Natale Caleb, Koller Christopher R, Greenberg Jacob W, Pincus Joshua, Krane Louis S
Department of Urology, Tulane University School of Medicine, New Orleans, LA 70112, USA.
Department of Urology, Southeastern Louisiana Veterans Health Care System, New Orleans, LA 70112, USA.
Life (Basel). 2021 Dec 19;11(12):1432. doi: 10.3390/life11121432.
The use of multi-parametric magnetic resonance imaging (mpMRI) in conjunction with the Prostate Imaging Reporting and Data System (PI-RADS) is standard practice in the diagnosis, surveillance, and staging of prostate cancer. The risk associated with lesions graded at a PI-RADS score of 3 is ambiguous. Further characterization of the risk associated with PI-RADS 3 lesions would be useful in guiding further work-up and intervention. This study aims to better characterize the utility of PI-RADS 3 and associated risk factors in detecting clinically significant prostate cancer. From a prospectively maintained IRB-approved dataset of all veterans undergoing mpMRI fusion biopsy at the Southeastern Louisiana Veterans Healthcare System, we identified a cohort of 230 PI-RADS 3 lesions from a dataset of 283 consecutive UroNav-guided biopsies in 263 patients from October 2017 to July 2020. Clinically significant prostate cancer (Gleason Grade ≥ 2) was detected in 18 of the biopsied PI-RADS 3 lesions, representing 7.8% of the overall sample. Based on binomial analysis, PSA densities of 0.15 or greater were predictive of clinically significant disease, as was PSA. The location of the lesion within the prostate was not shown to be a statistically significant predictor of prostate cancer overall ( = 0.87), or of clinically significant disease ( = 0.16). The majority of PI-RADS 3 lesions do not represent clinically significant disease; therefore, it is possible to reduce morbidity through biopsy. PSA density is a potential adjunctive factor in deciding which patients with PI-RADS 3 lesions require biopsy. Furthermore, while the risk of prostate cancer for African-American men has been debated in the literature, our findings indicate that race is not predictive of identifying prostate cancer, with comparable Gleason grade distributions on histology between races.
多参数磁共振成像(mpMRI)结合前列腺影像报告和数据系统(PI-RADS)用于前列腺癌的诊断、监测和分期是标准做法。PI-RADS评分为3级的病变相关风险尚不明确。进一步明确与PI-RADS 3级病变相关的风险,将有助于指导进一步的检查和干预。本研究旨在更好地明确PI-RADS 3级病变的效用及相关危险因素,以检测临床显著前列腺癌。从路易斯安那州东南部退伍军人医疗系统前瞻性维护的、经机构审查委员会(IRB)批准的所有接受mpMRI融合活检的退伍军人数据集中,我们从2017年10月至2020年7月期间263例患者的283例连续UroNav引导活检数据集中,识别出230例PI-RADS 3级病变。在活检的PI-RADS 3级病变中,18例检测到临床显著前列腺癌( Gleason分级≥2级),占总样本的7.8%。基于二项式分析,前列腺特异性抗原(PSA)密度为0.15或更高以及PSA均可预测临床显著疾病。病变在前列腺内的位置总体上未显示为前列腺癌的统计学显著预测因素(P = 0.87),对于临床显著疾病也未显示为统计学显著预测因素(P = 0.16)。大多数PI-RADS 3级病变并不代表临床显著疾病;因此,通过活检有可能降低发病率。PSA密度是决定哪些PI-RADS 3级病变患者需要活检的潜在辅助因素。此外,虽然文献中对非裔美国男性患前列腺癌的风险存在争议,但我们的研究结果表明,种族并不能预测前列腺癌的识别,不同种族间组织学上Gleason分级分布具有可比性。