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A Contemporary Prostate Biopsy Risk Calculator Based on Multiple Heterogeneous Cohorts.

Authors :
Ankerst DP
Straubinger J
Selig K
Guerrios L
De Hoedt A
Hernandez J
Liss MA
Leach RJ
Freedland SJ
Kattan MW
Nam R
Haese A
Montorsi F
Boorjian SA
Cooperberg MR
Poyet C
Vertosick E
Vickers AJ
Source :
European urology [Eur Urol] 2018 Aug; Vol. 74 (2), pp. 197-203. Date of Electronic Publication: 2018 May 16.
Publication Year :
2018

Abstract

Background: Prostate cancer prediction tools provide quantitative guidance for doctor-patient decision-making regarding biopsy. The widely used online Prostate Cancer Prevention Trial Risk Calculator (PCPTRC) utilized data from the 1990s based on six-core biopsies and outdated grading systems.<br />Objective: We prospectively gathered data from men undergoing prostate biopsy in multiple diverse North American and European institutions participating in the Prostate Biopsy Collaborative Group (PBCG) in order to build a state-of-the-art risk prediction tool.<br />Design, Setting, and Participants: We obtained data from 15 611 men undergoing 16 369 prostate biopsies during 2006-2017 at eight North American institutions for model-building and three European institutions for validation.<br />Outcome Measurements and Statistical Analysis: We used multinomial logistic regression to estimate the risks of high-grade prostate cancer (Gleason score ≥7) on biopsy based on clinical characteristics, including age, prostate-specific antigen, digital rectal exam, African ancestry, first-degree family history, and prior negative biopsy. We compared the PBCG model to the PCPTRC using internal cross-validation and external validation on the European cohorts.<br />Results and Limitations: Cross-validation on the North American cohorts (5992 biopsies) yielded the PBCG model area under the receiver operating characteristic curve (AUC) as 75.5% (95% confidence interval: 74.2-76.8), a small improvement over the AUC of 72.3% (70.9-73.7) for the PCPTRC (p<0.0001). However, calibration and clinical net benefit were far superior for the PBCG model. Using a risk threshold of 10%, clinical use of the PBCG model would lead to the equivalent of 25 fewer biopsies per 1000 patients without missing any high-grade cancers. Results were similar on external validation on 10 377 European biopsies.<br />Conclusions: The PBCG model should be used in place of the PCPTRC for prediction of prostate biopsy outcome.<br />Patient Summary: A contemporary risk tool for outcomes on prostate biopsy based on the routine clinical risk factors is now available for informed decision-making.<br /> (Copyright © 2018 European Association of Urology. Published by Elsevier B.V. All rights reserved.)

Details

Language :
English
ISSN :
1873-7560
Volume :
74
Issue :
2
Database :
MEDLINE
Journal :
European urology
Publication Type :
Academic Journal
Accession number :
29778349
Full Text :
https://doi.org/10.1016/j.eururo.2018.05.003