A Contemporary Prostate Biopsy Risk Calculator Based on Multiple Heterogeneous Cohorts

Eur Urol. 2018 Aug;74(2):197-203. doi: 10.1016/j.eururo.2018.05.003. Epub 2018 May 16.

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Prostate Cancer Prevention Trial Risk Calculator (PCPTRC) utilized data from the 1990s based on six-core biopsies and outdated grading systems.

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.

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.

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.

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.

Conclusions: The PBCG model should be used in place of the PCPTRC for prediction of prostate biopsy outcome.

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.

Keywords: Digital rectal exam; Family history; High-grade disease; Prostate cancer; Prostate-specific antigen; Risk prediction.

Publication types

  • Comparative Study
  • Multicenter Study
  • Research Support, N.I.H., Extramural
  • Research Support, U.S. Gov't, Non-P.H.S.
  • Validation Study

MeSH terms

  • Aged
  • Biopsy
  • Clinical Decision-Making
  • Decision Support Techniques*
  • Digital Rectal Examination
  • Europe / epidemiology
  • Humans
  • Kallikreins / blood
  • Male
  • Middle Aged
  • Neoplasm Grading
  • North America / epidemiology
  • Patient Selection
  • Predictive Value of Tests
  • Prospective Studies
  • Prostate-Specific Antigen / blood
  • Prostatic Neoplasms / blood
  • Prostatic Neoplasms / ethnology
  • Prostatic Neoplasms / pathology*
  • Prostatic Neoplasms / therapy
  • Reproducibility of Results
  • Risk Assessment
  • Risk Factors

Substances

  • KLK3 protein, human
  • Kallikreins
  • Prostate-Specific Antigen