Multicenter Randomized Trial Assessing MRI and Image-guided Biopsy for Suspected Prostate Cancer: The MULTIPROS Study.

Background The optimal diagnostic pathway for prostate cancer (PCa) is evolving, requiring further evaluation in a randomized controlled trial. Purpose To assess the diagnostic accuracy of prebiopsy multiparametric MRI in the identification of clinically significant PCa (csPCa) using radical prostatectomy (RP) specimens as the reference standard, and to test the diagnostic accuracy of combined US and MRI fusion-targeted biopsy with systematic biopsies. Materials and Methods In a prospective randomized controlled trial including university hospitals, men with suspected PCa were recruited between January 2015 and August 2020 to assess the diagnostic accuracy of multiparametric MRI before biopsy in detection of csPCa at biopsy and RP histopathologic structure (primary outcome). Men with lesions suspicious for cancer (Prostate Imaging and Reporting Data System [PI-RADS] ≥3) at multiparametric MRI were first randomized to either systematic random prostate biopsies alone (control group) or US and MRI fusion-targeted biopsies with systematic random prostate biopsies (intervention group) at a one-to-one ratio to compare the diagnostic accuracy of systematic random versus combined fusion with systematic random biopsies (secondary outcome). A subset of recruited participants (n = 89) underwent RP and histologic sectioning. Results There were 582 participants who were eligible to undergo multiparametric MRI (mean age, 65 years ± 6 [SD]). In total, 413 had a PI-RADS score of at least 3 and were randomized into either the intervention group (207 of 413; 50.1%) or control group (206 of 413; 49.9%). The csPCa detection rate in the intervention group was higher, with an adjusted odds ratio of 1.79 (95% CI: 1.14, 2.79; P = .01). A subgroup of 89 men underwent RP (21.5%; 89 of 413). Multiparametric MRI helped correctly identify 131 of 182 csPCa foci in 89 men (sensitivity, 72%; 95% CI: 65, 78). The specificity, positive predictive value, and negative predictive value were 71% (91 of 128), 78% (131 of 168), and 64% (91 of 142), respectively. Conclusion Prebiopsy multiparametric MRI was accurate in the depiction of clinically significant PCa. Combining US and MRI fusion-targeted biopsies with systematic biopsies helped detect more clinically significant lesions than did systematic biopsies alone. Clinical trial registration no. NCT02745496 © RSNA, 2023 Supplemental material is available for this article.

Prostate Cancer Gleason Score From Biopsy to Radical Surgery: Can Ultrasound Shear Wave Elastography and Multiparametric Magnetic Resonance Imaging Narrow the Gap?

OBJECTIVES: To investigate the impact of ultrasound shear wave elastography (USWE) and multiparametric magnetic resonance imaging (mpMRI) in predicting a change in biopsy-assigned Gleason Score (GS) after radical surgery for localised prostate cancer (PCa). METHOD: A total of 212 men opting for laparoscopic radical prostatectomy (LRP) between September 2013 and June 2017 were recruited into this study. All the participants had 12-core transrectal ultrasound (TRUS) biopsies and imaging using USWE and mpMRI before radical surgery. The predictive accuracy for imaging modalities was assessed in relation to upgrading and downgrading of PCa GS between the biopsies and radical prostatectomy using Student's t-test and multivariable logistic regression analyses. A decision analysis curve was constructed assessing the impact of nomogram on clinical situations using different thresholds of upgrading probabilities. RESULTS: Most GS 6 diseases on biopsies were upgraded on radical surgery (37/42, 88.1%). Major downgrading was seen in GS 8 category of disease (14/35; 37.1%), whereas no alteration was observed in GS 7 on biopsies in most men (55/75; 73.3%). In univariate analysis, higher preoperative prostate-specific antigen (PSA) (p = 0.001), higher prostate-specific antigen density (PSAD) (p = 0.002), stiffer USWE lesions (p = 0.009), and higher prostate imaging-reporting and data system (PIRADS) (p = 0.002) on mpMRI were significant predictors of upgrading. In multivariate logistic regression analyses, only PSA (p = 0.016) and USWE-measured tissue stiffness (p = 0.029) showed statistical significance in predicting upgrading. CONCLUSIONS: Measurement of tissue stiffness using USWE in clinically localised PCa can predict upgrading of GS and has the potential to improve patient management options.