Identifying Candidates for Biopsy Omission in Prostate Cancer Using mpMRI and PSMA PET/CT

Barış Esen1,2, Yakup Kordan1, Dilek Ertoy Baydar3

  • 1Department of Urology, Koc University Hospital, Istanbul, Türkiye.

Abstract

Insights

Multiparametric MRI and PSMA PET/CT can predict adverse pathology in prostate cancer. Combining PSA density, PI-RADS, and PRIMARY scores may help identify patients for a biopsy-omitting approach.

Area of Science:

  • Urology
  • Radiology
  • Oncology

Background:

  • Novel imaging like multiparametric MRI (mpMRI) and PSMA PET/CT offer advanced diagnostic capabilities for prostate cancer.
  • These modalities may support a prostate biopsy-omitting approach in select patient groups.

Purpose of the Study:

  • To evaluate the predictive value of mpMRI and PSMA PET/CT for adverse pathology in prostate cancer patients.
  • To identify independent predictors of adverse pathology in patients undergoing radical prostatectomy.

Main Methods:

  • Retrospective evaluation of 413 patients who underwent radical prostatectomy and both mpMRI and PSMA PET/CT.
  • Analysis of patient characteristics, mpMRI (PI-RADS), and PSMA PET (SUVmax) findings.
  • Multivariable logistic regression to determine independent predictors of adverse pathology (≥pT3a, pN1, or GG≥3).

Main Results:

  • 60% of patients (248/413) exhibited adverse pathology post-radical prostatectomy.
  • Independent predictors of adverse pathology included age, PSA density (PSAD), PI-RADS-5 score on mpMRI, and prostatic SUVmax ≥12 (PRIMARY-5) on PSMA PET.
  • A combination of PSAD >0.15 ng/ml/cc, PI-RADS-5, and PRIMARY-5 consistently predicted adverse pathology.

Conclusions:

  • The combination of PSAD, mpMRI (PI-RADS), and PSMA PET/CT (PRIMARY score) effectively predicts adverse pathology in prostate cancer.
  • These findings suggest a potential role for a biopsy-omitting approach in selected patients, pending further validation.