Spatial distribution of positive cores improves the selection of patients with low-risk prostate cancer as candidates for active surveillance

摘要: Objective To test the hypothesis that spatial distribution of positive cores at biopsy is a predictor unfavourable prostate cancer characteristics radical prostatectomy (RP) in active surveillance (AS) candidates. Patients and Methods We examined data 524 patients treated with RP, between 2000 2012. All fulfilled least one four commonly used AS criteria. Regression models tested relationship distribution, defined as number zones (PBxZ) tumour laterality two endpoints: (i) RP (Gleason score ≥4 + 3, and/or pT3 disease), (ii) clinically significant (tumour volume ≥2.5 mL). Results Unfavourable rates were 8 25%, respectively. Patients more than PBxZ had 3.2-fold higher risk harbouring cancer, 2.3-fold compared their counterparts (both P = 0.01). Patients bilateral 3.3-fold 1.7-fold unilateral ≤ 0.04). Some these results did not reach statistically level, when analyses restricted to most stringent criteria. Conclusions Positive should be considered, advising about AS. The addition this inclusion criteria can help identifying progression, reduce rate inappropriate aggressive tumours. However, (namely John-Hopkins Prostate Cancer Research International: Active Surveillance criteria) might benefit from predictor. This point warrants further investigation future studies.