Agrawal Shashank, Prasad Vishnu, Menon Arun Ramadas, Pooleri Ginil Kumar
Department of Uro-Oncology, Amrita Institute of Medical Sciences, Kochi, Kerala, India.
Uro-Oncology, Amrita Institute of Medical Sciences, Kochi, Kerala, India.
Indian J Urol. 2025 Jan-Mar;41(1):35-39. doi: 10.4103/iju.iju_112_24. Epub 2025 Jan 1.
Recently, the Prostate Imaging Reporting and Data System - 3 lesions (PI-RADS 3) have been sub classified into "3a" - lesions with a volume of <0.5 mL and "3b" - lesions exceeding 0.5 mL, whereas the prostate-specific antigen density (PSAD) is an established adjunct tool for predicting clinically significant prostate cancer (csPCa). The objective of this study was to evaluate the association between the volume of PI-RADS 3 lesions and PSAD in diagnosing csPCa and to assess the sensitivity, specificity, negative predictive value (NPV), and positive predictive value (PPV) when PSAD is combined with the lesion volume.
This retrospective single-center study reviewed the data of transperineal prostate biopsies performed under transrectal ultrasound guidance from January 2018 to December 2023. csPCa was defined as a Gleason score ≥3 + 4. Patients were divided into two groups based on the PIRADS-3 subclassification and PSAD.
Out of the 108 PIRADS-3 lesions, 17 patients had csPCa. All the patients with PIRADS-3a ( = 37) had clinically insignificant tumors or benign conditions. Receiver operating characteristic curve analysis for predicting csPCa showed that the (Area under the curve) AUC values of PSAD, prostate volume, and prostate-specific antigen were 0.899, 0.746, and 0.381, respectively. 16 csPCa patients in PIRADS-3b category had PSAD ≥0.29 ng/ml, whereas 1 patient had PSAD <0.29 ng/ml. Sensitivity, specificity, PPV, and NPV of PIRADS-3b lesions were 100%, 40.66%, 23.94%, and 100%, respectively, and it became 94.12%, 74.07%, 53.33%, and 97.56%, respectively, when PSAD was added to PIRADS-3b lesions.
The combination of lesion volume of the PI-RADS 3 lesion and PSAD improved the PPV and specificity of detecting csPCa.
最近,前列腺影像报告和数据系统-3病变(PI-RADS 3)已被细分为“3a”(体积<0.5 mL的病变)和“3b”(体积超过0.5 mL的病变),而前列腺特异性抗原密度(PSAD)是预测临床显著前列腺癌(csPCa)的一种既定辅助工具。本研究的目的是评估PI-RADS 3病变体积与PSAD在诊断csPCa中的相关性,并评估PSAD与病变体积联合使用时的敏感性、特异性、阴性预测值(NPV)和阳性预测值(PPV)。
这项回顾性单中心研究回顾了2018年1月至2023年12月在经直肠超声引导下进行的经会阴前列腺活检数据。csPCa被定义为Gleason评分≥3 + 4。根据PIRADS-3分类和PSAD将患者分为两组。
在108个PIRADS-3病变中,17例患者患有csPCa。所有PIRADS-3a病变(n = 37)的患者均患有临床意义不显著的肿瘤或良性疾病。预测csPCa的受试者工作特征曲线分析表明,PSAD、前列腺体积和前列腺特异性抗原的曲线下面积(AUC)值分别为0.899、0.746和0.381。PIRADS-3b类别中的16例csPCa患者的PSAD≥0.29 ng/ml,而1例患者的PSAD<0.29 ng/ml。PIRADS-3b病变的敏感性、特异性、PPV和NPV分别为100%、40.66%、23.94%和100%,当将PSAD添加到PIRADS-3b病变中时,分别变为94.12%、74.07%、53.33%和97.56%。
PI-RADS 3病变的病变体积与PSAD的联合使用提高了检测csPCa的PPV和特异性。