Multiparametric Magnetic Resonance in Predicting Progression of Low-Risk Prostate Cancer
A newly published study has demonstrated the utility of imaging using multiparametric magnetic resonance imaging (mpMRI) and its interpretation using PI-RADS version 2 (Prostate Imaging Reporting and Data System) in predicting unfavorable disease outcomes in patients with prostate cancer suitable for active surveillance.
Evaluated Data
The medical records of patients who underwent mpMRI before radical prostatectomy between 2014 and 2018 were analyzed. PI-RADS v2 scores were determined for 12 regions of the prostate. All patients met the international criteria for active surveillance of prostate cancer (PRIAS – Prostate Cancer Research International AS): Gleason score (GS) from needle biopsy ≤ 6, prostate-specific antigen (PSA) ≤ 10 ng/ml, PSA density < 0.2 ng/ml/ml, clinical stage T1c or T2, and ≤ 2 positive biopsy samples.
Patients were divided into 3 groups according to the AJCC prognostic stage:
- Stage I – pathological stage T2 and GS 6,
- Stage IIB – T2 and GS 3+4,
- Stage ≥ IIC – T3 or GS ≥ 4+3
Results
A total of 376 patients were included, of which 48.9% were in stage I, 34.3% in stage IIB, and 16.8% in stage IIC–III. Patients with stage ≥ IIC were older and had higher PSA density. They were more frequently found to have lesions with a PI-RADS score of 5. Multivariate analysis showed that the independent predictor of unfavorable disease status was ≥ 2 lesions with a PI-RADS score of 5. The hazard ratio (HR) compared to stage I patients was 3.612 for stage IIB (p < 0.001) and 6.562 for stage IIC–III (p < 0.001). A PI-RADS score ≥ 4 was a predictor only for stage IIB (HR 2.387; p = 0.01).
Conclusion
Multiparametric magnetic resonance imaging allows the identification of patients with low-risk prostate cancer for whom targeted biopsy or radical prostatectomy should be considered.
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Source: Kim H., Pak S., Park K. J. et al. Utility of multiparametric magnetic resonance imaging with PI-RADS, version 2, in patients with prostate cancer eligible for active surveillance: which radiologic characteristics can Predict unfavorable disease? Clin Genitourin Cancer 2020 Feb; 18(1): 50−55, doi: 10.1016/j.clgc.2019.09.018.
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