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Multi-institutional analysis of clinical and imaging risk factors for detecting clinically significant prostate cancer in men with PI-RADS 3 lesions.
Fang, Andrew M; Shumaker, Luke A; Martin, Kimberly D; Jackson, Jamaal C; Fan, Richard E; Khajir, Ghazal; Patel, Hiten D; Soodana-Prakash, Nachiketh; Vourganti, Srinivas; Filson, Christopher P; Sonn, Geoffrey A; Sprenkle, Preston C; Gupta, Gopal N; Punnen, Sanoj; Rais-Bahrami, Soroush.
Afiliación
  • Fang AM; Department of Urology, University of Alabama at Birmingham, Birmingham, Alabama, USA.
  • Shumaker LA; Department of Urology, University of Alabama at Birmingham, Birmingham, Alabama, USA.
  • Martin KD; Department of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama, USA.
  • Jackson JC; Department of Urology, Rush University, Chicago, Illinois, USA.
  • Fan RE; Department of Urology, Stanford University School of Medicine, Stanford, California, USA.
  • Khajir G; Department of Urology, Yale School of Medicine, New Haven, Connecticut, USA.
  • Patel HD; Department of Urology, Loyola University Medical Center, Maywood, Illinois, USA.
  • Soodana-Prakash N; Department of Urology, University of Miami Miller School of Medicine, Miami, Florida, USA.
  • Vourganti S; Department of Urology, Rush University, Chicago, Illinois, USA.
  • Filson CP; Department of Urology, Emory University, Atlanta, Georgia, USA.
  • Sonn GA; Winship Cancer Institute, Emory Healthcare, Atlanta, Georgia, USA.
  • Sprenkle PC; Department of Urology, Stanford University School of Medicine, Stanford, California, USA.
  • Gupta GN; Department of Urology, Yale School of Medicine, New Haven, Connecticut, USA.
  • Punnen S; Department of Urology, Loyola University Medical Center, Maywood, Illinois, USA.
  • Rais-Bahrami S; Department of Radiology, Loyola University Medical Center, Maywood, Illinois, USA.
Cancer ; 128(18): 3287-3296, 2022 09 15.
Article en En | MEDLINE | ID: mdl-35819253
BACKGROUND: Most Prostate Imaging-Reporting and Data System (PI-RADS) 3 lesions do not contain clinically significant prostate cancer (CSPCa; grade group ≥2). This study was aimed at identifying clinical and magnetic resonance imaging (MRI)-derived risk fac- tors that predict CSPCa in men with PI-RADS 3 lesions. METHODS: This study analyzed the detection of CSPCa in men who underwent MRI-targeted biopsy for PI-RADS 3 lesions. Multivariable logistic regression models with goodness-of-fit testing were used to identify variables associated with CSPCa. Receiver operating curves and decision curve analyses were used to estimate the clinical utility of a predictive model. RESULTS: Of the 1784 men reviewed, 1537 were included in the training cohort, and 247 were included in the validation cohort. The 309 men with CSPCa (17.3%) were older, had a higher prostate-specific antigen (PSA) density, and had a greater likelihood of an anteriorly located lesion than men without CSPCa (p < .01). Multivariable analysis revealed that PSA density (odds ratio [OR], 1.36; 95% confidence interval [CI], 1.05-1.85; p < .01), age (OR, 1.05; 95% CI, 1.02-1.07; p < .01), and a biopsy-naive status (OR, 1.83; 95% CI, 1.38-2.44) were independently associated with CSPCa. A prior negative biopsy was negatively associated (OR, 0.35; 95% CI, 0.24-0.50; p < .01). The application of the model to the validation cohort resulted in an area under the curve of 0.78. A predicted risk threshold of 12% could have prevented 25% of biopsies while detecting almost 95% of CSPCas with a sensitivity of 94% and a specificity of 34%. CONCLUSIONS: For PI-RADS 3 lesions, an elevated PSA density, older age, and a biopsy-naive status were associated with CSPCa, whereas a prior negative biopsy was negatively associated. A predictive model could prevent PI-RADS 3 biopsies while missing few CSPCas. LAY SUMMARY: Among men with an equivocal lesion (Prostate Imaging-Reporting and Data System 3) on multiparametric magnetic resonance imaging (mpMRI), those who are older, those who have a higher prostate-specific antigen density, and those who have never had a biopsy before are at higher risk for having clinically significant prostate cancer (CSPCa) on subsequent biopsy. However, men with at least one negative biopsy have a lower risk of CSPCa. A new predictive model can greatly reduce the need to biopsy equivocal lesions noted on mpMRI while missing only a few cases of CSPCa.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Próstata Tipo de estudio: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans / Male Idioma: En Revista: Cancer Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Próstata Tipo de estudio: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans / Male Idioma: En Revista: Cancer Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos