array:23 [ "pii" => "S2253654X1500116X" "issn" => "2253654X" "doi" => "10.1016/j.remn.2015.08.004" "estado" => "S300" "fechaPublicacion" => "2016-05-01" "aid" => "729" "copyright" => "Elsevier España, S.L.U. and SEMNIM" "copyrightAnyo" => "2015" "documento" => "article" "crossmark" => 1 "subdocumento" => "fla" "cita" => "Rev Esp Med Nucl Imagen Mol. 2016;35:159-64" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:2 [ "total" => 307 "formatos" => array:3 [ "EPUB" => 15 "HTML" => 205 "PDF" => 87 ] ] "itemSiguiente" => array:18 [ "pii" => "S2253654X15001444" "issn" => "2253654X" "doi" => "10.1016/j.remn.2015.10.003" "estado" => "S300" "fechaPublicacion" => "2016-05-01" "aid" => "753" "copyright" => "Elsevier España, S.L.U. and SEMNIM" "documento" => "article" "crossmark" => 1 "subdocumento" => "fla" "cita" => "Rev Esp Med Nucl Imagen Mol. 2016;35:165-70" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:2 [ "total" => 502 "formatos" => array:3 [ "EPUB" => 6 "HTML" => 401 "PDF" => 95 ] ] "en" => array:13 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original article</span>" "titulo" => "The utility of <span class="elsevierStyleSup">18</span>F-FDG PET/CT in solitary fibrous tumors of the pleura" "tienePdf" => "en" "tieneTextoCompleto" => "en" "tieneResumen" => array:2 [ 0 => "en" 1 => "es" ] "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "165" "paginaFinal" => "170" ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Utilidad de la <span class="elsevierStyleSup">18</span>F-FDG PET/TC en tumores fibrosos solitarios de la pleura" ] ] "contieneResumen" => array:2 [ "en" => true "es" => true ] "contieneTextoCompleto" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0005" "etiqueta" => "Fig. 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 811 "Ancho" => 1794 "Tamanyo" => 129951 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Axial CT (A) axial PET (B), axial fused PET/CT (C) scan of left sided benign solitary fibrous tumor of pleura. A large homogenous soft tissue mass in the left hemithorax (arrows). PET/CT images showed mild uptake in the left hemithorax (SUV<span class="elsevierStyleInf">max</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>3.7).</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Z. Tazeler, G. Tan, A. Aslan, S. Tan" "autores" => array:4 [ 0 => array:2 [ "nombre" => "Z." "apellidos" => "Tazeler" ] 1 => array:2 [ "nombre" => "G." "apellidos" => "Tan" ] 2 => array:2 [ "nombre" => "A." "apellidos" => "Aslan" ] 3 => array:2 [ "nombre" => "S." "apellidos" => "Tan" ] ] ] ] ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2253654X15001444?idApp=UINPBA00004N" "url" => "/2253654X/0000003500000003/v1_201604160020/S2253654X15001444/v1_201604160020/en/main.assets" ] "itemAnterior" => array:18 [ "pii" => "S2253654X15001134" "issn" => "2253654X" "doi" => "10.1016/j.remn.2015.08.001" "estado" => "S300" "fechaPublicacion" => "2016-05-01" "aid" => "726" "copyright" => "Elsevier España, S.L.U. and SEMNIM" "documento" => "article" "crossmark" => 1 "subdocumento" => "fla" "cita" => "Rev Esp Med Nucl Imagen Mol. 2016;35:152-8" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:2 [ "total" => 128 "formatos" => array:3 [ "EPUB" => 6 "HTML" => 95 "PDF" => 27 ] ] "en" => array:13 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original article</span>" "titulo" => "Glycolytic activity in breast cancer using <span class="elsevierStyleSup">18</span>F-FDG PET/CT as prognostic predictor: A molecular phenotype approach" "tienePdf" => "en" "tieneTextoCompleto" => "en" "tieneResumen" => array:2 [ 0 => "en" 1 => "es" ] "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "152" "paginaFinal" => "158" ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Actividad glicolítica en el cancer de mama mediante <span class="elsevierStyleSup">18</span>F-FDG PET/TC como predictor pronóstico: aproximación del fenotipo molecular" ] ] "contieneResumen" => array:2 [ "en" => true "es" => true ] "contieneTextoCompleto" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0010" "etiqueta" => "Fig. 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr2.jpeg" "Alto" => 1050 "Ancho" => 1500 "Tamanyo" => 142481 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0080" class="elsevierStyleSimplePara elsevierViewall">Patient with a HER2(+) tumor. PET detected axillary and mediastinal hipermetabolic lymph nodes (metabolic stage IV). The SUVmax in breast lesion was of 5.1. Patient underwent NAC treatment and surgery with posterior recurrence and death. OS of 16 months and DFS of 11 months.</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "A.M. Garcia Vicente, A. Soriano Castrejón, M. Amo-Salas, J.F. Lopez Fidalgo, M.M. Muñoz Sanchez, R. Alvarez Cabellos, R. Espinosa Aunion, V. Muñoz Madero" "autores" => array:8 [ 0 => array:2 [ "nombre" => "A.M." "apellidos" => "Garcia Vicente" ] 1 => array:2 [ "nombre" => "A." "apellidos" => "Soriano Castrejón" ] 2 => array:2 [ "nombre" => "M." "apellidos" => "Amo-Salas" ] 3 => array:2 [ "nombre" => "J.F." "apellidos" => "Lopez Fidalgo" ] 4 => array:2 [ "nombre" => "M.M." "apellidos" => "Muñoz Sanchez" ] 5 => array:2 [ "nombre" => "R." "apellidos" => "Alvarez Cabellos" ] 6 => array:2 [ "nombre" => "R." "apellidos" => "Espinosa Aunion" ] 7 => array:2 [ "nombre" => "V." "apellidos" => "Muñoz Madero" ] ] ] ] ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2253654X15001134?idApp=UINPBA00004N" "url" => "/2253654X/0000003500000003/v1_201604160020/S2253654X15001134/v1_201604160020/en/main.assets" ] "en" => array:19 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original article</span>" "titulo" => "Ratio between maximum standardized uptake value of N1 lymph nodes and tumor predicts N2 disease in patients with non-small cell lung cancer in <span class="elsevierStyleSup">18</span>F-FDG PET-CT scan" "tieneTextoCompleto" => true "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "159" "paginaFinal" => "164" ] ] "autores" => array:1 [ 0 => array:4 [ "autoresLista" => "A.F. Honguero Martínez, M.D. García Jiménez, A. García Vicente, J. López-Torres Hidalgo, M.J. Colon, O. van Gómez López, Á.M. Soriano Castrejón, P. León Atance" "autores" => array:8 [ 0 => array:4 [ "nombre" => "A.F. Honguero" "apellidos" => "Martínez" "email" => array:1 [ 0 => "tonyhonguero@yahoo.es" ] "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "cor0005" ] ] ] 1 => array:3 [ "nombre" => "M.D. García" "apellidos" => "Jiménez" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 2 => array:3 [ "nombre" => "A. García" "apellidos" => "Vicente" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] ] ] 3 => array:3 [ "nombre" => "J. López-Torres" "apellidos" => "Hidalgo" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">c</span>" "identificador" => "aff0015" ] ] ] 4 => array:3 [ "nombre" => "M.J." "apellidos" => "Colon" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">d</span>" "identificador" => "aff0020" ] ] ] 5 => array:3 [ "nombre" => "O." "apellidos" => "van Gómez López" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] ] ] 6 => array:3 [ "nombre" => "Á.M. Soriano" "apellidos" => "Castrejón" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] ] ] 7 => array:3 [ "nombre" => "P. León" "apellidos" => "Atance" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] ] "afiliaciones" => array:4 [ 0 => array:3 [ "entidad" => "Thoracic Surgery Department, University General Hospital of Albacete, Spain" "etiqueta" => "a" "identificador" => "aff0005" ] 1 => array:3 [ "entidad" => "Nuclear Medicine Department, University General Hospital of Ciudad Real, Spain" "etiqueta" => "b" "identificador" => "aff0010" ] 2 => array:3 [ "entidad" => "Zone IV Health Center, Albacete, Spain" "etiqueta" => "c" "identificador" => "aff0015" ] 3 => array:3 [ "entidad" => "Cardiothoracic Surgery Department, Mount Sinai Hospital, New York USA" "etiqueta" => "d" "identificador" => "aff0020" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "⁎" "correspondencia" => "Corresponding author." ] ] ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "La relación entre el SUV (standardized uptake value) de los ganglios linfáticos N1 y el tumor predice la enfermedad N2 en pacientes con cáncer de pulmón no célula pequeña mediante PET-TC <span class="elsevierStyleSup">18</span>F-FDG" ] ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0010" "etiqueta" => "Fig. 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr2.jpeg" "Alto" => 1421 "Ancho" => 1583 "Tamanyo" => 57988 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">Box plot showing SUVmax N1/T in N0–N1 lymph nodes and mediastinal N2 disease after surgical resection. Differences with statistical significance (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.029).</p>" ] ] ] "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">Lung cancer is one of the most frequent solid tumors in developed countries with an estimated annual incidence over 220,000 cases in the USA population.<a class="elsevierStyleCrossRef" href="#bib0095"><span class="elsevierStyleSup">1</span></a> In the last years, integrated PET-CT scan is routinely used in the work-up of lung cancer. This tool offers a higher global sensitivity, specificity and accuracy than isolated PET or CT-scan.<a class="elsevierStyleCrossRef" href="#bib0100"><span class="elsevierStyleSup">2</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">Maximum standardized uptake value (SUVmax) on PET-CT scan provides information about metabolic activity of primary lung cancer and it is useful in mediastinal stadification. Malignant lymphatic nodes show an increased uptake of 18-fluoro-2-deoxy-d-glucose (<span class="elsevierStyleSup">18</span>F-FDG) in respect to normal surrounding tissue, and its quantification value is helpful to determine their possible involvement.<a class="elsevierStyleCrossRef" href="#bib0105"><span class="elsevierStyleSup">3</span></a> Histological examination of lymph nodes is needed to confirm malignancy. N2 disease in non-small cell lung cancer (NSCLC) is important due to implications on survival, prognosis, and treatment strategy.<a class="elsevierStyleCrossRef" href="#bib0110"><span class="elsevierStyleSup">4</span></a> European Society of Thoracic Surgery (ESTS) guidelines about preoperative mediastinal stadification are defined when mediastinal N2 disease is suspected.<a class="elsevierStyleCrossRef" href="#bib0115"><span class="elsevierStyleSup">5</span></a> Nevertheless, when N1 disease is present at PET-CT scan, preoperative biopsy of such nodes is not always easy, and there are no well-defined treatment strategies. In these situations, it is common to accept surgical resection as first line treatment, if distant metastases are ruled out and patient's cardiopulmonary function is adequate.</p><p id="par0015" class="elsevierStylePara elsevierViewall">The objectives of this study were to evaluate lymph node involvement in patients operated on NSCLC with integrated PET-CT scan showing uptake of both primary lung cancer and N1 disease, and to analyze SUVmax values of the PET-CT scan in order to find any factor that could help predict mediastinal lymph node involvement in these type of patients.</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Material and method</span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Patients</span><p id="par0020" class="elsevierStylePara elsevierViewall">This is a retrospective study from a prospective database of patients operated on from January 2007 to December 2013, at the Thoracic Surgery Department in the University General Hospital of Albacete (Spain). Patients with both primary pulmonary tumor and N1 uptake at integrated PET-CT scan were included. PET-CT scan N1 was considered positive when its uptake value was higher than that of mediastinal reference pool.</p><p id="par0025" class="elsevierStylePara elsevierViewall">In the preoperative work-up, the following studies were performed: routine blood analysis, ECG, spirometry with DLCO diffusion test, thoracic and upper abdominal CT scan, and integrated PET-CT scan.</p><p id="par0030" class="elsevierStylePara elsevierViewall">Criteria for exclusion were neoadjuvant therapy, prior lung cancer history, previous thoracic surgery, and small cell lung cancer (SCLC) patients.</p><p id="par0035" class="elsevierStylePara elsevierViewall">N1 was considered according to the international classification mediastinal map: intralobar, interlobar or hilar lymph nodes. Patients with positive nodes above the main bronchus located medial to the superior lobar bronchus branch were considered excluded from this study to avoid confusion with N2 disease by proximity.</p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">PET-CT scan</span><p id="par0040" class="elsevierStylePara elsevierViewall">Integrated PET-CT scanner (Discovery STE 16, GE Health Care) using <span class="elsevierStyleSup">18</span>F-FDG was used and performed in the same center (Nuclear Medicine Department, University General Hospital of Ciudad Real, Spain). Before PET acquisition, helical CT was performed from top head to proximal thighs for attenuation correction and acquisition parameters were set at 120<span class="elsevierStyleHsp" style=""></span>kV and modulated at 80<span class="elsevierStyleHsp" style=""></span>mA. Neither oral nor intravenous contrast agents were administered. Emission scans from head to proximal thigh were acquired at 60–90<span class="elsevierStyleHsp" style=""></span>minutes after FDG administration. Images were acquired in three dimensional mode, 3<span class="elsevierStyleHsp" style=""></span>minutes per table position. PET images were reconstructed using CT for attenuation correction with ordered-subset expectation maximization iterative reconstruction algorithm supplied by scanner manufacturer. PET and CT slice thicknesses were 3.8<span class="elsevierStyleHsp" style=""></span>mm.</p><p id="par0045" class="elsevierStylePara elsevierViewall">Image assessment and interpretation was performed independently by two nuclear medicine physicians in consensus. They were blinded to the results of other imaging studies.</p><p id="par0050" class="elsevierStylePara elsevierViewall">For the visual assessment, an increased uptake of FDG with an intensity higher than the surrounding tissues and not explained by physiological processes was considered positive for tumor.</p><p id="par0055" class="elsevierStylePara elsevierViewall">Volumes of interest (VOIs) were placed manually over the most intense area on primary lung tumor (T) and N1 lymph nodes (N1) on attenuation-corrected images. Analysis was based on measuring the maximum FDG uptake in both locations, the standardized uptake value (SUVmax). The SUVmax within the VOIs was obtained and calculated as follows: SUVmax<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>maximum activity concentration in VOI(MBq/g)/[injected dose (MBq)/body weight (g)]. Furthermore, the SUVmax N1/T ratio was established (SUVmax N1/SUVmax T).</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Surgery</span><p id="par0060" class="elsevierStylePara elsevierViewall">All patients underwent thoracotomy to perform lung resection followed by systematic mediastinal lymphadenectomy, according to ESTS guidelines.<a class="elsevierStyleCrossRef" href="#bib0120"><span class="elsevierStyleSup">6</span></a> Patients were operated on by same surgical team (Thoracic Surgery Department, University General Hospital of Albacete, Spain). In the right side, paratracheal, subcarinal, paraesophageal, pulmonary ligament, hilar, and interlobar nodes were explored and excised. In the left side, aortopulmonary window, prevascular, subcarinal, paraesophageal, pulmonary ligament, hilar, and interlobar nodes were explored and excised. Nevertheless, left paratracheal region was only explored at surgeon's discretion. All resected specimens were examined by an experienced pulmonary pathologist using standard techniques and immunohistochemistry.</p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Statistical analysis</span><p id="par0065" class="elsevierStylePara elsevierViewall">Software package SPSS v.15.0 (SPSS Inc., Chicago, IL) was used to do statistical analysis. Patients’ demographic characteristics, and anatomopathological results of lymph nodes were analyzed. Chi-square test was used for qualitative variables and <span class="elsevierStyleItalic">t</span>-Student's test for quantitative variables. SUVmax N1/T ratio was analyzed to search for correlation with mediastinal lymph nodes involvement. Receiving operating characteristics (ROC) curve test was used to determine the best cut-off point to predict N2 disease.</p><p id="par0070" class="elsevierStylePara elsevierViewall">All comparisons were two-sided, and significance level was set at <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.05. All values in the text and tables are expressed as mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>standard deviation.</p></span></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Results</span><p id="par0075" class="elsevierStylePara elsevierViewall">From January 2007 to December 2013 a total of 603 patients underwent pulmonary resection for NSCLC. There were 51 patients (44 men and 7 women) with NSCLC after surgical resection and PET-CT scan positive on both primary lung tumor and N1 lymph node. Median patients’ age was 64.1 (range 42–82). Lobectomy was the most common procedure and no postoperative death occurred. <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a> shows main patients demographics.</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0080" class="elsevierStylePara elsevierViewall">After pathologic examination, N0 was proven in 21(41.2%) cases, N1 disease in 12 (23.5%) cases, and N2 disease in 18 (35.3%) cases (<a class="elsevierStyleCrossRef" href="#tbl0015">Table 2</a>). When comparing lymph nodes SUVmax among different anatomopathological subgroups, statistically significant differences were found between N0 vs N1, and N0 vs N1<span class="elsevierStyleHsp" style=""></span>+<span class="elsevierStyleHsp" style=""></span>N2. However there were no statistically significant differences between N0 vs N2 subgroups (<a class="elsevierStyleCrossRef" href="#tbl0015">Table 2</a>). ROC curve analysis to obtain the optimal cut-off value of SUVmax N1/T ratio to predict N2 disease was performed, with an area under the curve of 0.79 (<a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a>). At multivariate analysis, we found that a ratio of 0.46 or greater was an independent predictor factor of N2 mediastinal lymph node metastases with a sensitivity and specificity of 77.8% and 69.7%, respectively (<a class="elsevierStyleCrossRefs" href="#tbl0035">Tables 3 and 4</a>).</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia><elsevierMultimedia ident="fig0005"></elsevierMultimedia><elsevierMultimedia ident="tbl0035"></elsevierMultimedia><elsevierMultimedia ident="tbl0055"></elsevierMultimedia><p id="par0085" class="elsevierStylePara elsevierViewall">No differences were observed when comparing nodal N1 SUVmax between patients with mediastinal disease and those without N2 disease (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.389).</p><p id="par0090" class="elsevierStylePara elsevierViewall">The false positive and false negative rate for N2 disease using the SUVmax N1/T ratio was 44% and 15.4%, respectively. And when using a common SUVmax cut-off value of 2.5, false positive and false negative ratio was higher for N2 disease: 58.3% and 20%, respectively. Also establishing the SUVmax cut-off point at the SUVmax mean value of our series, false positive and false negative ratio was higher too for N2 disease: 52.9% and 29.4%, respectively.</p><p id="par0095" class="elsevierStylePara elsevierViewall">Differences between the SUVmax N1/T ratios in patients with N0–N1 lymph nodes and patients with mediastinal N2 disease (N2 plus N1–N2) after surgical resection had statistical significance (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.029, <a class="elsevierStyleCrossRef" href="#fig0010">Fig. 2</a>).</p><elsevierMultimedia ident="fig0010"></elsevierMultimedia></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">Discussion</span><p id="par0100" class="elsevierStylePara elsevierViewall">Long term survival in NSCLC depends on the stage and mediastinal lymph node involvement. This way, new techniques to accurate preoperative stage in NSCLC have been developed in the last years, such as EBUS/EUS and PET-CT scan. Nowadays, integrated PET-CT scan is preferred over a dedicated PET scan, because its fusion imaging advantage facilitates better anatomical location of suspicious lymph nodes. Anatomical pulmonary resection and systematic mediastinal lymphadenectomy are the standard techniques to surgical treatment for NSCLC. In expert hands, morbidity and mortality of mediastinal lymphadenectomy is low.<a class="elsevierStyleCrossRef" href="#bib0125"><span class="elsevierStyleSup">7</span></a> Exceptions to these situations could be those with low PET-CT-uptake small size carcinoma where mediastinal lymphadenectomy can be even questionable.<a class="elsevierStyleCrossRef" href="#bib0130"><span class="elsevierStyleSup">8</span></a> In this study, all patients had suspicious N1 disease on integrated PET-CT scan, and in this situation, probability of locally advanced disease is higher. A valid strategy is to perform lung resection and systematic lymph node dissection on these patients as first line treatment.</p><p id="par0105" class="elsevierStylePara elsevierViewall">False negative and false positive results always exist at evaluation of lymph nodes involvement by PET-CT scan. The main relevant characteristic of PET is its high negative predictive value. In our study N0p (false positive N1 disease showed on PET-CT scan) was due to fibrosis and reactive hyperplasia, as seen in the set of chronic obstructive lung disease, previous pulmonary infections, or inflammation and sequela of tuberculosis or histoplasmosis.<a class="elsevierStyleCrossRefs" href="#bib0105"><span class="elsevierStyleSup">3,9,10</span></a> Tuberculosis is an endemic disease in our environment representing one of the main granulomatous infections, and lymphatic hyperplasia can be found in the context of chronic pulmonary lung disease patients who suffered recurrent pulmonary infections. We found a false positive rate of 51.0%, much lower than that from Lin et al. with a false positive rate of 70%, but similar when they excluded bilateral hilar uptake (53.8%).<a class="elsevierStyleCrossRef" href="#bib0105"><span class="elsevierStyleSup">3</span></a> In our study no patient with bilateral hilar uptake was included. Others authors found a higher false positive rate (86%) using same criteria that we used to consider a lymph node positive if FDG uptake was higher than the surrounding mediastinal tissue.<a class="elsevierStyleCrossRef" href="#bib0140"><span class="elsevierStyleSup">10</span></a></p><p id="par0110" class="elsevierStylePara elsevierViewall">Contrary to results described by Moloney et al.<a class="elsevierStyleCrossRef" href="#bib0145"><span class="elsevierStyleSup">11</span></a> with higher SUV in metastatic lymph nodes than in tumor free-lymph nodes, we did not observe statistically significant differences when analysing SUVmax of N1 nodes between patients with pathological N2 and patients with pathological N0–N1 (non-N2) (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.389). Nevertheless, when attending to the SUVmax N1/T ratio, the difference was statistically significant (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.029). Moreover, comparison of SUVmax among different subgroups according to pathological study of lymph nodes showed statistically significant differences between N0 vs N1, and N0 vs N1<span class="elsevierStyleHsp" style=""></span>+<span class="elsevierStyleHsp" style=""></span>N2, but not between N0 vs N2 subgroups (<a class="elsevierStyleCrossRef" href="#tbl0015">Table 2</a>). This last result can be explained by the reduced number of patients with mediastinal disease without N1 involvement (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>5), what it is known as skip metastases. These five patients had a normal mediastinal nodes size and their mean SUVmax was similar to that of N0 subgroup. Rate of skip metastases is described in the literature up to 16% or higher,<a class="elsevierStyleCrossRef" href="#bib0150"><span class="elsevierStyleSup">12</span></a> in this series was 9.8%.</p><p id="par0115" class="elsevierStylePara elsevierViewall">Using the ROC curve, we calculated the cut-off value of the SUVmax N1/T ratio to get the best sensitivity and specificity (77.8% and 69.7%, respectively). This cut-off was set at 0.46. Koksal et al. observed a lower sensitivity (63.6%) and a similar specificity (72.4%) using same criteria to define PET-CT positive lymph node, as described previously. However, when these authors used a SUVmax T/N ratio of 5 or lower for malignant lymph nodes, they got a higher sensitivity (92.8%) but much lower specificity (47%).<a class="elsevierStyleCrossRef" href="#bib0140"><span class="elsevierStyleSup">10</span></a></p><p id="par0120" class="elsevierStylePara elsevierViewall">It is known that there are several variations to calculate SUVmax values, because not all PET-CT scans are the same, which could represent bias.<a class="elsevierStyleCrossRef" href="#bib0155"><span class="elsevierStyleSup">13</span></a> Nevertheless, the SUVmax N1/T ratio can eliminate this variation by getting a relative measurement from each machine, which could attenuate the bias and help standardize results.<a class="elsevierStyleCrossRef" href="#bib0160"><span class="elsevierStyleSup">14</span></a> Different ideas have been described to evaluate the risk of mediastinal nodal metastases based on strategies other than SUVmax, such as volume of primary lung tumor, although this procedure implies an accessory radiotherapy treatment planning system besides PET-CT scan results.<a class="elsevierStyleCrossRef" href="#bib0165"><span class="elsevierStyleSup">15</span></a> Some authors focused on Node/Aorta and Node/Liver SUV ratios to predict N2 disease.<a class="elsevierStyleCrossRef" href="#bib0170"><span class="elsevierStyleSup">16</span></a> There have been different groups trying to establish a relationship between PET-CT scan data and N2 disease using patients with mediastinal positive PET-CT scan. Contrary to this study in which only patients with N1 positive PET-CT scans were selected.<a class="elsevierStyleCrossRefs" href="#bib0160"><span class="elsevierStyleSup">14,17</span></a></p><p id="par0125" class="elsevierStylePara elsevierViewall">The N0p subgroup had the lowest SUVmax value, with a mean value of 3.0, that is superior to the cut-off point of 2.5 usually established to be considered as a metabolically high suspicion for malignancy <a class="elsevierStyleCrossRef" href="#bib0180"><span class="elsevierStyleSup">18</span></a>. Nevertheless, the usual cut-off point of 2.5–3.0 is used on pulmonary nodules instead of lymph nodes, since lymph nodes usually have a smaller size than that of pulmonary nodules or pulmonary masses. We observed SUVmax was higher in metastasic lymph nodes than in non-metastatic ones with statistically significant differences (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.015, see <a class="elsevierStyleCrossRef" href="#tbl0015">Table 2</a>). Similar results were published by Koksal et al. but without statistical significance.<a class="elsevierStyleCrossRef" href="#bib0140"><span class="elsevierStyleSup">10</span></a></p><p id="par0130" class="elsevierStylePara elsevierViewall">Related to histology subgroups, we observed a higher incidence of N2 disease in adenocarcinomas (23.5%) than in squamous carcinomas (9.8%), similar to findings published by others groups.<a class="elsevierStyleCrossRefs" href="#bib0150"><span class="elsevierStyleSup">12,15</span></a> Although our results were not statistically significant (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.079), this may be due to the relatively small number of patients. Regarding tumoral location, incidence of N2 disease was higher among peripheral located tumors than central ones, but without statistically significant differences (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.151). This may be explained by the fact that adenocarcinomas have more peripheral distribution than squamous carcinomas. The SUVmax N1/T ratio showed in our study a better false negative and false positive ratios for N2 disease compared to those using other standard parameters, such as the usual stablished SUVmax cut-off point of 2.5 or using the mean SUVmax of our series. The ratio we proposed for positive N1 PET-CT scans adds more relevant information than that from the very simple results obtained from an integrated PET-CT scan. According to ESTS guidelines, when N1 disease is suspected, mediastinal N2 disease should be ruled out. But in 64.7% of the patients in our series (N0 and N1 cases) the use of mediastinal biopsy (mediastinoscopy or EBUS) would have been unnecessary (no N2-disease). This way, we think the SUVmax N1/T ratio could be used to select patients for preoperative mediastinal biopsy to rule out N2 disease.</p><p id="par0135" class="elsevierStylePara elsevierViewall">Limitations of this study include its retrospective design, single institution, and relatively small number of patients. However, we can point out the following: standardized PET-CT scan protocols were performed in same center, systematic mediastinal lymphadenectomy undergone in all patients by same surgical team, and pathological specimen evaluation by same dedicated pathologist. After uni- and multivariate analysis, only the SUVmax N1/T ratio was an independent predictor of N2 disease. The established cut-off value of this ratio was 0.46, showing a sensitivity and specificity of 77.8% and 69.7%, respectively. More similar multi-center studies should be performed to ensure the validity of our results.</p><p id="par0140" class="elsevierStylePara elsevierViewall">For conclusion, according to our results, when the SUVmax N1/T ratio on integrated PET-CT scan is equal or superior to 0.46, special attention should be focused on the higher probability of N2 disease.</p></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Conflict of interest</span><p id="par0145" class="elsevierStylePara elsevierViewall">The authors declare no conflict of interest.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:10 [ 0 => array:3 [ "identificador" => "xres628522" "titulo" => "Abstract" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Objective" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Material and method" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusions" ] ] ] 1 => array:2 [ "identificador" => "xpalclavsec641570" "titulo" => "Keywords" ] 2 => array:3 [ "identificador" => "xres628521" "titulo" => "Resumen" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0025" "titulo" => "Objetivo" ] 1 => array:2 [ "identificador" => "abst0030" "titulo" => "Material y método" ] 2 => array:2 [ "identificador" => "abst0035" "titulo" => "Resultados" ] 3 => array:2 [ "identificador" => "abst0040" "titulo" => "Conclusiones" ] ] ] 3 => array:2 [ "identificador" => "xpalclavsec641571" "titulo" => "Palabras clave" ] 4 => array:2 [ "identificador" => "sec0005" "titulo" => "Introduction" ] 5 => array:3 [ "identificador" => "sec0010" "titulo" => "Material and method" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "sec0015" "titulo" => "Patients" ] 1 => array:2 [ "identificador" => "sec0020" "titulo" => "PET-CT scan" ] 2 => array:2 [ "identificador" => "sec0025" "titulo" => "Surgery" ] 3 => array:2 [ "identificador" => "sec0030" "titulo" => "Statistical analysis" ] ] ] 6 => array:2 [ "identificador" => "sec0035" "titulo" => "Results" ] 7 => array:2 [ "identificador" => "sec0040" "titulo" => "Discussion" ] 8 => array:2 [ "identificador" => "sec0045" "titulo" => "Conflict of interest" ] 9 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2015-07-09" "fechaAceptado" => "2015-08-30" "PalabrasClave" => array:2 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec641570" "palabras" => array:5 [ 0 => "Non-small cell lung cancer" 1 => "N1 disease" 2 => "Surgery" 3 => "PET-CT scan" 4 => "SUVmax" ] ] ] "es" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec641571" "palabras" => array:5 [ 0 => "Cáncer de pulmón no célula pequeña" 1 => "Enfermedad N1" 2 => "Cirugía" 3 => "PET-TC" 4 => "SUVmax" ] ] ] ] "tieneResumen" => true "resumen" => array:2 [ "en" => array:3 [ "titulo" => "Abstract" "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Objective</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">F-18 fluorodeoxyglucose integrated PET-CT scan is commonly used in the work-up of lung cancer to improve preoperative disease stage. The aim of the study was to analyze the ratio between SUVmax of N1 lymph nodes and primary lung cancer to establish prediction of mediastinal disease (N2) in patients operated on non-small cell lung cancer.</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Material and method</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">This is a retrospective study of a prospective database. Patients operated on non-small cell lung cancer (NSCLC) with N1 disease by PET-CT scan were included. None of them had previous induction treatment, but they underwent standard surgical resection plus systematic lymphadenectomy.</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Results</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">There were 51 patients with FDG-PET-CT scan N1 disease. 44 (86.3%) patients were male with a mean age of 64.1<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>10.8 years. Type of resection: pneumonectomy<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>4 (7.9%), lobectomy/bilobectomy<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>44 (86.2%), segmentectomy<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>3 (5.9%). Histology: adenocarcinoma<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>26 (51.0%), squamous<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>23 (45.1%), adenosquamous<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>2 (3.9%). Lymph nodes after surgical resection: N0<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>21 (41.2%), N1<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>12 (23.5%), N2<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>18 (35.3%). Mean ratio of the SUVmax of N1 lymph node to the SUVmax of the primary lung tumor (SUVmax N1/T ratio) was 0.60 (range 0.08–2.80). ROC curve analysis to obtain the optimal cut-off value of SUVmax N1/T ratio to predict N2 disease was performed. At multivariate analysis, we found that a ratio of 0.46 or greater was an independent predictor factor of N2 mediastinal lymph node metastases with a sensitivity and specificity of 77.8% and 69.7%, respectively.</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Conclusions</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">SUVmax N1/T ratio in NSCLC patients correlates with mediastinal lymph node metastasis (N2 disease) after surgical resection. When SUVmax N1/T ratio on integrated PET-CT scan is equal or superior to 0.46, special attention should be paid on higher probability of N2 disease.</p></span>" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Objective" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Material and method" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusions" ] ] ] "es" => array:3 [ "titulo" => "Resumen" "resumen" => "<span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">Objetivo</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">La PET-TC integrada con F-18fluorodeoxiglucosa es utilizada frecuentemente en la estadificación preoperatoria del cáncer de pulmón(CP). El objetivo del estudio fue analizar la relación entre SUVmax de los ganglios linfáticos N1 con el tumor pulmonar para establecer un factor predictivo de enfermedad metastásica ganglionar en el mediastino(N2) en pacientes operados de cáncer de pulmón no microcítico.</p></span> <span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Material y método</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Estudio retrospectivo de una base de datos prospectiva. Se incluyeron pacientes operados de CP con enfermedad N1 por PET-TC. Ninguno tuvo tratamiento previo. Se realizó una resección pulmonar estándar y linfadenectomía.</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Resultados</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">Hubo un total de 51 pacientes con N1 por PET-TC. 44(86,3%) fueron varones, edad media<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>64,1<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>10,8 años. Tipo de resección: neumonectomía<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>4(7,9%), lobectomía/bilobectomía<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>44(86,2%), segmentectomía<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>3(5,9%). Histología: adenocarcinoma<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>26(51,0), epidermoide<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>23(45,1%), adenoescamoso<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>2(3,9%). Ganglios linfáticos tras la resección: N0<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>21(41,2%), N1<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>12(23,5%), N2<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>18(35,3%). La relación media entre el SUVmax de los ganglios N1 con el SUVmax del tumor pulmonar (relación SUVmax N1/T) fue 0,60 (rango 0,08–2,80). El análisis de la curva ROC se realizó para determinar el punto de corte óptimo para predecir N2 (metástasis mediastínica). En el análisis multivariante encontramos que una relación de 0,46 o mayor fue un factor pronóstico independiente para N2, con una sensibilidad y especificidad de 77,8% y 69,7%, respectivamente.</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Conclusiones</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">La relación SUVmax N1/T en pacientes con CP no microcítico se correlaciona con la metástasis ganglionar mediastínica (N2) después de la resección quirúrgica. Cuando la relación SUVmax N1/T en la PET-TC es igual o mayor de 0,46 se debería prestar atención especial por la alta probabilidad de enfermedad mediastínica N2.</p></span>" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0025" "titulo" => "Objetivo" ] 1 => array:2 [ "identificador" => "abst0030" "titulo" => "Material y método" ] 2 => array:2 [ "identificador" => "abst0035" "titulo" => "Resultados" ] 3 => array:2 [ "identificador" => "abst0040" "titulo" => "Conclusiones" ] ] ] ] "multimedia" => array:6 [ 0 => array:7 [ "identificador" => "fig0005" "etiqueta" => "Fig. 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1656 "Ancho" => 1374 "Tamanyo" => 63681 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Receiver operating characteristic curve for N2 disease. Optimal cutoff value of the SUVmaxT/N1 ratio<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.46 (sensitivity 77.8%, specificity 69.7%). Dashed line represents the diagonal reference line. AUC value<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.79. (SUVmax: Maximum standardized uptake value; T, pulmonary tumor; N1, N1 lymph node, AUC: area under the curve).</p>" ] ] 1 => array:7 [ "identificador" => "fig0010" "etiqueta" => "Fig. 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr2.jpeg" "Alto" => 1421 "Ancho" => 1583 "Tamanyo" => 57988 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">Box plot showing SUVmax N1/T in N0–N1 lymph nodes and mediastinal N2 disease after surgical resection. Differences with statistical significance (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.029).</p>" ] ] 2 => array:7 [ "identificador" => "tbl0005" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:2 [ "leyenda" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">(SUVmax T: SUVmax in primary lung tumor. SUVmax N1: SUVmax in N1 lymph nodes).</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "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="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Variable \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Patients (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>51) \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Age (years) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">64.1<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>10.8 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Gender (male:female) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">44(86.3%):7(13.7%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Tobacco history (pack-year) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">45.8<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>30.2 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top"><span class="elsevierStyleItalic">Tumor location</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>RUL \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">9 (17.6%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>ML \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1 (2%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>RLL \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">14 (27.5%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>LUL \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">18 (35.3%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>LLL \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">9 (17.6%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top"><span class="elsevierStyleItalic">Lung function test</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>FEV1(L) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2.3<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.8 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>FEV1(%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">78.7<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>20.1 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>FVC(L) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">3.5<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.0 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>FVC(%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">90.9<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>20.3 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>DLCO(mL CO/min/mm Hg) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">77.2<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>20.3 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top"><span class="elsevierStyleItalic">Primary tumor location</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Central \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">24 (47.1%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Non-central \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">27 (52.9%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top"><span class="elsevierStyleItalic">Operation type</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Lobectomy \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">38 (74.5%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Bilobectomy \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">4 (7.8%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Sleeve lobectomy \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2 (4%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Pneumonectomy \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">4 (7.9%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Sublobar resection \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">3 (5.9%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top"><span class="elsevierStyleItalic">Tumor histology</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Adenocarcinoma \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">26 (51.0%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Squamous cell carcinoma \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">23 (45.1%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Adenosquamous cell carcinoma \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2 (3.9%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top"><span class="elsevierStyleItalic">Pathological stage</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>IA \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">7 (13.7%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>IB \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">10 (19.6%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>IIA \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">11 (21.6%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>IIB \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1 (2.0%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>IIIA \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">17(33.3%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>IIIB \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2 (3.9%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>IV \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">3 (5.9%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top"><span class="elsevierStyleItalic">T descriptor</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>T1a \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">6 (11.8%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>T1b \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">7 (13.7%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>T2a \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">30 (58.8%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>T2b \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1 (2.0%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>T3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">4 (7.8%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>T4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">3 (5.9%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top"><span class="elsevierStyleItalic">Primary tumor location</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Central \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">24 (47.1%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Peripheric \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">27 (52.9%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top"><span class="elsevierStyleItalic">Enlarge N2 on CT scan</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Yes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">16 (31.4%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>No N2p \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">10 (19.6%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>N2p \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">6 (11.8%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>No \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">35 (68.6%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>No N2p \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">23 (45.1%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>N2p \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">12 (23.5%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Specimen tumor size (cm) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">3.5<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.6 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>SUVmax T \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">10.7<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>6.3 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>SUVmax N1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">4.8<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>3.6 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>SUVmax N1/T ratio \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.6 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1031332.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Patients’ characteristics.</p>" ] ] 3 => array:7 [ "identificador" => "tbl0015" "etiqueta" => "Table 2" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:3 [ "leyenda" => "<p id="spar0090" class="elsevierStyleSimplePara elsevierViewall">False positive cases for N1 disease= (21<span class="elsevierStyleHsp" style=""></span>+<span class="elsevierStyleHsp" style=""></span>5)/51= 51.0%.</p><p id="spar0095" class="elsevierStyleSimplePara elsevierViewall">True positive cases for N1 disease<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span> (12<span class="elsevierStyleHsp" style=""></span>+<span class="elsevierStyleHsp" style=""></span>13)/51<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>49%.</p><p id="spar0100" class="elsevierStyleSimplePara elsevierViewall">s.d.: standard deviation.</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "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="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Variable \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Patients (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>51) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">SUV max (mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>s.d.) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Subgroups \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span> Value \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">N0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">21 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3.0<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">N0 vs N1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.011<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">*</span></a> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">N1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">12 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">7.2<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>4.8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">N0 vs N1<span class="elsevierStyleHsp" style=""></span>+<span class="elsevierStyleHsp" style=""></span>N2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.015<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">*</span></a> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">N1<span class="elsevierStyleHsp" style=""></span>+<span class="elsevierStyleHsp" style=""></span>N2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">13 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">6.1<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>3.8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">N0 vs N2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.318 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">N2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3.8<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">N1 vs N1<span class="elsevierStyleHsp" style=""></span>+<span class="elsevierStyleHsp" style=""></span>N2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.507 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">N1 vs N2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.143 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">N2 vs N1<span class="elsevierStyleHsp" style=""></span>+<span class="elsevierStyleHsp" style=""></span>N2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.219 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1031333.png" ] ] ] "notaPie" => array:1 [ 0 => array:3 [ "identificador" => "tblfn0005" "etiqueta" => "*" "nota" => "<p class="elsevierStyleNotepara" id="npar0005"><span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.05.</p>" ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0070" class="elsevierStyleSimplePara elsevierViewall">Pathological analysis of lymph nodes and proportion of true and false positive cases. Comparison of SUVmax among different subgroups.</p>" ] ] 4 => array:7 [ "identificador" => "tbl0035" "etiqueta" => "Table 3" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:3 [ "leyenda" => "<p id="spar0125" class="elsevierStyleSimplePara elsevierViewall">SUVmax: SUVmax in primary lung tumor. SUVmax N1: SUVmax in N1 lymph nodes.</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "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="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Variable \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Pathological N2<br>(<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>18) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Pathological Non-N2 (N0-N1) (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>33) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span> Value \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry " colspan="4" align="left" valign="top"><span class="elsevierStyleItalic">Gender</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Male \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">13 (25.5%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">31 (60.8%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " rowspan="2" align="char" valign="top"><a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">*</span></a>0.047 (0.029–0.978)</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Female \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">5 (9.8%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2 (3.9%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="4" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="4" align="left" valign="top"><span class="elsevierStyleItalic">Tumor location</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Right \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">11 (21.6%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">13 (25.5%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " rowspan="2" align="char" valign="top">0.112 (0.116–1.252)</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Left \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">7 (13.7%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">20 (39.2%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="4" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="4" align="left" valign="top"><span class="elsevierStyleItalic">Tumor histology</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Adenocarcinoma \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">12 (23.5%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">14 (27.5%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " rowspan="3" align="char" valign="top"><a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">*</span></a>0.079 (0.092–1.137)</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Squamous cell ca. \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">5 (9.8%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">18 (35.3%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Adenosquamous cell ca. \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 (1.9%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 (1.9%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="4" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="4" align="left" valign="top"><span class="elsevierStyleItalic">Tumor size (cm)</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>≤3.5<span class="elsevierStyleHsp" style=""></span>cm \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">14 (27.5%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">16 (31.4%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " rowspan="2" align="char" valign="top"><a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">*</span></a>0.048 (0.073–0.991)</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>>3.5<span class="elsevierStyleHsp" style=""></span>cm \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">17 (33.3%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4 (7.8%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="4" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="4" align="left" valign="top"><span class="elsevierStyleItalic">Tumor stage</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>T1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4 (7.8%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">9 (17.6%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " rowspan="3" align="char" valign="top">0.814</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>T2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">12 (23.5%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">19 (37.3%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>T3-T4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2 (3.9%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">5 (9.8%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="4" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="4" align="left" valign="top"><span class="elsevierStyleItalic">SUVmax T</span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="4" align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Mean</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>≤10.7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">13 (25.5%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">16 (31.4%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " rowspan="2" align="char" valign="top">0.107 (0.105–1.247)</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>>10.7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">5 (9.8%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">17 (33.3%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="4" align="left" valign="top"><span class="elsevierStyleItalic">SUVmax N1</span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="4" align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Mean</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>≤4.8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">10 (19.6%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">23 (45.1%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " rowspan="2" align="char" valign="top">0.315 (0.560–6.047)</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>>4.8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">8 (15.7%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">10 (19.6%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="4" align="left" valign="top"><span class="elsevierStyleItalic">SUVmax N1/T ratio</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><0.46 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4 (7.8%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">22 (43.1%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " rowspan="2" align="char" valign="top"><a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">*</span></a>0.004 (1.859–26.365)</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>≥0.46 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">14 (27.5%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">11 (21.6%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="4" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="4" align="left" valign="top"><span class="elsevierStyleItalic">Primary tumor location</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Central \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">6 (11.7%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">18 (35.3%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " rowspan="2" align="char" valign="top">0.151 (0.126–1.378)</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Peripheric \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">12 (23.5%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">15 (29.4%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="4" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="4" align="left" valign="top"><span class="elsevierStyleItalic">Enlarge N2 on CT scan</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Yes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">6 (11.7%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">10 (19.6%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " rowspan="2" align="char" valign="top">0.824(0.336–3.932)</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>No \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">12 (23.5%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">23 (45.1%) \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1031331.png" ] ] ] "notaPie" => array:1 [ 0 => array:3 [ "identificador" => "tblfn0010" "etiqueta" => "*" "nota" => "<p class="elsevierStyleNotepara" id="npar0010"><span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.1.</p>" ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0105" class="elsevierStyleSimplePara elsevierViewall">Univariate analysis of factors associated with N2 disease.</p>" ] ] 5 => array:7 [ "identificador" => "tbl0055" "etiqueta" => "Table 4" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:2 [ "leyenda" => "<p id="spar0185" class="elsevierStyleSimplePara elsevierViewall"><span class="elsevierStyleSup">*</span> Statistically significant differences (<span class="elsevierStyleItalic">p</span> < 0.05).</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "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="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Variable \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span> Value (I.C. 95%) \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Gender \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.136 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Histology \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.127 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Tumor size \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.093 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">SUVmax N1/T ratio \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><span class="elsevierStyleSup">*</span>0.003 (2.101–37.778) \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1031334.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0130" class="elsevierStyleSimplePara elsevierViewall">Multivariate analysis of factors associated with N2 disease.</p>" ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0005" "bibliografiaReferencia" => array:18 [ 0 => array:3 [ "identificador" => "bib0095" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Cancer statistics 2014" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:4 [ 0 => "R. 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Original article
Ratio between maximum standardized uptake value of N1 lymph nodes and tumor predicts N2 disease in patients with non-small cell lung cancer in 18F-FDG PET-CT scan
La relación entre el SUV (standardized uptake value) de los ganglios linfáticos N1 y el tumor predice la enfermedad N2 en pacientes con cáncer de pulmón no célula pequeña mediante PET-TC 18F-FDG
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Ratio between maximum standardized uptake value of N1 lymph nodes and tumor predicts N2 disease in patients with non-small cell lung cancer in 18F-FDG PET-CT scan
A.F. Honguero Martínez, M.D. García Jiménez, A. García Vicente, J. López-Torres Hidalgo, M.J. Colon, O. van Gómez López, Á.M. Soriano Castrejón, P. León Atance
10.1016/j.remn.2015.08.004Rev Esp Med Nucl Imagen Mol. 2016;35:159-64