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array:23 [ "pii" => "S2173578615000086" "issn" => "21735786" "doi" => "10.1016/j.acuroe.2015.01.006" "estado" => "S300" "fechaPublicacion" => "2015-03-01" "aid" => "688" "copyright" => "AEU" "copyrightAnyo" => "2014" "documento" => "article" "subdocumento" => "fla" "cita" => "Actas Urol Esp. 2015;39:85-91" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:2 [ "total" => 206 "formatos" => array:3 [ "EPUB" => 9 "HTML" => 162 "PDF" => 35 ] ] "Traduccion" => array:1 [ "es" => array:18 [ "pii" => "S0210480614003064" "issn" => "02104806" "doi" => "10.1016/j.acuro.2014.07.001" "estado" => "S300" "fechaPublicacion" => "2015-03-01" "aid" => "688" "copyright" => "AEU" "documento" => "article" "subdocumento" => "fla" "cita" => "Actas Urol Esp. 2015;39:85-91" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:2 [ "total" => 3385 "formatos" => array:3 [ "EPUB" => 8 "HTML" => 3233 "PDF" => 144 ] ] "es" => array:13 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Artículo original</span>" "titulo" => "La resonancia magnética multiparamétrica predice la presencia de cáncer de próstata en pacientes con biopsia prostática negativa" "tienePdf" => "es" "tieneTextoCompleto" => "es" "tieneResumen" => array:2 [ 0 => "es" 1 => "en" ] "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "85" "paginaFinal" => "91" ] ] "titulosAlternativos" => array:1 [ "en" => array:1 [ "titulo" => "Multiparametric magnetic resonance imaging predicts the presence of prostate cancer in patients with negative prostate biopsy" ] ] "contieneResumen" => array:2 [ "es" => true "en" => true ] "contieneTextoCompleto" => array:1 [ "es" => true ] "contienePdf" => array:1 [ "es" => true ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0005" "etiqueta" => "Figura 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 591 "Ancho" => 1800 "Tamanyo" => 128059 ] ] "descripcion" => array:1 [ "es" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Estudio multiparamétrico mediante resonancia nuclear magnética de la próstata con evaluación simultánea de T2-w (A), DW (B) y DCE (C).</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "F. 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Mateo, A. García-Tello, F. Ramón de Fata, I. Romero, C. Núñez-Mora, J.C. Angulo" "autores" => array:6 [ 0 => array:2 [ "nombre" => "E." "apellidos" => "Mateo" ] 1 => array:2 [ "nombre" => "A." "apellidos" => "García-Tello" ] 2 => array:2 [ "nombre" => "F." "apellidos" => "Ramón de Fata" ] 3 => array:2 [ "nombre" => "I." "apellidos" => "Romero" ] 4 => array:2 [ "nombre" => "C." "apellidos" => "Núñez-Mora" ] 5 => array:2 [ "nombre" => "J.C." "apellidos" => "Angulo" ] ] ] ] ] "idiomaDefecto" => "en" "Traduccion" => array:1 [ "es" => array:9 [ "pii" => "S0210480614002629" "doi" => "10.1016/j.acuro.2014.06.001" "estado" => "S300" "subdocumento" => "" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:1 [ "total" => 0 ] "idiomaDefecto" => "es" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S0210480614002629?idApp=UINPBA00004N" ] ] "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2173578615000074?idApp=UINPBA00004N" "url" => "/21735786/0000003900000002/v2_201502240227/S2173578615000074/v2_201502240227/en/main.assets" ] "itemAnterior" => array:18 [ "pii" => "S2173578615000037" "issn" => "21735786" "doi" => "10.1016/j.acuroe.2015.01.002" "estado" => "S300" "fechaPublicacion" => "2015-03-01" "aid" => "664" "copyright" => "AEU" "documento" => "article" "subdocumento" => "fla" "cita" => "Actas Urol Esp. 2015;39:78-84" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:2 [ "total" => 142 "formatos" => array:3 [ "EPUB" => 8 "HTML" => 79 "PDF" => 55 ] ] "en" => array:13 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original article</span>" "titulo" => "Evolution of the patient characteristics of candidates for radical prostatectomy and the results obtained with the technique" "tienePdf" => "en" "tieneTextoCompleto" => "en" "tieneResumen" => array:2 [ 0 => "en" 1 => "es" ] "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "78" "paginaFinal" => "84" ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Evolución de las características del paciente candidato a prostatectomía radical y de los resultados obtenidos con la técnica" ] ] "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" => "Figure 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr2.jpeg" "Alto" => 1582 "Ancho" => 1608 "Tamanyo" => 107224 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">Survival curve for biochemical recurrence depending on the periods.</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "A. Sanchís-Bonet, I. Arribas-Gómez, C. Sánchez-Rodríguez, M. Sánchez-Chapado" "autores" => array:4 [ 0 => array:2 [ "nombre" => "A." "apellidos" => "Sanchís-Bonet" ] 1 => array:2 [ "nombre" => "I." "apellidos" => "Arribas-Gómez" ] 2 => array:2 [ "nombre" => "C." "apellidos" => "Sánchez-Rodríguez" ] 3 => array:2 [ "nombre" => "M." "apellidos" => "Sánchez-Chapado" ] ] ] ] ] "idiomaDefecto" => "en" "Traduccion" => array:1 [ "es" => array:9 [ "pii" => "S0210480614001442" "doi" => "10.1016/j.acuro.2014.03.012" "estado" => "S300" "subdocumento" => "" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:1 [ "total" => 0 ] "idiomaDefecto" => "es" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S0210480614001442?idApp=UINPBA00004N" ] ] "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2173578615000037?idApp=UINPBA00004N" "url" => "/21735786/0000003900000002/v2_201502240227/S2173578615000037/v2_201502240227/en/main.assets" ] "en" => array:21 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original article</span>" "titulo" => "Multiparametric magnetic resonance imaging predicts the presence of prostate cancer in patients with negative prostate biopsy" "tieneTextoCompleto" => true "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "85" "paginaFinal" => "91" ] ] "autores" => array:1 [ 0 => array:4 [ "autoresLista" => "F. Lista, E. Castillo, H. Gimbernat, J.M. Rodríguez-Barbero, J. Panizo, J.C. Angulo" "autores" => array:6 [ 0 => array:4 [ "nombre" => "F." "apellidos" => "Lista" "email" => array:1 [ 0 => "fernandolista@hotmail.com" ] "referencia" => array:3 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] 2 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "cor0005" ] ] ] 1 => array:3 [ "nombre" => "E." "apellidos" => "Castillo" "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">c</span>" "identificador" => "aff0015" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">d</span>" "identificador" => "aff0020" ] ] ] 2 => array:3 [ "nombre" => "H." "apellidos" => "Gimbernat" "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] ] ] 3 => array:3 [ "nombre" => "J.M." "apellidos" => "Rodríguez-Barbero" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">e</span>" "identificador" => "aff0025" ] ] ] 4 => array:3 [ "nombre" => "J." "apellidos" => "Panizo" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">e</span>" "identificador" => "aff0025" ] ] ] 5 => array:3 [ "nombre" => "J.C." "apellidos" => "Angulo" "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] ] ] ] "afiliaciones" => array:5 [ 0 => array:3 [ "entidad" => "Servicio de Urología, Hospital Universitario de Getafe, Getafe, Spain" "etiqueta" => "a" "identificador" => "aff0005" ] 1 => array:3 [ "entidad" => "Departamento Clínico, Facultad de Ciencias Biomédicas, Universidad Europea de Madrid, Laureate International Universities, Spain" "etiqueta" => "b" "identificador" => "aff0010" ] 2 => array:3 [ "entidad" => "Servicio de Radiodiagnóstico, Hospital Universitario de Getafe, Getafe, Spain" "etiqueta" => "c" "identificador" => "aff0015" ] 3 => array:3 [ "entidad" => "Departamento Clínico, Facultad de Ciencias Biomédicas, Universidad Europea de Madrid, Spain" "etiqueta" => "d" "identificador" => "aff0020" ] 4 => array:3 [ "entidad" => "Servicio de Anatomía Patológica, Hospital Universitario de Getafe, Getafe, Madrid, Spain" "etiqueta" => "e" "identificador" => "aff0025" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "⁎" "correspondencia" => "Corresponding author." ] ] ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "La resonancia magnética multiparamétrica predice la presencia de cáncer de próstata en pacientes con biopsia prostática negativa" ] ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0015" "etiqueta" => "Figure 3" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr3.jpeg" "Alto" => 1678 "Ancho" => 1588 "Tamanyo" => 109636 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">ROC curve for the predictive model selected by multivariate analysis. Area under the curve (AUC)<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.84.</p>" ] ] ] "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">Prostate cancer is the second most frequently diagnosed malignancy in men and the sixth leading cause of cancer death worldwide.<a class="elsevierStyleCrossRefs" href="#bib0140"><span class="elsevierStyleSup">1,2</span></a> The confirmation diagnosis is performed by means of the histopathological study, usually by means of transrectal ultrasound-guided prostate biopsy (TRUS) practiced by elevated PSA or before finding DRE suspicious for malignancy. In any case, both the risks and benefits of performing this biopsy must be taken into account, as well as the age and comorbidy of the patient.<a class="elsevierStyleCrossRef" href="#bib0150"><span class="elsevierStyleSup">3</span></a> There is no consensus on the ideal final number of samples to be obtained, but it has been found that obtaining a minimum of 8 prostate cylinders and a maximum of 12 rises up the detection rate of cancer in up to 20–33% of cases.<a class="elsevierStyleCrossRef" href="#bib0155"><span class="elsevierStyleSup">4</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">We also know that TRUS is not infallible and that due to different factors it may fail in the diagnosis of prostate malignancy. One of these factors is the one that refers to the technique of performing the biopsy, which tends to be carried out on the same prostate areas repeatedly, resulting in a detection rate that does not exceed 25%.<a class="elsevierStyleCrossRefs" href="#bib0160"><span class="elsevierStyleSup">5,6</span></a> Another factor involved considers that, according to studies on radical prostatectomy specimens, 25–33% of prostate cancers are distributed along the anterior prostate.<a class="elsevierStyleCrossRef" href="#bib0170"><span class="elsevierStyleSup">7</span></a> This figure rises to 57% when transperineal saturation biopsy guided by grid is used.<a class="elsevierStyleCrossRef" href="#bib0175"><span class="elsevierStyleSup">8</span></a> Moreover, prostate malignancy is often diagnosed in patients with previous negative TRUS and persistence of elevated PSA.<a class="elsevierStyleCrossRef" href="#bib0165"><span class="elsevierStyleSup">6</span></a></p><p id="par0015" class="elsevierStylePara elsevierViewall">There is no doubt that techniques to better detect and characterize prostate tumors are needed. Computed tomography showed unsatisfactory results.<a class="elsevierStyleCrossRef" href="#bib0180"><span class="elsevierStyleSup">9</span></a> The multiparametric study using magnetic resonance imaging (mpMRI) associates turbo spin echo (TSE) with the usual T2-weighted (T2-w) for morphology sequences in a functional study based on diffusion-weighted sequences (DWI) and a postcontrast dynamic perfusion study (DCE).<a class="elsevierStyleCrossRef" href="#bib0185"><span class="elsevierStyleSup">10</span></a> It enables a high rate of detection of clinically significant prostate tumors with volume >0.5<span class="elsevierStyleHsp" style=""></span>mL, even located in the most anterior regions of the prostate gland.<a class="elsevierStyleCrossRef" href="#bib0190"><span class="elsevierStyleSup">11</span></a> It has also obtained promising results for assessing the extraglandular extension and other parameters of tumor extension in patients with prostate cancer.<a class="elsevierStyleCrossRef" href="#bib0185"><span class="elsevierStyleSup">10</span></a></p><p id="par0020" class="elsevierStylePara elsevierViewall">Our work has a two-fold objective. On the one hand, it aims to evaluate the diagnostic accuracy of the multiparametric study to detect prostate cancer in patients who underwent TPB for suspected neoplasia due to elevated PSA, which was negative, and compare it with the accuracy of the findings of the DRE and derivatives of the PSA (PSA velocity, % free/total PSA, and PSA density). Secondly, a univariate and multivariate model is considered to predict in these patients the presence of prostate cancer, given the data on clinical examination, PSA and derivatives, transrectal ultrasonography, and findings in mpMRI.</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Materials and method</span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Patients</span><p id="par0025" class="elsevierStylePara elsevierViewall">We designed a prospective study conducted in 150 patients with suspected prostate cancer due to elevated PSA<span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>4<span class="elsevierStyleHsp" style=""></span>ng/mL who had previously undergone TPB and whose result was negative for malignancy. All patients consented to participate in the study, so 3–6 months after the biopsy they underwent DRE, analysis of PSA and its derivatives, mpMRI, including T2-w, DWI and DCE, as well as transrectal ultrasound with new prostate biopsy taking of, at least, 14 cylinders.</p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Study protocol</span><p id="par0030" class="elsevierStylePara elsevierViewall">At baseline, the DRE was classified as suspicious/not suspicious for cancer. The new PSA determination (total and free) was compared in each patient with the previous value, thus calculating the PSA velocity, and determining in each case the free/total fraction. All patients agreed to perform the multiparametric prostate study through a system of magnetic resonance imaging with a magnetic field strength of 1.5<span class="elsevierStyleHsp" style=""></span>T (Magnetom Avanto; Siemens Healthcare Solutions) and endorectal probe (Medrad) along with a surface pelvic antenna and parallel image acquisition (iPAT factor 2; 200<span class="elsevierStyleHsp" style=""></span>mm FoV). The prostate morphology was obtained by T2-w TSE sequence in 3 parallel and orthogonal planes to the main prostatic axis (TR9/TE/FA: 4000/95/139°, with 3-mm slice thickness and 460<span class="elsevierStyleHsp" style=""></span>×<span class="elsevierStyleHsp" style=""></span>152 matrix). For the diffusion sequence (DWI), an EPI sequence with fat suppression (TR/TE/FA: 3400<span class="elsevierStyleHsp" style=""></span>ms/79<span class="elsevierStyleHsp" style=""></span>ms/90°, 340<span class="elsevierStyleHsp" style=""></span>mm FoV, PAT2, 135<span class="elsevierStyleHsp" style=""></span>×<span class="elsevierStyleHsp" style=""></span>192 matrix, and b factor: 50, 550, 1000) was used. Finally, for dynamic perfusion (DCE), a 3D gradient-echo sequence (VIBE) T1 weighted with parameters (TR/TE/FA: 6.3<span class="elsevierStyleHsp" style=""></span>ms/2.5<span class="elsevierStyleHsp" style=""></span>ms/10°, 430-mm FoV, PAT2, 106<span class="elsevierStyleHsp" style=""></span>×<span class="elsevierStyleHsp" style=""></span>192 matrix) was used.</p><p id="par0035" class="elsevierStylePara elsevierViewall">Subsequently, we conducted a second extended TPB in all cases with periprostatic infiltration of local anesthetic, analyzing the histological outcome blindly to the aforementioned variables. The prostate volume was assessed by transrectal ultrasound performed during TPB, making it possible to calculate the PSA density. In a database, age, PSA value, % free/total PSA, PSA velocity, PSA density, prostate volume, suspicious at touch (yes/no), and suspicious in mpMRI according to gradient 1–5 (1: quite possibly benign, 2: possibly benign, 3: doubtful, 4: possibly malignant, and 5: quite possibly evil), following radiological criteria of the European Society of Urologenital Radiologists, focused on the combination of T2-w, DWI, and DCE.<a class="elsevierStyleCrossRef" href="#bib0195"><span class="elsevierStyleSup">12</span></a> For analysis, studies categorized as 3–5 were considered positive and negative if they were defined as 1–2.</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Statistical method</span><p id="par0040" class="elsevierStylePara elsevierViewall">Descriptive analysis of the series and the variables analyzed was conducted. Study of diagnostic accuracy (sensitivity, specificity, NPV, and PPV) was performed to screen for prostate cancer considering globally the findings of the multiparametric study (positive ‘categories 3–5’ and negative ‘categories 1–2’) and the individual findings in each of the analyzed studies including T2-w, DWI, DCE (‘suspected yes’ positive, and ‘suspected no’ negative), DRE findings (‘suspected yes’ positive, and ‘suspected no’ negative), PSA velocity (≥0.75<span class="elsevierStyleHsp" style=""></span>ng/mL positive and <0.75<span class="elsevierStyleHsp" style=""></span>ng/mL negative),% free/total (≤15% positive and >15% negative), and PSA density (≥0.15<span class="elsevierStyleHsp" style=""></span>ng/mL/cc positive and <0.15 negative). ROC curve analysis and area under the curve (AUC) were performed for each of the variables.</p><p id="par0045" class="elsevierStylePara elsevierViewall">Finally, a predictive model for prostate cancer in these patients was proposed. First, a univariate model in which all variables that discriminate the presence or absence of cancer, defining odds ratio (OR) with 95% confidence interval (CI) for each of them, was established. We identified as variables likely to be predictive those showing a limit of significance <0.1. These variables were included in the multivariate model by stepwise selection of variables. The OR and 95% CI were defined to predict cancer in the second TPB, pointing as independent variables those with <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.05 value.</p></span></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Results</span><p id="par0050" class="elsevierStylePara elsevierViewall">The mean age<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>standard deviation was 66.2<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>5 (51–77) years and the mean PSA 11.3<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>9.6 (0.9–75) ng/mL. The DRE was suspicious for malignancy in 11 (7.3%) cases. The mean prostate volume was 82.2<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>42<span class="elsevierStyleHsp" style=""></span>(20–250) cc by transrectal ultrasound. Nine (6%) cases showed sonographic findings compatible with presence of prostate malignancy in this examination. The findings obtained in the mpMRI were suspicious of malignancy in 10 (6.7%) cases for the sequence T2-w, 76 (50.7%) cases for DW, and 17 (11.3%) for DCE.</p><p id="par0055" class="elsevierStylePara elsevierViewall">The second TPB obtained an average of 17.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>2.7 (14–22) cylinders per case. 14 cylinders were analyzed in 38 (25.3%) patients, 15–16 in 28 (28.7%), 17–18 in 4 (2.7%), and 20 or more cylinders in 80 (53.3%). The histopathological study was positive for adenocarcinoma in 28 (18.7%) patients. In the remaining 122 (81.3%), the histological diagnosis was: inflammation in 38 (31.1%), atrophy in 1 (0.8%), atrophy and inflammation in 36 (29.5%), ASAP or PIN in 9 (7.4%), and unchanged in 38 (31.2%). The Gleason score of the positive biopsies was ≥6 in 15 (53.6%) cases, 7 in 6 (21.4%) cases, and ≥8 in 7 (25%) cases. 20 patients (71.4% of diagnoses of malignancy) subsequently underwent radical prostatectomy, 16 (79%) being a pT2 stage, and 4 (21%) a pT3 stage.</p><p id="par0060" class="elsevierStylePara elsevierViewall">The gradient of results of the multiparametric study in 5 categories is associated (<span class="elsevierStyleItalic">χ</span><span class="elsevierStyleSup">2</span>, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.0085) to likelihood of developing cancer in TPB (<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>). Following the criteria of the European Society of Urogenital Radiology, the mpMRI was considered positive in 102 (68%) patients, if categories 3–5 with a simultaneous evaluation of T2-w, DW, and DCE are grouped (<a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a>). The sensitivity of this test is 92.9%, the specificity 37.7%, the NPV 95.8%, and the PPV 25.5% (<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>). The ABC defining the accuracy of the multiparametric study to predict the presence of cancer was 0.77 mpMRI (<a class="elsevierStyleCrossRef" href="#fig0010">Fig. 2</a>).</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><elsevierMultimedia ident="fig0005"></elsevierMultimedia><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><elsevierMultimedia ident="fig0010"></elsevierMultimedia><p id="par0065" class="elsevierStylePara elsevierViewall">Regularly, the prediction of cancer in the second TPB is usually based on the findings of the DRE and the evolution of the PSA isomorphic compounds. In this series, the DRE was considered positive in 11 (16.5%) patients, the test sensitivity resulting in 3.6% and the specificity 92.6%. The PSAV was considered positive in 100 (35.3%) patients, 82.1% sensitivity and 36.9% specificity; the free/total PSA ratio in 53 (35.3%) patients, 50% sensitivity, and 68% specificity, and PSAD in 62 (41.3%) patients, 53.6% sensitivity, and 61.5% specificity. For these variables, the ABC was significantly lower than that of mpMRI: free/total PSA fraction 0.59; PSAD 0.56; PSAV 0.54, and DRE 0.5.</p><p id="par0070" class="elsevierStylePara elsevierViewall">The findings obtained in each sequence of the MRI were suspicious of malignancy and, therefore, were considered positive in 10 (6.7%) patients for T2-w (3.6% sensitivity and 92.6% specificity), 76 (50.7%) cases for DWI (60.7% sensitivity, and 51.6% specificity), and 17 (11.3%) cases for DCE (17.9% sensitivity, 91% specificity). <a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a> also shows the different NPV and PPV for each test.</p><p id="par0075" class="elsevierStylePara elsevierViewall">The univariate analysis revealed the following as predictors (<span class="elsevierStyleItalic">p</span> value >0.1) of cancer in second biopsy: PSAV (1.04 OR [95% CI, 0.99–1.08]; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.065), free/total PSA (0.37 OR [95% CI, 0.13–1.05]; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.06), transrectal ultrasound prostate volume (each cc) (0.98 OR [95% CI, 0.97–0.99]; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.017), and mpMRI with gradient of 5 values (3–5 <span class="elsevierStyleItalic">vs.</span> 1–2) (7.87 OR [95% CI, 1.78–34.7]; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.006). <a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a> also shows the values for the variables that showed no significance (PSAD, age of patients, and findings in DRE). The multivariate analysis included in the stepwise type selection model the variables revealed in the univariate analysis. Both mpMRI (7.41 OR [95% CI, 1.65–33.28]; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.009) and prostate volume (0.31 OR [95% CI, 0.12–0.78]; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.01) define cancer risk independently (<a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>). Prostate volume is an inverse factor, detecting cancer less likely in prostates with larger volume. The ABC of the proposed predictive model is 0.84 (<a class="elsevierStyleCrossRef" href="#fig0015">Fig. 3</a>). <a class="elsevierStyleCrossRef" href="#fig0020">Fig. 4</a> shows the successive steps by which this model is constructed.</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia><elsevierMultimedia ident="fig0015"></elsevierMultimedia><elsevierMultimedia ident="fig0020"></elsevierMultimedia><p id="par0080" class="elsevierStylePara elsevierViewall">If the sample is stratified in patients with prostates with a volume ≤70 cc and is included in the PSAV model, free/total PSA, and mpMRI, the multiparametric study remains the only independent variable (4.75 OR [95% CI, 1.65–33.28]; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>0.05). In prostates >70<span class="elsevierStyleHsp" style=""></span>cc, it is not possible to establish a predictive model because there are very few patients with positive biopsy for malignancy.</p></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Discussion</span><p id="par0085" class="elsevierStylePara elsevierViewall">In the last 2 decades, the determination of serum PSA has emerged as a fundamental tool of early and opportunistic diagnosis of prostate cancer. As a consequence of the gradual increase in its use, the increased number of patients showing maintained elevated PSA levels with a negative result for malignancy in TPB is noticeable. The usual management strategies of these patients include performing repeated biopsies with taking of 12–20 cylinders, saturation biopsy with sampling of prostate transition zone or even expectant management with periodic estimation of PSA.<a class="elsevierStyleCrossRefs" href="#bib0200"><span class="elsevierStyleSup">13,14</span></a></p><p id="par0090" class="elsevierStylePara elsevierViewall">MRI is presented as the best method for directing biopsies and acting as a target for the detection of significant cancers.<a class="elsevierStyleCrossRef" href="#bib0210"><span class="elsevierStyleSup">15</span></a> In addition, a follow-up through monitoring of PSA or delaying the periods for repeat biopsies involves taking a risk of localized cancer progression. Therefore, having a tool like mpMRI makes it possible to more accurately determine the characteristics of the prostate gland and evaluate suspected prostate malignancy areas, <span class="elsevierStyleItalic">a priori</span> affordable by employing conventional TPB with biopsies directed to these suspicious areas. Thus conceived, the prostate mpMRI could be an essential element as a new strategy for diagnostic management of prostate cancer. One of the difficulties for the routine use of this technology has to do with its rapid development, which brings forth new generations of equipment simultaneously with the publication of results.<a class="elsevierStyleCrossRef" href="#bib0215"><span class="elsevierStyleSup">16</span></a></p><p id="par0095" class="elsevierStylePara elsevierViewall">Our study with mpMRI includes the use of T2-w, DWI, and DCE sequences. The study by spectroscopy (MRS) was excluded following the recommendations and protocols indicated by the European Society of Urological Radiology, which does not include such sequences given the limited conclusive results obtained by this test.<a class="elsevierStyleCrossRefs" href="#bib0195"><span class="elsevierStyleSup">12,17</span></a> On the other hand, it is known that the combination of the T2-w, DWI, and DCE sequences significantly improves the results obtained in the detection of cancer,<a class="elsevierStyleCrossRef" href="#bib0225"><span class="elsevierStyleSup">18</span></a> showing higher sensitivity and specificity than the usual T2-w sequences in isolation.<a class="elsevierStyleCrossRef" href="#bib0185"><span class="elsevierStyleSup">10</span></a></p><p id="par0100" class="elsevierStylePara elsevierViewall">The images obtained by MRI-T2-w sequences provide the best available description of prostatic areas by imaging, allowing for both cancer detection and location and staging.<a class="elsevierStyleCrossRef" href="#bib0230"><span class="elsevierStyleSup">19</span></a> Prostate cancer is typically shown in T2-w sequences as contour foci roughly defined of low signal intensity. Sequences with dynamic contrast perfusion (DCE), employing the administration of gadolinium contrast, allow for excellent assessment of tumor vascularity. DCE sequences in combination with T2-w and DW assess the prostate gland much more accurately than that obtained with each of the sequences in isolation. Probably, the clearest indication of the DCE sequence is its application to assess biochemical relapse after curative treatment.<a class="elsevierStyleCrossRef" href="#bib0235"><span class="elsevierStyleSup">20</span></a></p><p id="par0105" class="elsevierStylePara elsevierViewall">Several studies have shown optimal results for detection of the disease with mpMRI around 59–61%.<a class="elsevierStyleCrossRef" href="#bib0240"><span class="elsevierStyleSup">21</span></a> Lee et al. described a prospective randomized study of 87 patients with rising PSA and previous negative prostate biopsy, identifying in 94.2% of cases mpMRI suspicious lesions, often localized lesions in prostatic areas not accessible to conventional TPB.<a class="elsevierStyleCrossRef" href="#bib0245"><span class="elsevierStyleSup">22</span></a> The use of biopsies directed to those areas that were suspicious for malignancy in mpMRI significantly improves the detection rate of cancer.<a class="elsevierStyleCrossRef" href="#bib0160"><span class="elsevierStyleSup">5</span></a></p><p id="par0110" class="elsevierStylePara elsevierViewall">The results obtained with image fusion techniques using resonance and endorectal ultrasound could be even more promising. In the study by Pinto et al., the TPB with 12 cylinders taken using image fusion achieved a detection rate of low-medium risk of disease of 20.6%, compared with 11% obtained with conventional ultrasound-guided TPB. The difference was even more pronounced in patients with high-risk disease, in which the detection rate increased from 29.9 to 53.8%.<a class="elsevierStyleCrossRef" href="#bib0250"><span class="elsevierStyleSup">23</span></a></p><p id="par0115" class="elsevierStylePara elsevierViewall">In conclusion, the mpMRI prostate study is, in our experience, the best tool for predicting cancer in patients with previous negative prostate biopsy for malignancy and is more reliable in prostates of smaller volume. We are aware that these results must be treated with caution, due to the serious economic implications of their indiscriminate application. On the other hand, we need to improve diagnostic discrimination, but most particularly in clinically significant disease. It is also necessary to conduct multicenter prospective studies to corroborate the data obtained as well as the reproducibility of the technique between professionals from different institutions. However, at present, we can consider that the mpMRI prostate study may become established as a key element in the investigation of patients with suspected prostate cancer and negative transrectal biopsy.</p></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">Funding</span><p id="par0120" class="elsevierStylePara elsevierViewall">This work was funded by a <span class="elsevierStyleGrantSponsor" id="gs1">FIS</span> grant (<span class="elsevierStyleGrantNumber" refid="gs1">PI09/90963</span>).</p></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Conflict of interest</span><p id="par0125" class="elsevierStylePara elsevierViewall">The authors declare that they have no conflict of interest.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:12 [ 0 => array:3 [ "identificador" => "xres437254" "titulo" => "Abstract" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Objective" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Materials and methods" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusions" ] ] ] 1 => array:2 [ "identificador" => "xpalclavsec460435" "titulo" => "Keywords" ] 2 => array:3 [ "identificador" => "xres437253" "titulo" => "Resumen" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0025" "titulo" => "Objetivo" ] 1 => array:2 [ "identificador" => "abst0030" "titulo" => "Material y métodos" ] 2 => array:2 [ "identificador" => "abst0035" "titulo" => "Resultados" ] 3 => array:2 [ "identificador" => "abst0040" "titulo" => "Conclusiones" ] ] ] 3 => array:2 [ "identificador" => "xpalclavsec460434" "titulo" => "Palabras clave" ] 4 => array:2 [ "identificador" => "sec0005" "titulo" => "Introduction" ] 5 => array:3 [ "identificador" => "sec0010" "titulo" => "Materials and method" "secciones" => array:3 [ 0 => array:2 [ "identificador" => "sec0015" "titulo" => "Patients" ] 1 => array:2 [ "identificador" => "sec0020" "titulo" => "Study protocol" ] 2 => array:2 [ "identificador" => "sec0025" "titulo" => "Statistical method" ] ] ] 6 => array:2 [ "identificador" => "sec0030" "titulo" => "Results" ] 7 => array:2 [ "identificador" => "sec0035" "titulo" => "Discussion" ] 8 => array:2 [ "identificador" => "sec0040" "titulo" => "Funding" ] 9 => array:2 [ "identificador" => "sec0045" "titulo" => "Conflict of interest" ] 10 => array:2 [ "identificador" => "xack131322" "titulo" => "Acknowledgements" ] 11 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2014-06-18" "fechaAceptado" => "2014-07-01" "PalabrasClave" => array:2 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec460435" "palabras" => array:5 [ 0 => "Magnetic resonance imaging" 1 => "Prostate" 2 => "Multiparametric study" 3 => "Prostate cancer" 4 => "Second biopsy" ] ] ] "es" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec460434" "palabras" => array:5 [ 0 => "Imagen por resonancia magnética" 1 => "Próstata" 2 => "Estudio multiparamétrico" 3 => "Cáncer de próstata" 4 => "Segunda biopsia" ] ] ] ] "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">To assess the ability of multiparametric prostate magnetic resonance imaging (mpMRI) to detect prostate cancer in patients with prior negative transrectal prostate biopsy (TPB).</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Materials and methods</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">mpMRI (TSE-T2-w, DWI and DCE sequences) was performed on 1.5<span class="elsevierStyleHsp" style=""></span>T (Magnetom Avanto; Siemens Healthcare Solutions) in 150 patients suspicious of prostate cancer and with negative TPB. European Society of Urogenital Radiology (ESUR) criteria were used (score 1: clinically significant disease is highly unlikely to be present; score 2: clinically significant cancer is unlikely to be present; score 3: clinically significant cancer is equivocal; score 4: clinically significant cancer is likely to be present; score 5: clinically significant cancer is highly likely to be present). PSA measurement (total and free), digital rectal examination (DRE), transrectal ultrasound (TRU) and a second TPB (at least 14 cylinders) were performed in all patients. Variables were submitted for independent blind analysis. The accuracy of each test was measured. Stepwise selection model for prediction of prostate cancer in second TPB was developed.</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Results</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">Mean age was 66.2<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>5 years (51–77), mean PSA 11.3<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>9.6<span class="elsevierStyleHsp" style=""></span>ng/mL (0.9–75) and mean prostatic volume 82.2<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>42 (20–250) cc. DRE was suspicious in 11 (7.3%) patients. The mean number of cylinders per patient sampled in second TRB was 17.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>2.7(14–22). Second TRB was positive in 28 patients (18.7%). mpMRI was positive (score 3–5) in 102 (68%), test sensibility was 92.9% and the NPV was 95.8%. The risk of prostate cancer diagnosis in second TPB is modified by: PSA velocity >0.75 (OR 1.04 [0.99–1.08]; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.06), free/total ratio PSA <15% (OR 0.37 [0.13–1.05]; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.06), each cc. of prostate volume (OR 0.98 [0.97–1]; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.017) and mpMRI 3–5 (OR 7.87 [1.78–34.7]; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.006). Multivariate analysis reveals that mpMRI (OR 7.41 [1.65–33.28]; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.009) and prostatic volume (OR 0.31 [0.12–0.78]; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.01) are independent risk predictors of prostate cancer.</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Conclusions</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">According to ESUR guidelines and in patients with prior negative prostate biopsy, mpMRI is a valuable tool for the prediction of prostate cancer in second TPB. Lower the prostate volume, the higher the reliability.</p></span>" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Objective" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Materials and methods" ] 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">Evaluar el papel del estudio multiparamétrico mediante imagen por resonancia magnética (mpMRI) de próstata para detectar cáncer de próstata en pacientes con biopsia prostática transrectal (BPTR) negativa previa.</p></span> <span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Material y métodos</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Se practicó una mpMRI (secuencias TSE-T2-w, DWI y DCE) de la próstata con equipo de 1.5<span class="elsevierStyleHsp" style=""></span>T (Magnetom Avanto; Siemens Healthcare Solutions) a 150 pacientes con sospecha previa de cáncer de próstata y BPTR negativa. Se aplicaron criterios de European Society of Urogenital Radiology (ESUR) (1: muy posiblemente benigno, 2: posiblemente benigno, 3: dudoso, 4: posiblemente maligno, y 5: muy posiblemente maligno). A todos los pacientes se les realizó PSA (total y libre), tacto rectal (TR), ecografía transrectal (ETR) y segunda BPTR de, al menos, 14 cilindros. Las variables fueron analizadas de forma ciega independiente. Se estudió la exactitud de cada prueba y se evaluó un modelo de selección de variables <span class="elsevierStyleItalic">stepwise</span> para predecir cáncer en la segunda BPTR.</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Resultados</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">La edad media<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>desviación estándar fue 66,2<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>5 (51-77) años, el PSA 11,3<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>9,6 (0,9-75) ng/mL y el volumen prostático 82,2<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>42 (20-250) cc. El TR fue sospechoso en 11(7,3%) pacientes. La segunda BPTR muestreó 17,6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>2,7 (14-22) cilindros por caso y resultó positiva en 28 (18,7%) pacientes. La mpMRI se consideró positiva (3-5) en 102 (68%), siendo la sensibilidad de la prueba del 92,9% y el VPN del 95,8%. Modifican riesgo de cáncer en segunda BPTR: velocidad de PSA<span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>0,75 (OR 1,04 [0,99-1,08]); p<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0,06), PSA libre/total < 15% (OR 0,37 [0,13-1,05]; p<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0,06), cada cc de volumen prostático (OR 0,98 [0,97-1]; p<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0,017) y mpMRI 3-5 (OR 7,87 [1,78-34,7]; p<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0,006). El análisis multivariante reveló que mpMRI (OR 7,41 [1,65-33,28]; p<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0,009) y volumen prostático (OR 0,31 [0,12-0,78]; p<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0,01) definen riesgo de cáncer de forma independiente.</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Conclusiones</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">La mpMRI según criterios ESUR es una herramienta de gran valor para predecir la presencia de cáncer en la segunda BPTR en pacientes con biopsia previa negativa y resulta más fiable en próstatas de menor volumen.</p></span>" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0025" "titulo" => "Objetivo" ] 1 => array:2 [ "identificador" => "abst0030" "titulo" => "Material y métodos" ] 2 => array:2 [ "identificador" => "abst0035" "titulo" => "Resultados" ] 3 => array:2 [ "identificador" => "abst0040" "titulo" => "Conclusiones" ] ] ] ] "NotaPie" => array:1 [ 0 => array:2 [ "etiqueta" => "☆" "nota" => "<p class="elsevierStyleNotepara" id="npar0005">Please cite this article as: Lista F, Castillo E, Gimbernat H, Rodríguez-Barbero JM, Panizo J, Angulo JC. La resonancia magnética multiparamétrica predice la presencia de cáncer de próstata en pacientes con biopsia prostática negativa. Actas Urol Esp. 2015;39:85–91.</p>" ] ] "multimedia" => array:7 [ 0 => array:7 [ "identificador" => "fig0005" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 591 "Ancho" => 1800 "Tamanyo" => 146969 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Multiparametric study using magnetic resonance imaging of the prostate with simultaneous evaluation of T2-w (A), DW (B), and DCE (C).</p>" ] ] 1 => array:7 [ "identificador" => "fig0010" "etiqueta" => "Figure 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr2.jpeg" "Alto" => 1678 "Ancho" => 1596 "Tamanyo" => 113323 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">ROC curve for the multiparametric study by prostate resonance. Area under the curve (AUC)<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.77.</p>" ] ] 2 => array:7 [ "identificador" => "fig0015" "etiqueta" => "Figure 3" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr3.jpeg" "Alto" => 1678 "Ancho" => 1588 "Tamanyo" => 109636 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">ROC curve for the predictive model selected by multivariate analysis. Area under the curve (AUC)<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.84.</p>" ] ] 3 => array:7 [ "identificador" => "fig0020" "etiqueta" => "Figure 4" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr4.jpeg" "Alto" => 1608 "Ancho" => 1582 "Tamanyo" => 146499 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">ROC curve composed of the different successive steps by which this model is constructed. Area under the curve (AUC)<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.84.</p>" ] ] 4 => array:7 [ "identificador" => "tbl0005" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:2 [ "leyenda" => "<p id="spar0070" class="elsevierStyleSimplePara elsevierViewall">mpMRI: 1: very possibly benign, 2: posibly benign, 3: doubtful, 4: possibly malignant, and 5: very possibly malignant.</p><p id="spar0075" class="elsevierStyleSimplePara elsevierViewall"><span class="elsevierStyleItalic">χ</span><span class="elsevierStyleSup">2</span>, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.0085.</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">Pathological anatomy \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " colspan="6" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">mpMRI</th></tr><tr title="table-row"><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \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">1 \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">2 \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">3 \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">4 \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">5 \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">Total \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 " align="left" valign="top">Benign \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">19 (100%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">27 (93.1%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">33 (91.7%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">27 (71.1%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">16 (57.1%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">122 (81.3%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Malignant \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0 (0%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2 (6.9%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3 (8.3%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">11 (28.9%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">12 (42.9%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">28 (18.7%) \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab682467.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">Probability of developing cancer in the second TPB (malignant pathology) according to results of the multiparametric study.</p>" ] ] 5 => array:7 [ "identificador" => "tbl0010" "etiqueta" => "Table 2" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:2 [ "leyenda" => "<p id="spar0085" class="elsevierStyleSimplePara elsevierViewall">PSAD: PSA density (≥0.15<span class="elsevierStyleHsp" style=""></span>ng/mL/cc positive and <0.15<span class="elsevierStyleHsp" style=""></span>ng/mL/cc negative); mpMRI: multiparameter study using MRI in gradient of 5 categories (1: very possibly benign, 2: possibly benign, 3: doubtful, 4: possibly malignant, and 5: very possibly malignant; “categories 3–5” positive and “categories 1–2” negative); MRI DCE: study by contrast resonance (‘suspected yes’, positive, and ‘suspected no’ negative); MRI DW: study using diffusion balanced sequence resonance (‘suspected yes’, positive, and ‘suspected no’ negative); MRI T2-w: study by resonance with balanced sequence in T2 (‘suspected yes’, positive, and ‘suspected no’ negative); Free/total PSA:% free PSA over the total (≤15% positive and >15% negative); DRE: digital rectal examination (‘suspected yes’, positive, and ‘suspected no’ negative); PSAV: PSA velocity (≥0.75<span class="elsevierStyleHsp" style=""></span>ng/mL positive and <0.75<span class="elsevierStyleHsp" style=""></span>ng/mL negative).</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">Diagnostic test \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">Ill/positive \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">Ill/negative \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">Healthy/negative \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">Healthy/positive \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">Sensitivity \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">Specificity \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">NPV \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">PPV \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 " align="left" valign="top">DRE \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">26 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">113 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.0714 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.9262 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.8129 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.1818 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">PSAV \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">23 \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">45 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">77 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.8214 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.3689 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.9000 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.2300 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Free/total PSA \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">14 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">14 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">83 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">39 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.5000 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.6803 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.8557 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.2642 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">PSAD \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">15 \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">75 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">47 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.5357 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.6148 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.8523 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.2419 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">MpMRI \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">26 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">46 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">76 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.9286 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.3770 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.9583 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.2549 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">MRI T2-w \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">27 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">113 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.0357 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.9262 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.8071 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.1000 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">MRI DW \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">17 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">11 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">63 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">59 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.6071 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.5164 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.8514 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.2237 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">MRI DCE \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">23 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">111 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">11 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.1786 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.9098 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.8284 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.3125 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab682468.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0080" class="elsevierStyleSimplePara elsevierViewall">Accuracy of different diagnostic tests for the detection of prostate cancer in the second prostate biopsy in patients with previous negative biopsy.</p>" ] ] 6 => array:7 [ "identificador" => "tbl0015" "etiqueta" => "Table 3" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:2 [ "leyenda" => "<p id="spar0095" class="elsevierStyleSimplePara elsevierViewall">mpMRI: multiparameter study using MRI in gradient of 5 categories (1: very possibly benign, 2: possibly benign, 3: doubtful, 4: possibly malignant, and 5: very possibly malignant; “categories 3–5” positive and “categories 1–2” negative).</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 " colspan="4" align="center" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">Univariate study</span></th></tr><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">OR \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">95% CI \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 " align="left" valign="top"><span class="elsevierStyleItalic">Age</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.05 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.97–1.14 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.23 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">Suspicious digital rectal examination</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.04 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.21–5.08 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.97 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">Prostate volume</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.98 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.97–0.99 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.017 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">PSA density</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.74–3.94 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.21 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">% free/total PSA</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.37 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.13–1.05 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.06 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">PSA velocity</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.04 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.99–1.08 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.06 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">mpMRI</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">7.87 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.78–34.7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.006 \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">Multivariate study</span></td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>mpMRI \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">7.41 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.65–33.28 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.009 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Prostate volume \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.31 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.12–0.78 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.01 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab682469.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0090" class="elsevierStyleSimplePara elsevierViewall">Univariate analysis and multivariate predictors of cancer in second biopsy.</p>" ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0005" "bibliografiaReferencia" => array:23 [ 0 => array:3 [ "identificador" => "bib0140" 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To José Domínguez, for his iconographic help.</p>" "vista" => "all" ] ] ] "idiomaDefecto" => "en" "url" => "/21735786/0000003900000002/v2_201502240227/S2173578615000086/v2_201502240227/en/main.assets" "Apartado" => array:4 [ "identificador" => "6274" "tipo" => "SECCION" "en" => array:2 [ "titulo" => "Original articles" "idiomaDefecto" => true ] "idiomaDefecto" => "en" ] "PDF" => "https://static.elsevier.es/multimedia/21735786/0000003900000002/v2_201502240227/S2173578615000086/v2_201502240227/en/main.pdf?idApp=UINPBA00004N&text.app=https://www.elsevier.es/" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2173578615000086?idApp=UINPBA00004N" ]
