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A Contemporary Prostate Biopsy Risk Calculator Based on Multiple Heterogeneous Cohorts
- Ankerst, Donna P;
- Straubinger, Johanna;
- Selig, Katharina;
- Guerrios, Lourdes;
- De Hoedt, Amanda;
- Hernandez, Javier;
- Liss, Michael A;
- Leach, Robin J;
- Freedland, Stephen J;
- Kattan, Michael W;
- Nam, Robert;
- Haese, Alexander;
- Montorsi, Francesco;
- Boorjian, Stephen A;
- Cooperberg, Matthew R;
- Poyet, Cedric;
- Vertosick, Emily;
- Vickers, Andrew J
- et al.
Published Web Location
https://doi.org/10.1016/j.eururo.2018.05.003Abstract
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Prostate Cancer Prevention Trial Risk Calculator (PCPTRC) utilized data from the 1990s based on six-core biopsies and outdated grading systems.Objective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.Many UC-authored scholarly publications are freely available on this site because of the UC's open access policies. Let us know how this access is important for you.
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