| Literature DB >> 33674631 |
Yu-Hua Fan1,2,3, Po-Hsun Pan1, Wei-Ming Cheng2,4, Hsin-Kai Wang5,6, Shu-Huei Shen5,6, Hsian-Tzu Liu5,6, Hao-Min Cheng7,8,9, Wei-Ren Chen1,2,3, Tzu-Hao Huang1,2,3, Tzu-Chun Wei1,2,3, I-Shen Huang1,2,3, Chih-Chieh Lin1,2,3, Eric Y H Huang1,2,3, Hsiao-Jen Chung1,2,3, William J S Huang1,2,3, Tzu-Ping Lin10,11,12.
Abstract
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.Entities:
Year: 2021 PMID: 33674631 PMCID: PMC7935887 DOI: 10.1038/s41598-020-78428-6
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379