Pathological features of Prostate Imaging Reporting and Data System (PI‐RADS) 3 MRI lesions in biopsy and radical prostatectomy specimens
Objective To assess the whole pathology spectrum of Prostate Imaging Reporting and Data System (PI‐RADS) 3 lesions, identified on magnetic resonance imaging, using systematic (SB), targeted biopsy (TB) and radical prostatectomy (RP) specimen analysis. Methods From a prospective database of patients...
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Veröffentlicht in: | BJU international 2022-05, Vol.129 (5), p.621-626 |
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Sprache: | eng |
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Zusammenfassung: | Objective
To assess the whole pathology spectrum of Prostate Imaging Reporting and Data System (PI‐RADS) 3 lesions, identified on magnetic resonance imaging, using systematic (SB), targeted biopsy (TB) and radical prostatectomy (RP) specimen analysis.
Methods
From a prospective database of patients undergoing RP after a combination of SB (median 12 cores) and fusion TB (median 3 cores), we included 150 PI‐RADS 3 cases. Clinically significant prostate cancer (csPCa) was defined by a Grade Group 2 or more. The primary endpoints were unfavourable features in RP specimens.
Results
Targeted biopsy was negative in 20.7% of patients. Final Grade Group 3 or more and a pT3 stage was reported in 36.7% and 38.7% of RP specimens. The upgrading rate was 38.2% between biopsy and RP specimens. The concordance rate between Grade Group on TB and RP was only 38.0%. The two independent predictive factors for unfavourable disease (pT3–4 and/or final Grade Group 3–5) were prostate‐specific antigen density (PSAD; P = 0.001) and presence of csPCa on TB (odds ratio 3.7; P = 0.001). The risk of unfavourable disease was increased 2.3‐fold and 5.8‐fold, respectively, for patients with a PSAD between 0.15 and 0.20, and a PSAD >0.20 ng/mL/g. The 5‐year biochemical recurrence‐free survival rate was 93.2%.
Conclusions
PI‐RADS 3 lesions exhibited aggressive features in almost 40% of cases. PSAD and presence of csPCa on TB are independent predictive factors for high‐grade and/or extraprostatic disease. A combination of SB and TB improve grade prediction compared to use of TB alone. |
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ISSN: | 1464-4096 1464-410X |
DOI: | 10.1111/bju.15563 |