Comparison of multiparametric prostate MRI (mpMRI) vs. positive biopsy cores on risk of adverse pathologic outcomes after radical prostatectomy (RP) in Gleason grade group (GG) 2 prostate cancer.
Abstract
320 Background: Current guidelines endorse prognostication with percentage of positive biopsy cores when deciding upon definitive treatment in intermediate risk prostate cancer. However, in the era of mpMRI, we hypothesize that Prostate Imaging Reporting and Data System (PI-RADS) scoring is more informative for predicting adverse pathologic outcomes after RP. Methods: A retrospective study was conducted of patients with GG 2 prostate cancer from a single institution who underwent RP from 2016-2025. Patients were included based on preoperative metrics, including percentage of positive biopsy cores (≥50% or <50%), mpMRI maximum lesion diameter (<15 mm or ≥15 mm), and PI-RADS score (<4 or ≥4). Multivariable logistic regression analyses identified significant predictors of postoperative upgrading and upstaging. Results: A total of 87 patients were included with a median preoperative PSA value of 7 ng/mL (IQR 5.65–9.90) and prostate volume of 59.14 mL (IQR 38.5–81.00). Of 87 patients, 41.4% were White and 41.4% were Black. In multivariable analysis including preoperative PSA value and prostate volume, high positive biopsy cores and high mpMRI lesion diameter were not associated with pathological upgrading, upstaging and adverse pathology. However, high PI-RADS score was independently associated with pathological upstaging (p = 0.02) and adverse pathology, including pT3-4 or pN1+ (p = 0.011). Conclusions: More accurate risk stratification is needed to guide treatment decisions for intermediate risk prostate cancer. Our findings highlight greater PI-RADS score as a predictive marker of adverse pathologic features at RP. While our analysis was limited by small cohort size, our results showed no significant association between percentage of positive biopsy cores and adverse pathologic findings. Therefore, consideration of mpMRI in future optimization of existing NCCN risk stratifications may be warranted. Future investigation is needed to confirm these findings. Multivariable logistic regression model for predicting postoperative pathological upgrading, pathological upstaging (pT3-4), and adverse pathology (pT3-4 or pN1+). Pathological Upgrading (GG ≥ 3) Pathological Upstaging(pT3-4) Adverse Pathology(pT3-4 or pN1+) Variables OR (95% CI) P OR (95% CI) P OR (95% CI) P Preoperative PSA 1.01 (0.89-1.25) 0.54 0.94 (0.82-1.08) 0.39 0.94 (0.81-1.08) 0.36 Prostate volume 1.00 (0.98-1.01) 0.66 1.00 (0.98-1.01) 0.47 0.99 (0.98-1.01) 0.39 Positive Biopsy Cores ≥ 50% 1.01 (0.44-2.31) 0.98 1.21 (0.66-2.24) 0.54 1.33 (0.71-2.48) 0.37 Max Lesion Diameter ≥ 15mm 1.01 (0.92-1.1) 0.91 1.00 (0.93-1.07) 0.89 0.99 (0.93-1.06) 0.85 PI-RADS ≥ 4 1.16 (0.47-2.88) 0.75 2.36 (1.15-4.83) 0.02 2.6 (1.25-5.42) 0.011
Article Details
Journal Info
Journal of Clinical Oncology
Lippincott Williams & Wilkins
Authors (9)
Sam Kwon
George Washington University School of Medicine and Health Sciences, Washington, DC
Vincent Eric Xu
George Washington University School of Medicine and Health Sciences, Washington, DC
Rollins Turner
George Washington University School of Medicine and Health Sciences, Washington, DC
Mateo Ugarte
George Washington University School of Medicine and Health Sciences, Washington, DC
Joseph Manus
George Washington University School of Medicine and Health Sciences, Washington, DC
Diego Gonzalez
Kris Kokoneshi
George Washington University School of Medicine and Health Sciences, Washington, DC
Rachel Bernardo
George Washington University School of Medicine and Health Sciences, Washington, DC
Michael Joseph Whalen
George Washington University School of Medicine and Health Sciences, Washington, DC