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

被引:31
|
作者
Fan, Yu-Hua [1 ,2 ,3 ]
Pan, Po-Hsun [1 ]
Cheng, Wei-Ming [2 ,4 ]
Wang, Hsin-Kai [5 ,7 ]
Shen, Shu-Huei [5 ,7 ]
Liu, Hsian-Tzu [5 ,7 ]
Cheng, Hao-Min [6 ,8 ,9 ]
Chen, Wei-Ren [1 ,2 ,3 ]
Huang, Tzu-Hao [1 ,2 ,3 ]
Wei, Tzu-Chun [1 ,2 ,3 ]
Huang, I-Shen [1 ,2 ,3 ]
Lin, Chih-Chieh [1 ,2 ,3 ]
Huang, Eric Y. H. [1 ,2 ,3 ]
Chung, Hsiao-Jen [1 ,2 ,3 ]
Huang, William J. S. [1 ,2 ,3 ]
Lin, Tzu-Ping [1 ,2 ,3 ]
机构
[1] Taipei Vet Gen Hosp, Dept Urol, 201,Sect 2,Shipai Rd, Taipei 11217, Taiwan
[2] Natl Yang Ming Univ, Sch Med, Dept Urol, Taipei, Taiwan
[3] Natl Yang Ming Univ, Shu Tien Urol Inst, Taipei, Taiwan
[4] Taipei City Hosp, Dept Surg, Div Urol, Zhongxiao Branch, Taipei, Taiwan
[5] Taipei Vet Gen Hosp, Dept Radiol, Taipei, Taiwan
[6] Taipei Vet Gen Hosp, Ctr Evidence Based Med, Taipei, Taiwan
[7] Natl Yang Ming Univ, Sch Med, Taipei, Taiwan
[8] Natl Yang Ming Univ, Fac Med, Taipei, Taiwan
[9] Natl Yang Ming Univ, Inst Publ Hlth, Taipei, Taiwan
关键词
D O I
10.1038/s41598-020-78428-6
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
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.
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页数:7
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