Predictive complication factors for ct-guided fine needle aspiration biopsy of pulmonary lesions

array:24 ["pii" => "S1807593222029441" "issn" => "18075932" "doi" => "10.1590/S1807-59322010000900006" "estado" => "S300" "fechaPublicacion" => "2010-01-01" "aid" => "2944" "copyright" => "CLINICS" "copyrightAnyo" => "2010" "documento" => "article" "crossmark" => 0 "licencia" => "https://creativecommons.org/licenses/by-nc/3.0/" "subdocumento" => "fla" "cita" => "Clinics. 2010;65:847-50" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:1 [ "total" => 0 ] "itemSiguiente" => array:19 [ "pii" => "S1807593222029453" "issn" => "18075932" "doi" => "10.1590/S1807-59322010000900007" "estado" => "S300" "fechaPublicacion" => "2010-01-01" "aid" => "2945" "copyright" => "CLINICS" "documento" => "article" "crossmark" => 0 "licencia" => "https://creativecommons.org/licenses/by-nc/3.0/" "subdocumento" => "fla" "cita" => "Clinics. 2010;65:851-5" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:1 [ "total" => 0 ] "en" => array:11 [ "idiomaDefecto" => true "cabecera" => "Clinical Science" "titulo" => "Inpatient dermatological consultations in a university hospital" "tienePdf" => "en" "tieneTextoCompleto" => "en" "tieneResumen" => "en" "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "851" "paginaFinal" => "855" ] ] "contieneResumen" => array:1 [ "en" => true ] "contieneTextoCompleto" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Suzana Mancusi, Cyro Festa Neto" "autores" => array:2 [ 0 => array:2 [ "nombre" => "Suzana" "apellidos" => "Mancusi" ] 1 => array:2 [ "nombre" => "Cyro Festa" "apellidos" => "Neto" ] ] ] ] ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S1807593222029453?idApp=UINPBA00004N" "url" => "/18075932/0000006500000009/v1_202212011511/S1807593222029453/v1_202212011511/en/main.assets" ] "itemAnterior" => array:19 [ "pii" => "S180759322202943X" "issn" => "18075932" "doi" => "10.1590/S1807-59322010000900005" "estado" => "S300" "fechaPublicacion" => "2010-01-01" "aid" => "2943" "copyright" => "CLINICS" "documento" => "article" "crossmark" => 0 "licencia" => "https://creativecommons.org/licenses/by-nc/3.0/" "subdocumento" => "fla" "cita" => "Clinics. 2010;65:841-6" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:1 [ "total" => 0 ] "en" => array:12 [ "idiomaDefecto" => true "cabecera" => "Clinical Science" "titulo" => "Desaturation – distance ratio: a new concept for a functional assessment of interstitial lung diseases" "tienePdf" => "en" "tieneTextoCompleto" => "en" "tieneResumen" => "en" "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "841" "paginaFinal" => "846" ] ] "contieneResumen" => array:1 [ "en" => true ] "contieneTextoCompleto" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig1-cln_65p841" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 275 "Ancho" => 478 "Tamanyo" => 13202 ] ] "descripcion" => array:1 [ "en" => "Desaturation - Distance Ratio (DDR): calculated using the ratio between DAO2 [gray area - obtained by subtraction between each recorded SpO2 at every 2 seconds from 100% (maximal SpO2 )] and the distance walked.1- Desaturation - Distance Ratio (DDR): calculated using the ratio between DAO2 [gray area - obtained by subtraction between each recorded SpO2 at every 2 seconds from 100% (maximal SpO2 )] and the distance walked. Abbreviations: DAO2: desaturation area; SpO2: peripheral oxygen saturation" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Suzana Pinheiro Pimenta, Renata Barbosa da Rocha, Bruno Guedes Baldi, Alexandre de Melo Kawassaki, Ronaldo Adib Kairalla, Carlos Roberto Ribeiro Carvalho" "autores" => array:6 [ 0 => array:2 [ "nombre" => "Suzana Pinheiro" "apellidos" => "Pimenta" ] 1 => array:2 [ "nombre" => "Renata Barbosa" "apellidos" => "da Rocha" ] 2 => array:2 [ "nombre" => "Bruno Guedes" "apellidos" => "Baldi" ] 3 => array:2 [ "nombre" => "Alexandre" "apellidos" => "de Melo Kawassaki" ] 4 => array:2 [ "nombre" => "Ronaldo Adib" "apellidos" => "Kairalla" ] 5 => array:2 [ "nombre" => "Carlos Roberto Ribeiro" "apellidos" => "Carvalho" ] ] ] ] ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S180759322202943X?idApp=UINPBA00004N" "url" => "/18075932/0000006500000009/v1_202212011511/S180759322202943X/v1_202212011511/en/main.assets" ] "en" => array:17 [ "idiomaDefecto" => true "cabecera" => "Clinical Science" "titulo" => "Predictive complication factors for ct-guided fine needle aspiration biopsy of pulmonary lesions" "tieneTextoCompleto" => true "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "847" "paginaFinal" => "850" ] ] "autores" => array:1 [ 0 => array:4 [ "autoresLista" => "Marcos Duarte Guimarães, Marcony Queiroz de Andrade, Alexandre Calabria da Fonte, Gustavo Benevides, Rubens Chojniak, Jefferson Luiz Gross" "autores" => array:6 [ 0 => array:3 [ "nombre" => "Marcos Duarte" "apellidos" => "Guimarães" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "I" "identificador" => "af1-cln_65p847" ] ] ] 1 => array:4 [ "nombre" => "Marcony Queiroz" "apellidos" => "de Andrade" "email" => array:1 [ 0 => "marcos.guimaraes@accamargo.org.br" ] "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "I" "identificador" => "af1-cln_65p847" ] 1 => array:2 [ "etiqueta" => "*" "identificador" => "c1-cln_65p847" ] ] ] 2 => array:3 [ "nombre" => "Alexandre Calabria" "apellidos" => "da Fonte" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "I" "identificador" => "af1-cln_65p847" ] ] ] 3 => array:3 [ "nombre" => "Gustavo" "apellidos" => "Benevides" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "I" "identificador" => "af1-cln_65p847" ] ] ] 4 => array:3 [ "nombre" => "Rubens" "apellidos" => "Chojniak" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "I" "identificador" => "af1-cln_65p847" ] ] ] 5 => array:3 [ "nombre" => "Jefferson Luiz" "apellidos" => "Gross" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "II" "identificador" => "af2-cln_65p847" ] ] ] ] "afiliaciones" => array:2 [ 0 => array:3 [ "entidad" => "Department of Radiology, Hospital A. C. Camargo, São Paulo, SP, Brazil" "etiqueta" => "I" "identificador" => "af1-cln_65p847" ] 1 => array:3 [ "entidad" => "Department of Thoracic Surgery, Hospital A. C. Camargo, São Paulo, SP, Brazil" "etiqueta" => "II" "identificador" => "af2-cln_65p847" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "c1-cln_65p847" "etiqueta" => "*" "correspondencia" => "Tel.: 55 11 2189-5000 (1050)" ] ] ] ] "textoCompleto" => "INTRODUCTIONThere is a significant variation in literature regarding the potential for complications with computed tomography (CT)-guided percutaneous fine needle aspiration biopsy (FNAB) of thoracic lesions. The incidence of complications ranges between 7% and 62%; pneumothorax is the most frequent complication, and thoracic draining ranges between 1% and 31%.<a class="elsevierStyleCrossRefs" href="#bib1">1-5</a>Identifying characteristics such as the radiological aspects of the lesions, secondary pulmonary radiological findings, procedural aspects, and clinical characteristics such as co-morbidities can help uncover the reason for complications in patients submitted to the CT-guided FNAB of lung lesions.<a class="elsevierStyleCrossRefs" href="#bib6">6-7</a> The purpose of this study is to evaluate the influence of these characteristics in predicting complications from CT-guided FNAB of lung lesions.SUBJECTS AND METHODSThis is a retrospective analysis of all consecutive patients who received CT-guided FNAB of pulmonary lesions at an oncological center in Brazil between 1996 and 2004. From a total of 491 procedures evaluated, 362 (73.7%) were considered eligible for this study. Of the 129 excluded procedures, 6 (1.2%) were excluded because after cytological evaluation or upon follow-up, the lesions were defined as being on the chest wall or pleura; 26 (5.3%) were excluded for having divergences between the admission and chart registrations; and 97 (19.8%) were excluded because the procedure was performed with cutting needles, which are not the subject of this study. A total of 362 procedures performed on 340 patients are reported here; of these 362 procedures, 319 were of lesions that were submitted to biopsy once; 20 were of lesions submitted to biopsy twice; and one was of a lesion submitted to biopsy three times. Written informed consent was obtained from all patients. Information was collected from the charts available at the hospital's Medical Archive Service (MAS) and the percutaneous biopsy forms. These forms contain data regarding the location, size, and number of the lesions, the distance between the lesion and the needle entrance site, contour aspects of the lesions, and the relationship of the contour aspects to adjacent structures such as the mediastinum, or chest wall. Secondary radiological findings such as atelectasis, pleural effusion, cavitations, necrosis, infiltrates, adenopathy, and the presence of other tumors and comorbidities were also included. Radiologic findings were based on the CT report prior to the procedure; the FNABs were conducted by an oncologic radiologist with over 10 years experience in CT-guided FNAB, or by a resident in radiology under his guidance, following the standard procedure defined by the Department of Radiology.<a class="elsevierStyleCrossRef" href="#bib8">8</a>At the Department of Radiology, coagulation tests were checked routinely; when these tests were within normal parameters, the biopsy was planned and performed using a chest CT with thin slices (3–5 mm). The computer's cursor was used to measure the size of the lesions and the distances of the lesions from the biopsy needle entrance site. The skin was prepped with an antiseptic solution, and local anesthesia, with 1% lidocaine, was applied. The puncture needle was introduced, and new tomographic cuts were obtained in order to confirm or modify the needle position. The biopsies were performed within a breath-hold.The FNABs were performed using 22-gauge CHIBA-type needles; subsequently, the obtained material was prepared in smears and immersed in 90% alcohol. Due to the retrospective nature of our study, it was not possible to determine the number of thoracic transfixations done via the FNAB procedure. However, the number of thoracic transfixations was indirectly obtained using the number of smears made by the puncture. In the experience of the Department of Radiology at the Hospital of Cancer, each puncture will supply approximately 4 smears.Complications were considered when any new radiological occurrence was presented at the control exams with thoracic tomography being performed after biopsy, as well as new clinical symptoms and signs such as shortness of breath, intense dyspnea, thoracic pain, and hemoptisis appearing after biopsy.Control exams with 10 mm axial tomographic cuts involving the entire thorax were performed immediately and 2 to 4 hours after the procedure to confirm the presence of complications such as pneumothorax and hematoma.Pneumothorax was considered present when any material with aerated density accumulated in the pleural space. The tomographic control exam was anticipated if the patient demonstrated any signs or symptoms of acute respiratory discomfort. Hematoma was considered for each new opacification that was related to the lesion and to the contiguous pulmonary normal tissue that appeared following the puncture.The presence of hemoptisis during and in the first 24 hours following the puncture was considered a complication as well.By correlating the patient radiological data and co-morbidities with complication occurrence, we were able to determine the predictive factors for complication rates of CT-guided FNAB of lung lesions. Descriptive statistics were used when applied; the chi-square test or Fisher's exact test was applied when appropriate. A P value was considered statistically significant when equal to or less than 0.05.RESULTSOf the 362 FNABs performed, 212 (58.6%) were performed on male patients, and 150 (41.4%) were performed on female patients. The mean age was 61 ± 16 years, and the median age was 63 years old. The purpose of the FNAB referral was to obtain a primary diagnosis of a suspected malignant focal lesion in 215 (59.4%) procedures and to document possible secondary malignancy in 147 (40.6%) procedures.The lung lesions were right-sided in 163 (45%) procedures, and left-sided in 154 (42.5%) procedures. The lesion distribution by pulmonary lobes was as follows: 76 (21.0%) on the left superior lobe, 60 (16.6%) on the right superior lobe, 58 (16.0%) on the right inferior lobe, 48 (13.3%) on the left inferior lobe, and 27 (7.5%) on the middle lobe. In addition, this information was not available in 93 cases (25.7%).The diameters of the lung lesions varied from 9 to 140 mm (mean: 51.5 ± 24.3 mm; median: 40 mm); the distance between the lesion and the biopsy entry point on the skin varied from 10 to 130 mm (mean: 44 ± 20.9 mm; median: 52 mm). Additionally, 71 (40.1%) lesions were in contact with the pleura, and 106 (59.9%) had pulmonary tissue between the lesions and the pleura. The lesion contour type was irregular in 96 patients (26.5%), spiculated in 38 patients (10.5%), smooth in 37 patients (10.2%), and lobulated in 22 patients (6.0%); this information was not available in 169 cases (46.8%). In 148 (40.9%) procedures, the patient had one lung lesion, and in 25 (6.9%) of the procedures, the patient had two lesions. In 22 (6.1%) of the procedures, the patients had three lesions, and in 43 (11.9%) of the procedures, four or more lung lesions were present.The most common secondary radiologic findings were adenopathy (34 patients; 9.4%), additional tumors (32 patients; 8.8%), cavitation (16 patients; 4.4%), necrosis (14 patients; 3.9%), infiltration (13 patients; 3.3%), pleural effusion (10 patients; 2.8%), and opacification on the present lesion (4 patients; 1.1%).From a total of 362 needle biopsies, a cytological result was obtained from the patients' charts for 357 (98.5%) of those biopsies. Of the 357 punctures evaluated by the pathologist, the material was considered adequate for analysis in 304 biopsies (84%) and inadequate for analysis in 53 biopsies (14.6 %). The frequency of material adequacy for cytological analysis is shown in <a class="elsevierStyleCrossRef" href="#t1-cln_65p847">Table 1</a>.<elsevierMultimedia ident="t1-cln_65p847"></elsevierMultimedia>From a total of 362 biopsies, complications occurred in 51 (14.1%), pneumothorax being the most frequent. No complications were reported in 281 (77.6%) cases, and there was no available information in 30 (8.3%) cases, according to <a class="elsevierStyleCrossRef" href="#t2-cln_65p847">Table 2</a>.<elsevierMultimedia ident="t2-cln_65p847"></elsevierMultimedia>There was no difference in the complication rates in patients of different gender or age groups. There was also no statistical difference in complication rates for biopsies performed in groups of patients with different secondary radiological lung findings.<a class="elsevierStyleCrossRef" href="#t3-cln_65p847">Table 3</a> shows the distribution of the radiologic characteristics of the lesions and the corresponding rates of complications. The frequency of complications was higher in lesions that lacked contact with the pleura and with normal pulmonary tissue interposition between lesion and pleura, than in the lesions that maintained contact with the pleura (p = 0,03). There was no statistical difference in complication rates with the others radiological characteristics of lesions.<elsevierMultimedia ident="t3-cln_65p847"></elsevierMultimedia>There was no difference in the complication rates of patients belonging different co-morbidity groups. The information of co-morbidity was presented in 96 patients, as shown in <a class="elsevierStyleCrossRef" href="#t4-cln_65p847">Table 4</a>.<elsevierMultimedia ident="t4-cln_65p847"></elsevierMultimedia>Of the 51 (14.1%) patients who had complications, only 11 (21.1%) needed thoracic draining. Chronic obstructive pulmonary disease (COPD) was the most common co morbidity, with 5 (17.2%) cases of thoracic drainage. In contrast, of the patients without COPD, 4 (5.8%) cases demonstrated a statistically significant difference (p < 0.01).The total number of smears was not predictive of complication rates.DISCUSSIONPneumothorax, pulmonary hematoma, and hemoptisis are the most frequent complications of pulmonary biopsy guided by imaging methods.<a class="elsevierStyleCrossRefs" href="#bib4">4,6,7,10,11,14,16</a>The incidence of complications in CT-guided FNAB of lung lesions depends on several factors. Radiological and clinical characteristics such as size and depth of lesions, advanced age, abnormal tests of pulmonary function, and co-morbidities can contribute to the occurrence of complications.<a class="elsevierStyleCrossRefs" href="#bib11">11-13</a>Austin and Cohen (1993) demonstrated that lesions that contact the pleura do not develop into pneumothorax.<a class="elsevierStyleCrossRef" href="#bib16">16</a> Yankelevitz et al. (1997) demonstrated that the rate of pneumothorax was 20%, and that only 5.3% needed draining. They also observed that an increase in the frequency of pneumothorax occurred in lesions that were more than 30 mm away from the pleura, or nodules smaller than 10 mm.<a class="elsevierStyleCrossRef" href="#bib5">5</a> Wallace et al. (2002) demonstrated the highest rate of complications among the revised works, with CT-guided FNAB of lung lesions smaller than 10 mm presenting pneumothorax in 62% of the cases and thoracic drainage in 31% of the cases.<a class="elsevierStyleCrossRef" href="#bib5">5</a> One reason for this is that the multiple needles tranfixations of the pleural space could be needed to reach small and deep lesions when compared with superficial and large lesions.Li et al. (1996) had not demonstrated significant differences in the rates of complications of FNAB of lung lesions with equal and smaller diameter than 15 mm versus FNAB of lung lesions larger than 15 mm.[22] In the present work there was no statistically significant difference in the ratio of complications (p = 0,11) or the FNAB of superficial or deep lesions, taking as reference the median (52 mm). However, our study demonstrated more rates of complications on lesions that lack contact with pleura, which could be considered a landmark in differentiate that is superficial from deep lesions.Chojniak et al. (2006) demonstrated a rate of complication in 16%, and thoracic draining in 4.9% of patients submitted to CT-guided FNAB of lung lesions. <a class="elsevierStyleCrossRef" href="#bib8">8</a> In our work, the rate of pneumohorax was 11.1% and thoracic draining, 3.0%.The Department of Radiology of Hospital AC Camargo is a reference service and routinely performs CT-guided FNAB.<a class="elsevierStyleCrossRefs" href="#bib4">4,8,19</a> Perhaps the acquired experience, with procedures over the past years, can minimize the occurrence of complications in small and deep lesions of FNAB. However, according the retrospective nature, this study could have underestimated the rates of complications.Yu's et al. (2002) study on CT-guided percutaneous biopsies with cutting needles presented a rate of 17.3% complications, including: small pneumothorax with no draining required (11.5%), hemoptisis (1.9%); pulmonary hematoma (1.9%) and hematoma in the chest wall upon needle trajectory (1.9%).<a class="elsevierStyleCrossRef" href="#bib4">4</a> Sulhatin et al. (2002) demonstrated rates of 1.7% for hemoptisis and 1.4% for pulmonary hematoma, also without significant clinical repercussions.<a class="elsevierStyleCrossRef" href="#bib11">11</a> Conces et al. (1987) reveal rates of pulmonary hematoma and hemoptisis as 11% and 2%, respectively, with spontaneous resolution.<a class="elsevierStyleCrossRef" href="#bib16">16</a> In our study, the occurrence of complications such as hemoptisis and pulmonary hematoma was 1.9% and 1.1% respectively, with the same frequency found in the literature. No cases of artery embolism and tumor implantation were observed.Pneumothorax occurrence increased following FNAB in patients with COPD.<a class="elsevierStyleCrossRef" href="#bib13">13</a> Romano et al. (2004) found a pneumothorax rate of 11.8% (27) in his study on CT-guided FNAB lung lesions. Of these, only 6 (22.2%) required thoracic draining, but they all suffered from COPD. <a class="elsevierStyleCrossRef" href="#bib15">15</a> Vitulo et al. (1996) demonstrated that no parameter of functional results were predictive for pneumothorax. The only variables that correlated significantly with pneumothorax in this study were the interposition of normal tissue (p<0.01) and the depth of needle penetration in parênquima (p<0.05).<a class="elsevierStyleCrossRef" href="#bib12">12</a> On its own, COPD was not predictive for pneumothorax in our study. This result could have been influenced by the reduced amount of information collected in relation to the expected amount for the co-morbidities.Kazerooni et al. (1996) demonstrated that there was a higher rate of thoracic drainage in the population with severe COPD.<a class="elsevierStyleCrossRef" href="#bib13">13</a> In our study, thoracic draining also occurred with more frequency in patients with COPD, with a statistically significant difference (p<0.01) in relation to those without this co-morbidity. Although pulmonary function has not been evaluated in the present study, these patients usually have weak lung function and are susceptible to more precocious and evident clinical manifestations, even with a small pneumothorax, which makes them require thoracic draining more frequently than those without COPD.CONCLUSIONCT-guided percutaneous FNAB of lung lesions had a lower rate of complications in our study and presented higher rates of complications on lesions that lack pleural contact. COPD was the most common co-morbidity finding, with higher rates of thoracic drainage. These radiological and clinical characteristics should therefore be considered when ordering this procedure." "textoCompletoSecciones" => array:1 [ "secciones" => array:7 [ 0 => array:2 [ "identificador" => "xpalclavsec1582499" "titulo" => "KEYWORDS" ] 1 => array:2 [ "identificador" => "cesec10" "titulo" => "INTRODUCTION" ] 2 => array:2 [ "identificador" => "cesec20" "titulo" => "SUBJECTS AND METHODS" ] 3 => array:2 [ "identificador" => "cesec30" "titulo" => "RESULTS" ] 4 => array:2 [ "identificador" => "cesec40" "titulo" => "DISCUSSION" ] 5 => array:2 [ "identificador" => "cesec50" "titulo" => "CONCLUSION" ] 6 => array:1 [ "titulo" => "REFERENCES" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2010-05-04" "fechaAceptado" => "2010-06-09" "PalabrasClave" => array:1 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "KEYWORDS" "identificador" => "xpalclavsec1582499" "palabras" => array:5 [ 0 => "Fine" 1 => "Needle" 2 => "Biopsy" 3 => "Lung" 4 => "Complication" ] ] ] ] "tieneResumen" => true "resumen" => array:1 [ "en" => array:2 [ "resumen" => "OBJECTIVE:Distinct aspects can influence the complication rates of computed tomography-guided percutaneous fine needle aspiration biopsy of lung lesions. The purpose of the current study is to determine the influence of radiological techniques and clinical characteristics in predicting complications from this procedure. SUBJECTS AND METHODS:A retrospective study was developed involving 340 patients who were submitted to a consecutive series of 362 computed tomography-guided fine needle aspiration biopsies of lung lesions between July 1996 and June 2004, using 22-gauge needles (CHIBA). Variables such as the radiological characteristics of the lesions, secondary pulmonary radiological findings, co-morbidities, and aspects concerning the procedure were studied. RESULTS:The diameters of the lung lesions varied from 9 to 140 mm, with a mean of 51.5 ± 24.3 mm and median of 40 mm. The depth of the lesions varied from 10 mm to 130 mm, with a mean of 44 ± 20.9 mm, and median median of 52 mm. Complications occurred in 52 (14.4%) cases, pneumothorax being the most frequent, with 40 (11.1%) cases, followed by hemoptisis with 7 (1.9%) cases, and hematoma with 4 (1.1%) cases. Lesions that did not contact the pleura, with normal pulmonary tissue interposition between lesion and pleura, had higher complication rates, with 22 (22%) cases, than lesions that contact the pleura, with 6 (9%) cases, with a statistically significant difference (p = 0.03). CONCLUSIONS:CT-guided percutaneous fine needle aspiration biopsy of lung lesions had a lower rate of complications in our study and presented more rates of complications on lesions that lack pleural contact." "secciones" => array:4 [ 0 => array:2 [ "identificador" => "ceabs10" "titulo" => "OBJECTIVE:" ] 1 => array:2 [ "identificador" => "ceabs20" "titulo" => "SUBJECTS AND METHODS:" ] 2 => array:2 [ "identificador" => "ceabs30" "titulo" => "RESULTS:" ] 3 => array:2 [ "identificador" => "ceabs40" "titulo" => "CONCLUSIONS:" ] ] ] ] "multimedia" => array:4 [ 0 => array:7 [ "identificador" => "t1-cln_65p847" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:1 [ "tablatextoimagen" => array:1 [ 0 => array:1 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Material \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="bottom" scope="col" style="border-bottom: 2px solid black">n \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="bottom" scope="col" style="border-bottom: 2px solid black">(%) \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="3" align="left" valign="top">Adequate for Analysis</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Malignant \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">204 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">56.4 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Suspicion of malignancy \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">38 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">10.5 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Negative for malignancy \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">45 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">12.4 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Possibly Benign \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">17 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">4.7 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Total \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">304 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">84.0 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="3" align="left" valign="top">Inadequate for Analysis</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Insufficient \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">44 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">12.1 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Inadequate \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">2.5 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Total \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">53 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">14.6 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">No information \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">1.4 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Total \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">362 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">100 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] ] ] ] "descripcion" => array:1 [ "en" => "Cytological analysis results of 357 FNABs." ] ] 1 => array:7 [ "identificador" => "t2-cln_65p847" "etiqueta" => "Table 2" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:1 [ "tablatextoimagen" => array:1 [ 0 => array:1 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="bottom" scope="col" style="border-bottom: 2px solid black">Complications \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="bottom" scope="col" style="border-bottom: 2px solid black">n \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="bottom" scope="col" style="border-bottom: 2px solid black">(%) \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Pneumothorax \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="middle">40 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="middle">11.1 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Hemoptisis \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="middle">07 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="middle">1.9 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Hematoma \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="middle">04 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="middle">1.1 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">No Complications \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="middle">281 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="middle">77.6 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">No Informations \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="middle">30 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="middle">8.3 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Total \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="middle">362 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="middle">100 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] ] ] ] "descripcion" => array:1 [ "en" => "Distribution of complications rates of CT-guided FNAB of lung lesions." ] ] 2 => array:7 [ "identificador" => "t3-cln_65p847" "etiqueta" => "Table 3" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:2 [ "tablatextoimagen" => array:1 [ 0 => array:1 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Variables \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="bottom" scope="col" style="border-bottom: 2px solid black">n (%) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="bottom" scope="col" style="border-bottom: 2px solid black">n No Complic (%) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="bottom" scope="col" style="border-bottom: 2px solid black">n Yes Complic (%) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="bottom" scope="col" style="border-bottom: 2px solid black">p \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Contours \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">0.96 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Smooth \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">37 (20.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">5 (13.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">32 (86.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Lobulated \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">22 (11.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">3 (13.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">19 (86.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Spikulated \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">34 (18.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">4 (11.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">30 (88.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Irreg n especif.<a class="elsevierStyleCrossRef" href="#tfn1-cln_65p847">∗</a>1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">91 (99.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">14 (15.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">77 (84.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Width<a class="elsevierStyleCrossRef" href="#tfn1-cln_65p847">∗</a>2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">0.11 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">≤52mm \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">106 (48.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">15 (14.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">91 (85.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">> 52mm \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">111 (51.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">25 (22.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">86 (77.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Lung \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">0.06 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Right \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">153 (51.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">26 (17.0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">127 (83.0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Left \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">145 (48.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">23 (15.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">122 (84.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Size<a class="elsevierStyleCrossRef" href="#tfn1-cln_65p847">∗</a>3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">0.79 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top"><40mm \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">133 (49.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">20 (15.0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">113 (85.0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">≥40mm \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">134 (50.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">24 (17.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">110 (82.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Number of lesions \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">0.32 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">One \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">141 (62.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">24 (17.0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">117 (83.0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Two \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">24 (10.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">5 (20.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">19 (79.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Three \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">18 (7.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">1 (5.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">17 (94.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Four or more \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">43 (19.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">4 (9.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">39 (90.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Lobes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">0.23 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Superiors \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">130 (50.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">19 (14.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">111 (85.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Middle \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">27 (10.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">2 (7.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">25 (92.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Inferior \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">100 (39) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">20 (20) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">80 (80) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Pleura Contact \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">0.03 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Yes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">67 (40.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">6 (9.0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">61 (91.0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">No \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">100 (59.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">22 (22.0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">78 (78.0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Vital Organs<a class="elsevierStyleCrossRefs" href="#tfn1-cln_65p847">∗</a>4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">0.27 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Yes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">30 (17.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">3 (10) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">27 (90) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">No \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">137 (82.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">25 (18.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">112 (81.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] ] ] "notaPie" => array:4 [ 0 => array:3 [ "identificador" => "tfn1-cln_65p847" "etiqueta" => "∗" "nota" => "1 Irreg. non-specif., when contour of pulmonary injury was classified as irregular by radiologist without other specifications." ] 1 => array:3 [ "identificador" => "tfn2-cln_65p847" "etiqueta" => "∗" "nota" => "2 Superficial, when less or equal to the medium size; deep, when larger than the medium size." ] 2 => array:3 [ "identificador" => "tfn3-cln_65p847" "etiqueta" => "∗" "nota" => "3 Smaller Size, when less or equal to the medium size; larger size, when larger than the medium size." ] 3 => array:3 [ "identificador" => "tfn4-cln_65p847" "etiqueta" => "∗" "nota" => "4 Vital Organs, when there is a relation to structures considered as vital: heart, main bronchi, heart, pulmonary hilum, trachea, pericardium, inferior vena cava, aorta and pulmonary arteries and veins." ] ] ] "descripcion" => array:1 [ "en" => "Analysis of lung lesions radiological characteristics and occurrence of complications in CT-guided FNAB of lung lesions." ] ] 3 => array:7 [ "identificador" => "t4-cln_65p847" "etiqueta" => "Table 4" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:2 [ "tablatextoimagen" => array:1 [ 0 => array:1 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Comorbity \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="bottom" scope="col" style="border-bottom: 2px solid black">n \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="bottom" scope="col" style="border-bottom: 2px solid black">(%) \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">COPD<a class="elsevierStyleCrossRef" href="#tfn5-cln_65p847">∗</a>1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">30 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">8.3 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Hypertension \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">29 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">8.0 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Diabettes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">18 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">5.0 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">IHD<a class="elsevierStyleCrossRef" href="#tfn5-cln_65p847">∗</a>2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">05 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">1.4 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">CHF<a class="elsevierStyleCrossRef" href="#tfn5-cln_65p847">∗</a>3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">04 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">1.2 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Obesity \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">04 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">1.1 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="top">Others<a class="elsevierStyleCrossRefs" href="#tfn5-cln_65p847">∗</a>4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">06 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="top">1.6 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] ] ] "notaPie" => array:4 [ 0 => array:3 [ "identificador" => "tfn5-cln_65p847" "etiqueta" => "∗" "nota" => "1 COPD - Chonic Obstructive Pulmonary Disease." ] 1 => array:3 [ "identificador" => "tfn6-cln_65p847" "etiqueta" => "∗" "nota" => "2 IHD- Ischemic Heart Disease." ] 2 => array:3 [ "identificador" => "tfn7-cln_65p847" "etiqueta" => "∗" "nota" => "3 CHF- Congestive Heart Failure." ] 3 => array:3 [ "identificador" => "tfn8-cln_65p847" "etiqueta" => "∗" "nota" => "4 Others– Rheumatoid Arthritis, Lupus." ] ] ] "descripcion" => array:1 [ "en" => "Complications rates according to co-morbidity frequency." ] ] ] "bibliografia" => array:2 [ "titulo" => "REFERENCES" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "cebibsec10" "bibliografiaReferencia" => array:19 [ 0 => array:3 [ "identificador" => "bib1" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Computed tomography-guided transthoracic fine-needle aspiration in diagnosis of lung cancer: a comparison of single-pass needle and multiple-pass coaxial needle systems and the value of immediate cytological assessment" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:4 [ 0 => """ CU Küçük \n \t\t\t\t\t\t\t\t """ 1 => """ A Yilmaz \n \t\t\t\t\t\t\t\t """ 2 => """ A Yilmaz \n \t\t\t\t\t\t\t\t """ 3 => """ E Akkaya \n \t\t\t\t\t\t\t\t """ ] ] ] ] ] "host" => array:2 [ 0 => array:2 [ "doi" => "10.1111/j.1440-1843.2004.00607.x" "Revista" => array:6 [ "tituloSerie" => "Respirology" "fecha" => "2004" "volumen" => "9" "paginaInicial" => "392" "paginaFinal" => "396" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/15363014" "web" => "Medline" ] ] ] ] 1 => array:2 [ "doi" => "10.1111/j.1440-1843.2004.00607.x" "WWW" => array:1 [ "link" => "10.1111/j.1440-1843.2004.00607.x" ] ] ] ] ] ] 1 => array:3 [ "identificador" => "bib2" "etiqueta" => "2" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "CT-guided percutaneous fine-needle aspiration biopsy of small (< or  = 1-cm) pulmonary lesions" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => """ MJ Wallace \n \t\t\t\t\t\t\t\t """ 1 => """ S Krishnamurthy \n \t\t\t\t\t\t\t\t """ 2 => """ LD Broemeling \n \t\t\t\t\t\t\t\t """ 3 => """ S Gupta \n \t\t\t\t\t\t\t\t """ 4 => """ K Ahrar \n \t\t\t\t\t\t\t\t """ 5 => """ FA Morello Jr \n \t\t\t\t\t\t\t\t """ ] ] ] ] ] "host" => array:2 [ 0 => array:2 [ "doi" => "10.1148/radiol.2253011465" "Revista" => array:6 [ "tituloSerie" => "Radiology" "fecha" => "2002" "volumen" => "225" "paginaInicial" => "823" "paginaFinal" => "828" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/12461267" "web" => "Medline" ] ] ] ] 1 => array:2 [ "doi" => "10.1148/radiol.2253011465" "WWW" => array:1 [ "link" => "10.1148/radiol.2253011465" ] ] ] ] ] ] 2 => array:3 [ "identificador" => "bib3" "etiqueta" => "3" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Percutaneous transthoracic needle aspiration: A Review" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:3 [ 0 => """ LM Perlmutt \n \t\t\t\t\t\t\t\t """ 1 => """ WW Johnston \n \t\t\t\t\t\t\t\t """ 2 => """ NR Dunnick \n \t\t\t\t\t\t\t\t """ ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:5 [ "tituloSerie" => "Am J Roentgenol" "fecha" => "1989" "volumen" => "152" "paginaInicial" => "451" "paginaFinal" => "455" ] ] ] ] ] ] 3 => array:3 [ "identificador" => "bib4" "etiqueta" => "4" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Computed tomography-guided cutting needle biopsy of pulmonary lesions" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:4 [ 0 => """ LS Yu \n \t\t\t\t\t\t\t\t """ 1 => """ D Deheinzelin \n \t\t\t\t\t\t\t\t """ 2 => """ RN Younes \n \t\t\t\t\t\t\t\t """ 3 => """ R Chojniak \n \t\t\t\t\t\t\t\t """ ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1590/s0041-87812002000100003" "Revista" => array:6 [ "tituloSerie" => "Rev Hosp Clin Fac Med Sao Paulo" "fecha" => "2002" "volumen" => "57" "paginaInicial" => "15" "paginaFinal" => "18" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/12170344" "web" => "Medline" ] ] ] ] ] ] ] ] 4 => array:3 [ "identificador" => "bib5" "etiqueta" => "5" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "CT-guided transthoracic needle biopsy of small solitary pulmonary nodules" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:5 [ 0 => """ DF Yankelevitz \n \t\t\t\t\t\t\t\t """ 1 => """ CI Henschke \n \t\t\t\t\t\t\t\t """ 2 => """ JH Koizumi \n \t\t\t\t\t\t\t\t """ 3 => """ NK Altorki \n \t\t\t\t\t\t\t\t """ 4 => """ D Libby \n \t\t\t\t\t\t\t\t """ ] ] ] ] ] "host" => array:2 [ 0 => array:2 [ "doi" => "10.1016/s0899-7071(96)00011-3" "Revista" => array:6 [ "tituloSerie" => "Clin Imaging" "fecha" => "1997" "volumen" => "21" "paginaInicial" => "107" "paginaFinal" => "110" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/9095385" "web" => "Medline" ] ] ] ] 1 => array:2 [ "doi" => "10.1016/s0899-7071(96)00011-3" "WWW" => array:1 [ "link" => "10.1016/S0899-7071(96)00011-3" ] ] ] ] ] ] 5 => array:3 [ "identificador" => "bib6" "etiqueta" => "6" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Percutaneous core cutting needle biopsy compared with fine-needle aspiration in the diagnosis of peripheral lung malignant lesions: results in 156 patients" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:5 [ 0 => """ J Greif \n \t\t\t\t\t\t\t\t """ 1 => """ S Marmur \n \t\t\t\t\t\t\t\t """ 2 => """ Y Schwarz \n \t\t\t\t\t\t\t\t """ 3 => """ A Man \n \t\t\t\t\t\t\t\t """ 4 => """ AN Staroselsky \n \t\t\t\t\t\t\t\t """ ] ] ] ] ] "host" => array:2 [ 0 => array:1 [ "Revista" => array:5 [ "tituloSerie" => "Cancer" "fecha" => "1998" "volumen" => "25;84" "paginaInicial" => "144" "paginaFinal" => "147" ] ] 1 => array:1 [ "WWW" => array:1 [ "link" => "10.1002/(SICI)1097-0142(19980625)84:3<144::AID-CNCR4>3.0.CO;2-O" ] ] ] ] ] ] 6 => array:3 [ "identificador" => "bib7" "etiqueta" => "7" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "CT-guided percutaneous fine-needle aspiration biopsy of pulmonary nodules measuring 10 mm or less" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:8 [ 0 => """ YL Ng \n \t\t\t\t\t\t\t\t """ 1 => """ D Patsios \n \t\t\t\t\t\t\t\t """ 2 => """ H Roberts \n \t\t\t\t\t\t\t\t """ 3 => """ A Walsham \n \t\t\t\t\t\t\t\t """ 4 => """ NS Paul \n \t\t\t\t\t\t\t\t """ 5 => """ T Chung \n \t\t\t\t\t\t\t\t """ 6 => """ S Herman \n \t\t\t\t\t\t\t\t """ 7 => """ G Weisbrod \n \t\t\t\t\t\t\t\t """ ] ] ] ] ] "host" => array:2 [ 0 => array:2 [ "doi" => "10.1016/j.crad.2007.09.003" "Revista" => array:6 [ "tituloSerie" => "Clin Radiol" "fecha" => "2008" "volumen" => "63" "paginaInicial" => "272" "paginaFinal" => "277" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/18275867" "web" => "Medline" ] ] ] ] 1 => array:2 [ "doi" => "10.1016/j.crad.2007.09.003" "WWW" => array:1 [ "link" => "10.1016/j.crad.2007.09.003" ] ] ] ] ] ] 7 => array:3 [ "identificador" => "bib8" "etiqueta" => "8" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Computed tomography guided needle biopsy: experience from 1,300 procedures" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:6 [ 0 => """ R Chojniak \n \t\t\t\t\t\t\t\t """ 1 => """ RK Isberner \n \t\t\t\t\t\t\t\t """ 2 => """ LM Viana \n \t\t\t\t\t\t\t\t """ 3 => """ LS Yu 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Clinical Science

Marcos Duarte GuimarãesI, Marcony Queiroz de AndradeI,

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marcos.guimaraes@accamargo.org.br

Tel.: 55 11 2189-5000 (1050)

, Alexandre Calabria da FonteI, Gustavo BenevidesI, Rubens ChojniakI, Jefferson Luiz GrossII

I Department of Radiology, Hospital A. C. Camargo, São Paulo, SP, Brazil

II Department of Thoracic Surgery, Hospital A. C. Camargo, São Paulo, SP, Brazil

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    "titulo" => "Predictive complication factors for ct-guided fine needle aspiration biopsy of pulmonary lesions"
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    "textoCompleto" => "<span class="elsevierStyleSections"><span id="cesec10" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle60">INTRODUCTION</span><p id="para10" class="elsevierStylePara elsevierViewall">There is a significant variation in literature regarding the potential for complications with computed tomography &#40;CT&#41;-guided percutaneous fine needle aspiration biopsy &#40;FNAB&#41; of thoracic lesions&#46; The incidence of complications ranges between 7&#37; and 62&#37;&#59; pneumothorax is the most frequent complication&#44; and thoracic draining ranges between 1&#37; and 31&#37;&#46;<a class="elsevierStyleCrossRefs" href="#bib1">1-5</a></p><p id="para20" class="elsevierStylePara elsevierViewall">Identifying characteristics such as the radiological aspects of the lesions&#44; secondary pulmonary radiological findings&#44; procedural aspects&#44; and clinical characteristics such as co-morbidities can help uncover the reason for complications in patients submitted to the CT-guided FNAB of lung lesions&#46;<a class="elsevierStyleCrossRefs" href="#bib6">6-7</a> The purpose of this study is to evaluate the influence of these characteristics in predicting complications from CT-guided FNAB of lung lesions&#46;</p></span><span id="cesec20" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle70">SUBJECTS AND METHODS</span><p id="para30" class="elsevierStylePara elsevierViewall">This is a retrospective analysis of all consecutive patients who received CT-guided FNAB of pulmonary lesions at an oncological center in Brazil between 1996 and 2004&#46; From a total of 491 procedures evaluated&#44; 362 &#40;73&#46;7&#37;&#41; were considered eligible for this study&#46; Of the 129 excluded procedures&#44; 6 &#40;1&#46;2&#37;&#41; were excluded because after cytological evaluation or upon follow-up&#44; the lesions were defined as being on the chest wall or pleura&#59; 26 &#40;5&#46;3&#37;&#41; were excluded for having divergences between the admission and chart registrations&#59; and 97 &#40;19&#46;8&#37;&#41; were excluded because the procedure was performed with cutting needles&#44; which are not the subject of this study&#46; A total of 362 procedures performed on 340 patients are reported here&#59; of these 362 procedures&#44; 319 were of lesions that were submitted to biopsy once&#59; 20 were of lesions submitted to biopsy twice&#59; and one was of a lesion submitted to biopsy three times&#46; Written informed consent was obtained from all patients&#46; Information was collected from the charts available at the hospital&#39;s Medical Archive Service &#40;MAS&#41; and the percutaneous biopsy forms&#46; These forms contain data regarding the location&#44; size&#44; and number of the lesions&#44; the distance between the lesion and the needle entrance site&#44; contour aspects of the lesions&#44; and the relationship of the contour aspects to adjacent structures such as the mediastinum&#44; or chest wall&#46; Secondary radiological findings such as atelectasis&#44; pleural effusion&#44; cavitations&#44; necrosis&#44; infiltrates&#44; adenopathy&#44; and the presence of other tumors and comorbidities were also included&#46; Radiologic findings were based on the CT report prior to the procedure&#59; the FNABs were conducted by an oncologic radiologist with over 10 years experience in CT-guided FNAB&#44; or by a resident in radiology under his guidance&#44; following the standard procedure defined by the Department of Radiology&#46;<a class="elsevierStyleCrossRef" href="#bib8">8</a></p><p id="para40" class="elsevierStylePara elsevierViewall">At the Department of Radiology&#44; coagulation tests were checked routinely&#59; when these tests were within normal parameters&#44; the biopsy was planned and performed using a chest CT with thin slices &#40;3&#8211;5 mm&#41;&#46; The computer&#39;s cursor was used to measure the size of the lesions and the distances of the lesions from the biopsy needle entrance site&#46; The skin was prepped with an antiseptic solution&#44; and local anesthesia&#44; with 1&#37; lidocaine&#44; was applied&#46; The puncture needle was introduced&#44; and new tomographic cuts were obtained in order to confirm or modify the needle position&#46; The biopsies were performed within a breath-hold&#46;</p><p id="para50" class="elsevierStylePara elsevierViewall">The FNABs were performed using 22-gauge CHIBA-type needles&#59; subsequently&#44; the obtained material was prepared in smears and immersed in 90&#37; alcohol&#46; Due to the retrospective nature of our study&#44; it was not possible to determine the number of thoracic transfixations done via the FNAB procedure&#46; However&#44; the number of thoracic transfixations was indirectly obtained using the number of smears made by the puncture&#46; In the experience of the Department of Radiology at the Hospital of Cancer&#44; each puncture will supply approximately 4 smears&#46;</p><p id="para60" class="elsevierStylePara elsevierViewall">Complications were considered when any new radiological occurrence was presented at the control exams with thoracic tomography being performed after biopsy&#44; as well as new clinical symptoms and signs such as shortness of breath&#44; intense dyspnea&#44; thoracic pain&#44; and hemoptisis appearing after biopsy&#46;</p><p id="para70" class="elsevierStylePara elsevierViewall">Control exams with 10 mm axial tomographic cuts involving the entire thorax were performed immediately and 2 to 4 hours after the procedure to confirm the presence of complications such as pneumothorax and hematoma&#46;</p><p id="para80" class="elsevierStylePara elsevierViewall">Pneumothorax was considered present when any material with aerated density accumulated in the pleural space&#46; The tomographic control exam was anticipated if the patient demonstrated any signs or symptoms of acute respiratory discomfort&#46; Hematoma was considered for each new opacification that was related to the lesion and to the contiguous pulmonary normal tissue that appeared following the puncture&#46;</p><p id="para90" class="elsevierStylePara elsevierViewall">The presence of hemoptisis during and in the first 24 hours following the puncture was considered a complication as well&#46;</p><p id="para100" class="elsevierStylePara elsevierViewall">By correlating the patient radiological data and co-morbidities with complication occurrence&#44; we were able to determine the predictive factors for complication rates of CT-guided FNAB of lung lesions&#46; Descriptive statistics were used when applied&#59; the chi-square test or Fisher&#39;s exact test was applied when appropriate&#46; A <span class="elsevierStyleItalic">P</span> value was considered statistically significant when equal to or less than 0&#46;05&#46;</p></span><span id="cesec30" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle80">RESULTS</span><p id="para110" class="elsevierStylePara elsevierViewall">Of the 362 FNABs performed&#44; 212 &#40;58&#46;6&#37;&#41; were performed on male patients&#44; and 150 &#40;41&#46;4&#37;&#41; were performed on female patients&#46; The mean age was 61 &#177; 16 years&#44; and the median age was 63 years old&#46; The purpose of the FNAB referral was to obtain a primary diagnosis of a suspected malignant focal lesion in 215 &#40;59&#46;4&#37;&#41; procedures and to document possible secondary malignancy in 147 &#40;40&#46;6&#37;&#41; procedures&#46;</p><p id="para120" class="elsevierStylePara elsevierViewall">The lung lesions were right-sided in 163 &#40;45&#37;&#41; procedures&#44; and left-sided in 154 &#40;42&#46;5&#37;&#41; procedures&#46; The lesion distribution by pulmonary lobes was as follows&#58; 76 &#40;21&#46;0&#37;&#41; on the left superior lobe&#44; 60 &#40;16&#46;6&#37;&#41; on the right superior lobe&#44; 58 &#40;16&#46;0&#37;&#41; on the right inferior lobe&#44; 48 &#40;13&#46;3&#37;&#41; on the left inferior lobe&#44; and 27 &#40;7&#46;5&#37;&#41; on the middle lobe&#46; In addition&#44; this information was not available in 93 cases &#40;25&#46;7&#37;&#41;&#46;</p><p id="para130" class="elsevierStylePara elsevierViewall">The diameters of the lung lesions varied from 9 to 140 mm &#40;mean&#58; 51&#46;5 &#177; 24&#46;3 mm&#59; median&#58; 40 mm&#41;&#59; the distance between the lesion and the biopsy entry point on the skin varied from 10 to 130 mm &#40;mean&#58; 44 &#177; 20&#46;9 mm&#59; median&#58; 52 mm&#41;&#46; Additionally&#44; 71 &#40;40&#46;1&#37;&#41; lesions were in contact with the pleura&#44; and 106 &#40;59&#46;9&#37;&#41; had pulmonary tissue between the lesions and the pleura&#46; The lesion contour type was irregular in 96 patients &#40;26&#46;5&#37;&#41;&#44; spiculated in 38 patients &#40;10&#46;5&#37;&#41;&#44; smooth in 37 patients &#40;10&#46;2&#37;&#41;&#44; and lobulated in 22 patients &#40;6&#46;0&#37;&#41;&#59; this information was not available in 169 cases &#40;46&#46;8&#37;&#41;&#46; In 148 &#40;40&#46;9&#37;&#41; procedures&#44; the patient had one lung lesion&#44; and in 25 &#40;6&#46;9&#37;&#41; of the procedures&#44; the patient had two lesions&#46; In 22 &#40;6&#46;1&#37;&#41; of the procedures&#44; the patients had three lesions&#44; and in 43 &#40;11&#46;9&#37;&#41; of the procedures&#44; four or more lung lesions were present&#46;</p><p id="para140" class="elsevierStylePara elsevierViewall">The most common secondary radiologic findings were adenopathy &#40;34 patients&#59; 9&#46;4&#37;&#41;&#44; additional tumors &#40;32 patients&#59; 8&#46;8&#37;&#41;&#44; cavitation &#40;16 patients&#59; 4&#46;4&#37;&#41;&#44; necrosis &#40;14 patients&#59; 3&#46;9&#37;&#41;&#44; infiltration &#40;13 patients&#59; 3&#46;3&#37;&#41;&#44; pleural effusion &#40;10 patients&#59; 2&#46;8&#37;&#41;&#44; and opacification on the present lesion &#40;4 patients&#59; 1&#46;1&#37;&#41;&#46;</p><p id="para150" class="elsevierStylePara elsevierViewall">From a total of 362 needle biopsies&#44; a cytological result was obtained from the patients&#39; charts for 357 &#40;98&#46;5&#37;&#41; of those biopsies&#46; Of the 357 punctures evaluated by the pathologist&#44; the material was considered adequate for analysis in 304 biopsies &#40;84&#37;&#41; and inadequate for analysis in 53 biopsies &#40;14&#46;6 &#37;&#41;&#46; The frequency of material adequacy for cytological analysis is shown in <a class="elsevierStyleCrossRef" href="#t1-cln_65p847">Table 1</a>&#46;</p><elsevierMultimedia ident="t1-cln_65p847"></elsevierMultimedia><p id="para160" class="elsevierStylePara elsevierViewall">From a total of 362 biopsies&#44; complications occurred in 51 &#40;14&#46;1&#37;&#41;&#44; pneumothorax being the most frequent&#46; No complications were reported in 281 &#40;77&#46;6&#37;&#41; cases&#44; and there was no available information in 30 &#40;8&#46;3&#37;&#41; cases&#44; according to <a class="elsevierStyleCrossRef" href="#t2-cln_65p847">Table 2</a>&#46;</p><elsevierMultimedia ident="t2-cln_65p847"></elsevierMultimedia><p id="para170" class="elsevierStylePara elsevierViewall">There was no difference in the complication rates in patients of different gender or age groups&#46; There was also no statistical difference in complication rates for biopsies performed in groups of patients with different secondary radiological lung findings&#46;</p><p id="para180" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#t3-cln_65p847">Table 3</a> shows the distribution of the radiologic characteristics of the lesions and the corresponding rates of complications&#46; The frequency of complications was higher in lesions that lacked contact with the pleura and with normal pulmonary tissue interposition between lesion and pleura&#44; than in the lesions that maintained contact with the pleura &#40;p &#61; 0&#44;03&#41;&#46; There was no statistical difference in complication rates with the others radiological characteristics of lesions&#46;</p><elsevierMultimedia ident="t3-cln_65p847"></elsevierMultimedia><p id="para190" class="elsevierStylePara elsevierViewall">There was no difference in the complication rates of patients belonging different co-morbidity groups&#46; The information of co-morbidity was presented in 96 patients&#44; as shown in <a class="elsevierStyleCrossRef" href="#t4-cln_65p847">Table 4</a>&#46;</p><elsevierMultimedia ident="t4-cln_65p847"></elsevierMultimedia><p id="para200" class="elsevierStylePara elsevierViewall">Of the 51 &#40;14&#46;1&#37;&#41; patients who had complications&#44; only 11 &#40;21&#46;1&#37;&#41; needed thoracic draining&#46; Chronic obstructive pulmonary disease &#40;COPD&#41; was the most common co morbidity&#44; with 5 &#40;17&#46;2&#37;&#41; cases of thoracic drainage&#46; In contrast&#44; of the patients without COPD&#44; 4 &#40;5&#46;8&#37;&#41; cases demonstrated a statistically significant difference &#40;<span class="elsevierStyleItalic">p</span> &#60; 0&#46;01&#41;&#46;</p><p id="para210" class="elsevierStylePara elsevierViewall">The total number of smears was not predictive of complication rates&#46;</p></span><span id="cesec40" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle90">DISCUSSION</span><p id="para220" class="elsevierStylePara elsevierViewall">Pneumothorax&#44; pulmonary hematoma&#44; and hemoptisis are the most frequent complications of pulmonary biopsy guided by imaging methods&#46;<a class="elsevierStyleCrossRefs" href="#bib4">4&#44;6&#44;7&#44;10&#44;11&#44;14&#44;16</a></p><p id="para230" class="elsevierStylePara elsevierViewall">The incidence of complications in CT-guided FNAB of lung lesions depends on several factors&#46; Radiological and clinical characteristics such as size and depth of lesions&#44; advanced age&#44; abnormal tests of pulmonary function&#44; and co-morbidities can contribute to the occurrence of complications&#46;<a class="elsevierStyleCrossRefs" href="#bib11">11-13</a></p><p id="para240" class="elsevierStylePara elsevierViewall">Austin and Cohen &#40;1993&#41; demonstrated that lesions that contact the pleura do not develop into pneumothorax&#46;<a class="elsevierStyleCrossRef" href="#bib16">16</a> Yankelevitz et al&#46; &#40;1997&#41; demonstrated that the rate of pneumothorax was 20&#37;&#44; and that only 5&#46;3&#37; needed draining&#46; They also observed that an increase in the frequency of pneumothorax occurred in lesions that were more than 30 mm away from the pleura&#44; or nodules smaller than 10 mm&#46;<a class="elsevierStyleCrossRef" href="#bib5">5</a> Wallace et al&#46; &#40;2002&#41; demonstrated the highest rate of complications among the revised works&#44; with CT-guided FNAB of lung lesions smaller than 10 mm presenting pneumothorax in 62&#37; of the cases and thoracic drainage in 31&#37; of the cases&#46;<a class="elsevierStyleCrossRef" href="#bib5">5</a> One reason for this is that the multiple needles tranfixations of the pleural space could be needed to reach small and deep lesions when compared with superficial and large lesions&#46;</p><p id="para250" class="elsevierStylePara elsevierViewall">Li et al&#46; &#40;1996&#41; had not demonstrated significant differences in the rates of complications of FNAB of lung lesions with equal and smaller diameter than 15 mm versus FNAB of lung lesions larger than 15 mm&#46;&#91;22&#93; In the present work there was no statistically significant difference in the ratio of complications &#40;p &#61; 0&#44;11&#41; or the FNAB of superficial or deep lesions&#44; taking as reference the median &#40;52 mm&#41;&#46; However&#44; our study demonstrated more rates of complications on lesions that lack contact with pleura&#44; which could be considered a landmark in differentiate that is superficial from deep lesions&#46;</p><p id="para260" class="elsevierStylePara elsevierViewall">Chojniak et al&#46; &#40;2006&#41; demonstrated a rate of complication in 16&#37;&#44; and thoracic draining in 4&#46;9&#37; of patients submitted to CT-guided FNAB of lung lesions&#46; <a class="elsevierStyleCrossRef" href="#bib8">8</a> In our work&#44; the rate of pneumohorax was 11&#46;1&#37; and thoracic draining&#44; 3&#46;0&#37;&#46;</p><p id="para270" class="elsevierStylePara elsevierViewall">The Department of Radiology of Hospital AC Camargo is a reference service and routinely performs CT-guided FNAB&#46;<a class="elsevierStyleCrossRefs" href="#bib4">4&#44;8&#44;19</a> Perhaps the acquired experience&#44; with procedures over the past years&#44; can minimize the occurrence of complications in small and deep lesions of FNAB&#46; However&#44; according the retrospective nature&#44; this study could have underestimated the rates of complications&#46;</p><p id="para280" class="elsevierStylePara elsevierViewall">Yu&#39;s et al&#46; &#40;2002&#41; study on CT-guided percutaneous biopsies with cutting needles presented a rate of 17&#46;3&#37; complications&#44; including&#58; small pneumothorax with no draining required &#40;11&#46;5&#37;&#41;&#44; hemoptisis &#40;1&#46;9&#37;&#41;&#59; pulmonary hematoma &#40;1&#46;9&#37;&#41; and hematoma in the chest wall upon needle trajectory &#40;1&#46;9&#37;&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib4">4</a> Sulhatin et al&#46; &#40;2002&#41; demonstrated rates of 1&#46;7&#37; for hemoptisis and 1&#46;4&#37; for pulmonary hematoma&#44; also without significant clinical repercussions&#46;<a class="elsevierStyleCrossRef" href="#bib11">11</a> Conces et al&#46; &#40;1987&#41; reveal rates of pulmonary hematoma and hemoptisis as 11&#37; and 2&#37;&#44; respectively&#44; with spontaneous resolution&#46;<a class="elsevierStyleCrossRef" href="#bib16">16</a> In our study&#44; the occurrence of complications such as hemoptisis and pulmonary hematoma was 1&#46;9&#37; and 1&#46;1&#37; respectively&#44; with the same frequency found in the literature&#46; No cases of artery embolism and tumor implantation were observed&#46;</p><p id="para290" class="elsevierStylePara elsevierViewall">Pneumothorax occurrence increased following FNAB in patients with COPD&#46;<a class="elsevierStyleCrossRef" href="#bib13">13</a> Romano et al&#46; &#40;2004&#41; found a pneumothorax rate of 11&#46;8&#37; &#40;27&#41; in his study on CT-guided FNAB lung lesions&#46; Of these&#44; only 6 &#40;22&#46;2&#37;&#41; required thoracic draining&#44; but they all suffered from COPD&#46; <a class="elsevierStyleCrossRef" href="#bib15">15</a> Vitulo et al&#46; &#40;1996&#41; demonstrated that no parameter of functional results were predictive for pneumothorax&#46; The only variables that correlated significantly with pneumothorax in this study were the interposition of normal tissue &#40;p&#60;0&#46;01&#41; and the depth of needle penetration in par&#234;nquima &#40;p&#60;0&#46;05&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib12">12</a> On its own&#44; COPD was not predictive for pneumothorax in our study&#46; This result could have been influenced by the reduced amount of information collected in relation to the expected amount for the co-morbidities&#46;</p><p id="para300" class="elsevierStylePara elsevierViewall">Kazerooni et al&#46; &#40;1996&#41; demonstrated that there was a higher rate of thoracic drainage in the population with severe COPD&#46;<a class="elsevierStyleCrossRef" href="#bib13">13</a> In our study&#44; thoracic draining also occurred with more frequency in patients with COPD&#44; with a statistically significant difference &#40;p&#60;0&#46;01&#41; in relation to those without this co-morbidity&#46; Although pulmonary function has not been evaluated in the present study&#44; these patients usually have weak lung function and are susceptible to more precocious and evident clinical manifestations&#44; even with a small pneumothorax&#44; which makes them require thoracic draining more frequently than those without COPD&#46;</p></span><span id="cesec50" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle100">CONCLUSION</span><p id="para310" class="elsevierStylePara elsevierViewall">CT-guided percutaneous FNAB of lung lesions had a lower rate of complications in our study and presented higher rates of complications on lesions that lack pleural contact&#46; COPD was the most common co-morbidity finding&#44; with higher rates of thoracic drainage&#46; These radiological and clinical characteristics should therefore be considered when ordering this procedure&#46;</p></span></span>"
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        "resumen" => "<span id="ceabs10" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle10">OBJECTIVE&#58;</span><p id="spara50" class="elsevierStyleSimplePara elsevierViewall">Distinct aspects can influence the complication rates of computed tomography-guided percutaneous fine needle aspiration biopsy of lung lesions&#46; The purpose of the current study is to determine the influence of radiological techniques and clinical characteristics in predicting complications from this procedure&#46;</p></span> <span id="ceabs20" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle20">SUBJECTS AND METHODS&#58;</span><p id="spara60" class="elsevierStyleSimplePara elsevierViewall">A retrospective study was developed involving 340 patients who were submitted to a consecutive series of 362 computed tomography-guided fine needle aspiration biopsies of lung lesions between July 1996 and June 2004&#44; using 22-gauge needles &#40;CHIBA&#41;&#46; Variables such as the radiological characteristics of the lesions&#44; secondary pulmonary radiological findings&#44; co-morbidities&#44; and aspects concerning the procedure were studied&#46;</p></span> <span id="ceabs30" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle30">RESULTS&#58;</span><p id="spara70" class="elsevierStyleSimplePara elsevierViewall">The diameters of the lung lesions varied from 9 to 140 mm&#44; with a mean of 51&#46;5 &#177; 24&#46;3 mm and median of 40 mm&#46; The depth of the lesions varied from 10 mm to 130 mm&#44; with a mean of 44 &#177; 20&#46;9 mm&#44; and median median of 52 mm&#46; Complications occurred in 52 &#40;14&#46;4&#37;&#41; cases&#44; pneumothorax being the most frequent&#44; with 40 &#40;11&#46;1&#37;&#41; cases&#44; followed by hemoptisis with 7 &#40;1&#46;9&#37;&#41; cases&#44; and hematoma with 4 &#40;1&#46;1&#37;&#41; cases&#46; Lesions that did not contact the pleura&#44; with normal pulmonary tissue interposition between lesion and pleura&#44; had higher complication rates&#44; with 22 &#40;22&#37;&#41; cases&#44; than lesions that contact the pleura&#44; with 6 &#40;9&#37;&#41; cases&#44; with a statistically significant difference &#40;p &#61; 0&#46;03&#41;&#46;</p></span> <span id="ceabs40" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cestitle40">CONCLUSIONS&#58;</span><p id="spara80" class="elsevierStyleSimplePara elsevierViewall">CT-guided percutaneous fine needle aspiration biopsy of lung lesions had a lower rate of complications in our study and presented more rates of complications on lesions that lack pleural contact&#46;</p></span>"
        "secciones" => array:4 [
          0 => array:2 [
            "identificador" => "ceabs10"
            "titulo" => "OBJECTIVE&#58;"
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          1 => array:2 [
            "identificador" => "ceabs20"
            "titulo" => "SUBJECTS AND METHODS&#58;"
          ]
          2 => array:2 [
            "identificador" => "ceabs30"
            "titulo" => "RESULTS&#58;"
          ]
          3 => array:2 [
            "identificador" => "ceabs40"
            "titulo" => "CONCLUSIONS&#58;"
          ]
        ]
      ]
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    "multimedia" => array:4 [
      0 => array:7 [
        "identificador" => "t1-cln_65p847"
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        "tabla" => array:1 [
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              "tabla" => array:1 [
                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Material&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="center" valign="bottom" scope="col" style="border-bottom: 2px solid black">n&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="center" valign="bottom" scope="col" style="border-bottom: 2px solid black">&#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="3" align="left" valign="top"><span class="elsevierStyleBold"><span class="elsevierStyleItalic">Adequate for Analysis</span></span></td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Malignant&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">204&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">56&#46;4&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Suspicion of malignancy&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">38&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">10&#46;5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Negative for malignancy&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">45&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">12&#46;4&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Possibly Benign&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">17&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">4&#46;7&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Total&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">304&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">84&#46;0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="3" align="left" valign="top"><span class="elsevierStyleBold"><span class="elsevierStyleItalic">Inadequate for Analysis</span></span></td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Insufficient&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">44&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">12&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Inadequate&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">9&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">2&#46;5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Total&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">53&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">14&#46;6&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top"><span class="elsevierStyleBold"><span class="elsevierStyleItalic">No information</span></span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">1&#46;4&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top"><span class="elsevierStyleBold"><span class="elsevierStyleItalic">Total</span></span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">362&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">100&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
              ]
            ]
          ]
        ]
        "descripcion" => array:1 [
          "en" => "<p id="spara10" class="elsevierStyleSimplePara elsevierViewall">Cytological analysis results of 357 FNABs&#46;</p>"
        ]
      ]
      1 => array:7 [
        "identificador" => "t2-cln_65p847"
        "etiqueta" => "Table 2"
        "tipo" => "MULTIMEDIATABLA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "tabla" => array:1 [
          "tablatextoimagen" => array:1 [
            0 => array:1 [
              "tabla" => array:1 [
                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="bottom" scope="col" style="border-bottom: 2px solid black">Complications&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="center" valign="bottom" scope="col" style="border-bottom: 2px solid black">n&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="center" valign="bottom" scope="col" style="border-bottom: 2px solid black">&#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">Pneumothorax&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="middle">40&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="middle">11&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">Hemoptisis&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="middle">07&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="middle">1&#46;9&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">Hematoma&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="middle">04&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="middle">1&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">No Complications&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="middle">281&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="middle">77&#46;6&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">No Informations&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="middle">30&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="middle">8&#46;3&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">Total&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="middle">362&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="middle">100&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
              ]
            ]
          ]
        ]
        "descripcion" => array:1 [
          "en" => "<p id="spara20" class="elsevierStyleSimplePara elsevierViewall">Distribution of complications rates of CT-guided FNAB of lung lesions&#46;</p>"
        ]
      ]
      2 => array:7 [
        "identificador" => "t3-cln_65p847"
        "etiqueta" => "Table 3"
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        "mostrarFloat" => true
        "mostrarDisplay" => false
        "tabla" => array:2 [
          "tablatextoimagen" => array:1 [
            0 => array:1 [
              "tabla" => array:1 [
                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Variables&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="center" valign="bottom" scope="col" style="border-bottom: 2px solid black">n &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="center" valign="bottom" scope="col" style="border-bottom: 2px solid black">n No Complic &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="center" valign="bottom" scope="col" style="border-bottom: 2px solid black">n Yes Complic &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="center" valign="bottom" scope="col" style="border-bottom: 2px solid black">p&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">Contours&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">0&#46;96&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">Smooth&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">37 &#40;20&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">5 &#40;13&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">32 &#40;86&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">Lobulated&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">22 &#40;11&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">3 &#40;13&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">19 &#40;86&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">Spikulated&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">34 &#40;18&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">4 &#40;11&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">30 &#40;88&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">Irreg n especif&#46;<a class="elsevierStyleCrossRef" href="#tfn1-cln_65p847">&#8727;</a>1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">91 &#40;99&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">14 &#40;15&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">77 &#40;84&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">Width<a class="elsevierStyleCrossRef" href="#tfn1-cln_65p847">&#8727;</a>2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">0&#46;11&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">&#8804;52mm&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">106 &#40;48&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">15 &#40;14&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">91 &#40;85&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">&#62; 52mm&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">111 &#40;51&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">25 &#40;22&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">86 &#40;77&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">Lung&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">0&#46;06&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">Right&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">153 &#40;51&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">26 &#40;17&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">127 &#40;83&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">Left&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">145 &#40;48&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">23 &#40;15&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">122 &#40;84&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">Size<a class="elsevierStyleCrossRef" href="#tfn1-cln_65p847">&#8727;</a>3&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">0&#46;79&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">&#60;40mm&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">133 &#40;49&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">20 &#40;15&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">113 &#40;85&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">&#8805;40mm&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">134 &#40;50&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">24 &#40;17&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">110 &#40;82&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">Number of lesions&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">0&#46;32&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">One&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">141 &#40;62&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">24 &#40;17&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">117 &#40;83&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">Two&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">24 &#40;10&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">5 &#40;20&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">19 &#40;79&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">Three&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">18 &#40;7&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">1 &#40;5&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">17 &#40;94&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">Four or more&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">43 &#40;19&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">4 &#40;9&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">39 &#40;90&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">Lobes&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">0&#46;23&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">Superiors&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">130 &#40;50&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">19 &#40;14&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">111 &#40;85&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">Middle&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">27 &#40;10&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">2 &#40;7&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">25 &#40;92&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">Inferior&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">100 &#40;39&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">20 &#40;20&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">80 &#40;80&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">Pleura Contact&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="top">0&#46;03&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">Yes&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">67 &#40;40&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">6 &#40;9&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">61 &#40;91&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">No&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">100 &#40;59&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">22 &#40;22&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">78 &#40;78&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">Vital Organs<a class="elsevierStyleCrossRefs" href="#tfn1-cln_65p847">&#8727;</a>4&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">0&#46;27&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">Yes&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">30 &#40;17&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">3 &#40;10&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">27 &#40;90&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">No&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">137 &#40;82&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">25 &#40;18&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="top">112 &#40;81&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
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              "identificador" => "tfn1-cln_65p847"
              "etiqueta" => "&#8727;"
              "nota" => "<p class="elsevierStyleNotepara" id="cenpara10"><span class="elsevierStyleBold">1 Irreg&#46; non-specif</span>&#46;&#44; when contour of pulmonary injury was classified as irregular by radiologist without other specifications&#46;</p>"
            ]
            1 => array:3 [
              "identificador" => "tfn2-cln_65p847"
              "etiqueta" => "&#8727;"
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                  \t\t\t\t  " align="char" valign="top">29&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="top">8&#46;0&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="top">18&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="top">5&#46;0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="top">IHD<a class="elsevierStyleCrossRef" href="#tfn5-cln_65p847">&#8727;</a>2&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="top">05&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="top">1&#46;4&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="top">04&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="top">1&#46;2&nbsp;\t\t\t\t\t\t\n
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          "en" => "<p id="spara40" class="elsevierStyleSimplePara elsevierViewall">Complications rates according to co-morbidity frequency&#46;</p>"
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                    0 => array:2 [
                      "titulo" => "Computed tomography-guided transthoracic fine-needle aspiration in diagnosis of lung cancer&#58; a comparison of single-pass needle and multiple-pass coaxial needle systems and the value of immediate cytological assessment"
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                            0 => """
                              CU K&#252;&#231;&#252;k \n
                              \t\t\t\t\t\t\t\t
                              """
                            1 => """
                              A Yilmaz \n
                              \t\t\t\t\t\t\t\t
                              """
                            2 => """
                              A Yilmaz \n
                              \t\t\t\t\t\t\t\t
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                            3 => """
                              E Akkaya \n
                              \t\t\t\t\t\t\t\t
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                      "doi" => "10.1111/j.1440-1843.2004.00607.x"
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                        "tituloSerie" => "Respirology"
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                        "volumen" => "9"
                        "paginaInicial" => "392"
                        "paginaFinal" => "396"
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                    0 => array:2 [
                      "titulo" => "CT-guided percutaneous fine-needle aspiration biopsy of small &#40;&#60; or &#8202;&#61;&#8202;1-cm&#41; pulmonary lesions"
                      "autores" => array:1 [
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                          "autores" => array:6 [
                            0 => """
                              MJ Wallace \n
                              \t\t\t\t\t\t\t\t
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                            1 => """
                              S Krishnamurthy \n
                              \t\t\t\t\t\t\t\t
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                            2 => """
                              LD Broemeling \n
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                            3 => """
                              S Gupta \n
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                            4 => """
                              K Ahrar \n
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                            5 => """
                              FA Morello Jr \n
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                      "doi" => "10.1148/radiol.2253011465"
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                        "tituloSerie" => "Radiology"
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                        "volumen" => "225"
                        "paginaInicial" => "823"
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Article information

ISSN: 18075932
Original language: English

DOI:10.1590/S1807-59322010000900006

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