Mo Haojie, Hu Can, Li Peng, Miao Zhijun, Zhang Haoyang, Shen Gang, Sun Jiale
Department of Urology, The Fourth Affiliated Hospital of Soochow University, Medical Center of Soochow University, Suzhou Dushu Lake Hospital, Suzhou Jiangsu, 215123, China.
Department of Urology, First Affiliated Hospital of Soochow University, 188 Shizi RD, Suzhou, 215006, China.
World J Urol. 2025 Jul 17;43(1):444. doi: 10.1007/s00345-025-05810-2.
To validate a novel marker, called prostate-specific antigen (PSA) proportion of index lesion (PPIL), that could predict prostate pathology outcomes in biopsy-naïve patients with PSA levels < 10 ng/ml and Prostate Imaging Reporting and Data System (PI-RADS) 3 lesions.
This study included 356 men retrospectively from 2019 to 2024 in cohort 1 (training set and internal validation set, The First Affiliated Hospital of Soochow University). Between 2020 and 2024, 158 men were included in cohort 2 (external validation set, The Fourth Affiliated Hospital of Soochow University). The volume of all index lesions was calculated using the Slicer-3D software. Logistic regression analysis was performed for variables including PPIL and classic parameters of prostate cancer (PCa) in cohorts 1 and 2. Receiver operating characteristic curve analysis was performed, and the area under the curve (AUC) was calculated to assess utility.
In total, 100 (28.1%) patients were diagnosed with PCa in cohort 1, and 51 (51.0%) had clinically significant prostate cancer (CsPCa). In cohort 2, 55 patients (34.8%) were diagnosed with PCa. Among these, 33 (60.0%) had CsPCa. Age, prostate volume, prostate-specific antigen density, lesion volume and PPIL were predictive factors for PCa and csPCa. The highest AUC of PPIL was noted in the training set and internal and external validation sets for PCa (0.743, 0.767, and 0.750) and csPCa (0.778, 0.927, and 0.766), respectively.
PPIL may be a useful marker for predicting prostate pathology outcomes in biopsy-naïve patients with PSA level < 10 ng/ml and PI-RADS 3 lesions. This novel index may assist urologists in biopsy decision making for these so-called "double gray zone" patients.
验证一种名为前列腺特异性抗原(PSA)指数病变比例(PPIL)的新型标志物,该标志物可预测前列腺特异抗原(PSA)水平<10 ng/ml且前列腺影像报告和数据系统(PI-RADS)为3类病变的未经活检患者的前列腺病理结果。
本研究回顾性纳入了2019年至2024年期间来自队列1(训练集和内部验证集,苏州大学附属第一医院)的356名男性。2020年至2024年期间,队列2(外部验证集,苏州大学附属第四医院)纳入了158名男性。使用Slicer-3D软件计算所有指数病变的体积。对队列1和队列2中的变量进行逻辑回归分析,变量包括PPIL和前列腺癌(PCa)的经典参数。进行受试者工作特征曲线分析,并计算曲线下面积(AUC)以评估效用。
在队列1中,共有100名(28.1%)患者被诊断为PCa,其中51名(51.0%)患有临床显著前列腺癌(CsPCa)。在队列2中,55名患者(34.8%)被诊断为PCa。其中,33名(60.0%)患有CsPCa。年龄、前列腺体积、前列腺特异性抗原密度、病变体积和PPIL是PCa和CsPCa的预测因素。在训练集以及PCa的内部和外部验证集中,PPIL的最高AUC分别为0.743、0.767和0.750,在CsPCa中分别为0.778、0.927和0.766。
PPIL可能是预测PSA水平<10 ng/ml且PI-RADS为3类病变的未经活检患者前列腺病理结果的有用标志物。这一新型指标可能有助于泌尿外科医生对这些所谓的“双重灰色地带”患者进行活检决策。