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A nomogram to predict the absence of clinically significant prostate cancer in males with negative MRI
Kaneko, Masatomo; Fujihara, Atsuko; Iwata, Tsuyoshi; Ramacciotti, Lorenzo Storino; Palmer, Suzanne L; Oishi, Masakatsu; Aron, Manju; Cacciamani, Giovanni E; Duddalwar, Vinay; Horiguchi, Go; Teramukai, Satoshi; Ukimura, Osamu; Gill, Inderbir S; Abreu, Andre Luis.
Afiliação
  • Kaneko M; USC Institute of Urology and Catherine & Joseph Aresty, Center for Image-Guided Surgery, Focal Therapy, and Artificial Intelligence for Prostate Cancer, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
  • Fujihara A; Department of Urology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
  • Iwata T; USC Institute of Urology and Catherine & Joseph Aresty, Center for Image-Guided Surgery, Focal Therapy, and Artificial Intelligence for Prostate Cancer, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
  • Ramacciotti LS; Department of Urology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
  • Palmer SL; USC Institute of Urology and Catherine & Joseph Aresty, Center for Image-Guided Surgery, Focal Therapy, and Artificial Intelligence for Prostate Cancer, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
  • Oishi M; Department of Urology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
  • Aron M; USC Institute of Urology and Catherine & Joseph Aresty, Center for Image-Guided Surgery, Focal Therapy, and Artificial Intelligence for Prostate Cancer, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
  • Cacciamani GE; Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
  • Duddalwar V; USC Institute of Urology and Catherine & Joseph Aresty, Center for Image-Guided Surgery, Focal Therapy, and Artificial Intelligence for Prostate Cancer, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
  • Horiguchi G; Department of Urology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
  • Teramukai S; USC Institute of Urology and Catherine & Joseph Aresty, Center for Image-Guided Surgery, Focal Therapy, and Artificial Intelligence for Prostate Cancer, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
  • Ukimura O; Department of Pathology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
  • Gill IS; USC Institute of Urology and Catherine & Joseph Aresty, Center for Image-Guided Surgery, Focal Therapy, and Artificial Intelligence for Prostate Cancer, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
  • Abreu AL; Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Int Braz J Urol ; 50(3): 319-334, 2024.
Article em En | MEDLINE | ID: mdl-37450770
ABSTRACT

PURPOSE:

To create a nomogram to predict the absence of clinically significant prostate cancer (CSPCa) in males with non-suspicion multiparametric magnetic resonance imaging (mpMRI) undergoing prostate biopsy (PBx). MATERIALS AND

METHODS:

We identified consecutive patients who underwent 3T mpMRI followed by PBx for suspicion of PCa or surveillance follow-up. All patients had Prostate Imaging Reporting and Data System score 1-2 (negative mpMRI). CSPCa was defined as Grade Group ≥2. Multivariate logistic regression analysis was performed via backward elimination. Discrimination was evaluated with area under the receiver operating characteristic (AUROC). Internal validation with 1,000x bootstrapping for estimating the optimism corrected AUROC.

RESULTS:

Total 327 patients met inclusion criteria. The median (IQR) age and PSA density (PSAD) were 64 years (58-70) and 0.10 ng/mL2 (0.07-0.15), respectively. Biopsy history was as follows 117 (36%) males were PBx-naive, 130 (40%) had previous negative PBx and 80 (24%) had previous positive PBx. The majority were White (65%); 6% of males self-reported Black. Overall, 44 (13%) patients were diagnosed with CSPCa on PBx. Black race, history of previous negative PBx and PSAD ≥0.15ng/mL2 were independent predictors for CSPCa on PBx and were included in the nomogram. The AUROC of the nomogram was 0.78 and the optimism corrected AUROC was 0.75.

CONCLUSIONS:

Our nomogram facilitates evaluating individual probability of CSPCa on PBx in males with PIRADS 1-2 mpMRI and may be used to identify those in whom PBx may be safely avoided. Black males have increased risk of CSPCa on PBx, even in the setting of PIRADS 1-2 mpMRI.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças Ureterais / Doenças da Bexiga Urinária / Laparoscopia / Endometriose Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies Limite: Female / Humans Idioma: En Revista: Int Braz J Urol Assunto da revista: UROLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças Ureterais / Doenças da Bexiga Urinária / Laparoscopia / Endometriose Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies Limite: Female / Humans Idioma: En Revista: Int Braz J Urol Assunto da revista: UROLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos