The Prostate Health Index aids multi-parametric MRI in diagnosing significant prostate cancer

Yu Hua Fan, Po Hsun Pan, Wei Ming Cheng, Hsin Kai Wang, Shu Huei Shen, Hsian Tzu Liu, Hao Min Cheng, Wei Ren Chen, Tzu Hao Huang, Tzu Chun Wei, I. Shen Huang, Chih Chieh Lin, Eric Y.H. Huang, Hsiao Jen Chung, William J.S. Huang, Tzu Ping Lin*

*此作品的通信作者

研究成果: Article同行評審

32 引文 斯高帕斯(Scopus)

摘要

To evaluate the performance of the Prostate Health Index (PHI) in magnetic resonance imaging-transrectal ultrasound (MRI-TRUS) fusion prostate biopsy for the detection of clinically significant prostate cancer (csPCa). We prospectively enrolled 164 patients with at least one Prostate Imaging Reporting and Data System version 2 (PI-RADS v2) ≥ 3 lesions who underwent MRI-TRUS fusion prostate biopsy. Of the PSA-derived biomarkers, the PHI had the best performance in predicting csPCa (AUC 0.792, CI 0.707–0.877) in patients with PI-RADS 4/5 lesions. Furthermore, the predictive power of PHI was even higher in the patients with PI-RADS 3 lesions (AUC 0.884, CI 0.792–0.976). To minimize missing csPCa, we used a PHI cutoff of 27 and 7.4% of patients with PI-RADS 4/5 lesions could have avoided a biopsy. At this level, 2.0% of cases with csPCa would have been missed, with sensitivity and NPV rates of 98.0% and 87.5%, respectively. However, the subgroup of PI-RADS 3 was too small to define the optimal PHI cutoff. PHI was the best PSA-derived biomarker to predict csPCa in MRI-TRUS fusion prostate biopsies in men with PI-RADS ≥ 3 lesions, especially for the patients with PI-RADS 3 lesions who gained the most value.

原文English
文章編號1286
期刊Scientific reports
11
發行號1
DOIs
出版狀態Published - 12月 2021

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