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改良前列腺健康指数(PHI)在前列腺特异性抗原(PSA)灰色区域内检测临床前列腺癌方面优于PHI密度。

The modified prostate health index (PHI) outperforms PHI density in the detection of clinical prostate cancer within the PSA grey zone.

作者信息

Chen Haojie, Shi Bowen, Wu Yanyuan, Qian Yuhang, Zhou Jiatong, Zhang Xi, Ding Jie, Yu Yongjiang

机构信息

Department of Urology, School of Medicine, Xinhua Hospital Affiliated to Shanghai Jiao Tong University, 1665 Kongjiang Rd, Yangpu, Shanghai, 200092, People's Republic of China.

Clinical Research and Innovation Unit, Xinhua Hospital of Shanghai Jiao Tong University School of Medicine, 1665 Kongjiang Rd, Yangpu, Shanghai, 200092, China.

出版信息

Int Urol Nephrol. 2022 Apr;54(4):749-756. doi: 10.1007/s11255-022-03113-8. Epub 2022 Feb 24.

Abstract

OBJECTIVES

To compare the accuracy of several volume and diameters modified prostate health index (mPHI) models with PHI density (PHID), PHI, and other prostate-specific antigen (PSA) derivatives in detecting PSA grey zone prostate cancer (PCa).

MATERIALS AND METHODS

Between August 2020 and September 2021, a consecutive cohort of 214 suspected PCa patients with elevated total PSA values ranged from 4.0 to 10.0 ng/mL were prospectively recruited and received PHI detections and transrectal ultrasonography (TRUS) measurements, followed by systematic prostate biopsies confirmation.

RESULTS

Among the 214 patients enrolled in the project, a total of 80 were diagnosed with PCa. In univariate analysis for the training cohort, the area under curve (AUC) of mPHI-2 [Formula: see text] was 0.8310, which outperformed PHID in identifying PSA grey zone PCa (P ≤ 0.0001) and showed the best net benefit in decision curve analysis (DCA). By a threshold of 0.2835, the sensitivity and specificity in the prediction of PCa were 78.9% and 90.3%, while the positive predictive value (PPV) and negative predictive value (NPV) were 78.3% and 78.6%, respectively.

CONCLUSIONS

According to our present single-center experience, the mPHI-2 risk predictor outperformed PHID or other classical parameters alone in the PCa detection with a grey zone PSA level in Asian males.

摘要

目的

比较几种经体积和直径修正的前列腺健康指数(mPHI)模型与PHI密度(PHID)、PHI及其他前列腺特异性抗原(PSA)衍生物在检测PSA灰色区间前列腺癌(PCa)方面的准确性。

材料与方法

在2020年8月至2021年9月期间,前瞻性招募了连续队列的214例总PSA值升高(范围为4.0至10.0 ng/mL)的疑似PCa患者,接受PHI检测和经直肠超声(TRUS)测量,随后进行系统性前列腺活检确诊。

结果

在该项目纳入的214例患者中,共有80例被诊断为PCa。在训练队列的单因素分析中,mPHI-2[公式:见正文]的曲线下面积(AUC)为0.8310,在识别PSA灰色区间PCa方面优于PHID(P≤0.0001),并且在决策曲线分析(DCA)中显示出最佳净效益。以0.2835为阈值,预测PCa的敏感性和特异性分别为78.9%和90.3%,而阳性预测值(PPV)和阴性预测值(NPV)分别为78.3%和78.6%。

结论

根据我们目前的单中心经验,在亚洲男性PSA处于灰色区间水平的PCa检测中,mPHI-2风险预测模型单独使用时优于PHID或其他经典参数。

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