Can we rely on magnetic resonance imaging for prostate cancer detection and surgical planning? Comprehensive analysis of a large cohort of patients undergoing transperineal mapped biopsies

Purpose

To evaluate MRI and histological concordance in prostate cancer (PCa) identification via mapped transperineal biopsies.

Methodology

Retrospective per-lesion analysis of patients undergoing MRI and transperineal biopsy at the Valencian Institute of Oncology (2016–2024) using CAPROSIVO PCa data. Patients underwent MRI, with or without regions of interest (ROI), followed by transperineal biopsies (3–5 cores/ROI, 20–30 systematic). Sensitivity (Se), specificity (Sp), negative predictive value (NPV), positive predictive value (PPV), and area under the curve (AUC) were calculated, considering PI-RADS 3 lesions as positive or negative. Gleason Grade Group (GG) > 1 defined clinically significant PCa (csPCa).

Results

1817 lesions were analyzed from 1325 patients (median age 67, median PSA 6.3 ng/ml). 53% MRI were negative, GG > 1 prevalence was 38.4%. MRI-negative cases showed varying PCa rates: 57.4% negative, 30.2% GG 1, and 12.4% GG > 1. PI-RADS 3 lesions had mixed outcomes: 45.6% benign, 13.1% GG 1, and 41.3% GG > 1. 9.2% PI-RADS 4–5 lesions were negative, 9% GG 1, and 81.7% GG > 1. For PI-RADS 3 lesions considered positive, Se, Sp, NPV, PPV, and AUC were 82.9%, 75%, 87.6%, 67.4%, and 0.79 respectively. Considering PI-RADS 3 as negative yielded 64.8% Se, 91% Sp, 80.6% NPV, 81.7% PPV, and 0.78 AUC.

Conclusion

MRI and mapped prostate biopsies exhibited moderate concordance. MRI could miss up to one in five csPCa foci and misinterpret one in three ROIs. Careful MRI interpretation is crucial for optimizing patient care.

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