Predicting clinically significant prostate cancer following suspicious mpMRI: analyses from a high-volume center

Matthias Jahnen, Tanja Hausler, Valentin H. Meissner, Donna P. Ankerst, Michael W. Kattan, Andreas Sauter, Juergen E. Gschwend, Kathleen Herkommer

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Purpose: mpMRI is routinely used to stratify the risk of clinically significant prostate cancer (csPCa) in men with elevated PSA values before biopsy. This study aimed to calculate a multivariable risk model incorporating standard risk factors and mpMRI findings for predicting csPCa on subsequent prostate biopsy. Methods: Data from 677 patients undergoing mpMRI ultrasound fusion biopsy of the prostate at the TUM University Hospital tertiary urological center between 2019 and 2023 were analyzed. Patient age at biopsy (67 (median); 33–88 (range) (years)), PSA (7.2; 0.3–439 (ng/ml)), prostate volume (45; 10–300 (ml)), PSA density (0.15; 0.01–8.4), PI-RADS (V.2.0 protocol) score of index lesion (92.2% ≥3), prior negative biopsy (12.9%), suspicious digital rectal examination (31.2%), biopsy cores taken (12; 2–22), and pathological biopsy outcome were analyzed with multivariable logistic regression for independent associations with the detection of csPCa defined as ISUP ≥ 3 (n = 212 (35.2%)) and ISUP ≥ 2 (n = 459 (67.8%) performed on 603 patients with complete information. Results: Older age (OR: 1.64 for a 10-year increase; p < 0.001), higher PSA density (OR: 1.60 for a doubling; p < 0.001), higher PI-RADS score of the index lesion (OR: 2.35 for an increase of 1; p < 0.001), and a prior negative biopsy (OR: 0.43; p = 0.01) were associated with csPCa. Conclusion: mpMRI findings are the dominant predictor for csPCa on follow-up prostate biopsy. However, PSA density, age, and prior negative biopsy history are independent predictors. They must be considered when discussing the individual risk for csPCa following suspicious mpMRI and may help facilitate the further diagnostical approach.

Original languageEnglish
Article number290
JournalWorld Journal of Urology
Volume42
Issue number1
DOIs
StatePublished - Dec 2024

Keywords

  • Prostate biopsy
  • Prostate cancer
  • Risk models
  • mpMRI

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