在具有挑战性的前列腺影像报告和数据系统3类中提高男性临床显著前列腺癌的早期检测率。
Improving the Early Detection of Clinically Significant Prostate Cancer in Men in the Challenging Prostate Imaging-Reporting and Data System 3 Category.
作者信息
Morote Juan, Campistol Miriam, Triquell Marina, Celma Anna, Regis Lucas, de Torres Inés, Semidey Maria E, Mast Richard, Santamaria Anna, Planas Jacques, Trilla Enrique
机构信息
Department of Urology, Vall d'Hebron Hospital, Barcelona, Spain.
Prostate Cancer Research Group, Vall d'Hebron Research Institute, Barcelona, Spain.
出版信息
Eur Urol Open Sci. 2022 Jan 23;37:38-44. doi: 10.1016/j.euros.2021.12.009. eCollection 2022 Mar.
BACKGROUND
Prostate Imaging-Reporting and Data System (PI-RADS) category 3 is a challenging scenario for detection of clinically significant prostate cancer (csPCa) and some tools can improve the selection of appropriate candidates for prostate biopsy.
OBJECTIVE
To assess the performance of the European Randomized Study of Screening for Prostate Cancer (ERSPC) magnetic resonance imaging (MRI) model, the new Proclarix test, and prostate-specific antigen density (PSAD) in selecting candidates for prostate biopsy among men in the PI-RADS 3 category.
DESIGN SETTING AND PARTICIPANTS
We conducted a head-to-head prospective analysis of 567 men suspected of having PCa for whom guided and systematic biopsies were scheduled between January 2018 and March 2020 in a single academic institution. A PI-RADS v.2 category 3 lesion was identified in 169 men (29.8%).
OUTCOME MEASUREMENT AND STATISTICAL ANALYSIS
csPCa, insignificant PCa (iPCa), and unnecessary biopsy rates were analysed. csPCa was defined as grade group ≥2. Receiver operating characteristic (ROC) curves, decision curve analysis curves, and clinical utility curves were plotted.
RESULTS AND LIMITATIONS
PCa was detected in 53/169 men (31.4%) with a PI-RADS 3 lesion, identified as csPCa in 25 (14.8%) and iPCa in 28 (16.6%). The area under the ROC curve for csPCa detection was 0.703 (95% confidence interval [CI] 0.621-0.768) for Proclarix, 0.657 (95% CI 0.547-0.766) for the ERSPC MRI model, and 0.612 (95% CI 0.497-0.727) for PSAD ( = 0.027). The threshold with the highest sensitivity was 10% for Proclarix, 1.5% for the ERSPC MRI model, and 0.07 ng/ml/cm for PSAD, which yielded sensitivity of 100%, 91%, and 84%, respectively. Some 21.3%, 26.2%, and 7.1% of biopsies would be avoided with Proclarix, PSAD, and the ERSPC MRI model, respectively. Proclarix showed a net benefit over PSAD and the ERSPC MRI model. Both Proclarix and PSAD reduced iPCa overdetection from 16.6% to 11.3%, while the ERSPC MRI model reduced iPCa overdetection to 15.4%.
CONCLUSIONS
Proclarix was more accurate in selecting appropriate candidates for prostate biopsy among men in the PI-RADS 3 category when compared to PSAD and the ERSPC MRI model. Proclarix detected 100% of csPCa cases and would reduce prostate biopsies by 21.3% and iPCa overdetection by 5.3%.
PATIENT SUMMARY
We compared three methods and found that the Proclarix test can optimise the detection of clinically significant prostate cancer in men with a score of 3 on the Prostate Imaging-Reporting and Data System for magnetic resonance imaging scans.
背景
前列腺影像报告和数据系统(PI-RADS)3类是检测临床显著前列腺癌(csPCa)的具有挑战性的情况,一些工具可以改善前列腺活检合适候选者的选择。
目的
评估欧洲前列腺癌筛查随机研究(ERSPC)磁共振成像(MRI)模型、新型Proclarix检测以及前列腺特异性抗原密度(PSAD)在PI-RADS 3类男性中选择前列腺活检候选者的性能。
设计、设置和参与者:我们对567名疑似患有前列腺癌的男性进行了一项直接比较的前瞻性分析,这些男性于2018年1月至2020年3月在一家学术机构接受了引导性和系统性活检。169名男性(29.8%)被确定为PI-RADS v.2 3类病变。
结果测量和统计分析
分析了csPCa、非显著前列腺癌(iPCa)和不必要活检率。csPCa定义为分级组≥2。绘制了受试者操作特征(ROC)曲线、决策曲线分析曲线和临床效用曲线。
结果与局限性
在169名有PI-RADS 3类病变的男性中,53人(31.4%)检测到前列腺癌,其中25人(14.8%)被确定为csPCa,28人(16.6%)为iPCa。Proclarix检测csPCa的ROC曲线下面积为0.703(95%置信区间[CI]0.621 - 0.768),ERSPC MRI模型为0.657(95%CI 0.547 - 0.766),PSAD为0.612(95%CI 0.497 - 0.727)(P = 0.027)。Proclarix的最高灵敏度阈值为10%,ERSPC MRI模型为1.5%,PSAD为0.07 ng/ml/cm,其灵敏度分别为100%、91%和84%。使用Proclarix、PSAD和ERSPC MRI模型分别可避免约21.3%、26.2%和7.1%的活检。Proclarix相对于PSAD和ERSPC MRI模型显示出净效益。Proclarix和PSAD均将iPCa的过度检测率从16.6%降至11.3%,而ERSPC MRI模型将iPCa的过度检测率降至15.4%。
结论
与PSAD和ERSPC MRI模型相比,Proclarix在选择PI-RADS 3类男性中的前列腺活检合适候选者方面更准确。Proclarix检测到100%的csPCa病例,可减少21.3%的前列腺活检,并减少5.3%的iPCa过度检测。
患者总结
我们比较了三种方法,发现Proclarix检测可优化磁共振成像扫描前列腺影像报告和数据系统评分为3分的男性中临床显著前列腺癌的检测。
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