Literature DB >> 28664580

Prostate health index significantly reduced unnecessary prostate biopsies in patients with PSA 2-10 ng/mL and PSA >10 ng/mL: Results from a Multicenter Study in China.

Rong Na1,2,3,4,5, Dingwei Ye6, Jun Qi7, Fang Liu2, Brian T Helfand8, Charles B Brendler8, Carly A Conran3, Vignesh Packiam8, Jian Gong2, Yishuo Wu1,2, Siqun L Zheng3, Zengnan Mo9, Qiang Ding1,2, Yinghao Sun10, Jianfeng Xu2,3.   

Abstract

BACKGROUND: The performance of prostate health index (phi) in predicting prostate biopsy outcomes has been well established for patients with prostate-specific antigen (PSA) values between 2 and 10 ng/mL. However, the performance of phi remains unknown in patients with PSA >10 ng/mL, the vast majority in Chinese biopsy patients. We aimed to assess the ability of phi to predict prostate cancer (PCa) and high-grade disease (Gleason Score ≥7) on biopsy in a Chinese population.
METHODS: This is a prospective, observational, multi-center study of consecutive patients who underwent a transrectal ultrasound guided prostate biopsy at four hospitals in Shanghai, China from August 2013 to December 2014.
RESULTS: In the cohort of 1538 patients, the detection rate of PCa was 40.2%. phi had a significantly better predictive performance for PCa than total PSA (tPSA). The areas under the receiver operating characteristic curve (AUC) were 0.90 and 0.79 for phi and tPSA, respectively, P < 0.0001. A considerable proportion of patients in the cohort had PSAs >10 ng/mL (N = 838, 54.5%). The detection rates of PCa were 35.9% and 57.7% in patients with tPSA 10.1-20 and 20.1-50 ng/mL, respectively. The AUCs of phi (0.79 and 0.89, for these two groups, respectively) were also significantly higher than tPSA (0.57 and 0.63, respectively), both P < 0.0001. If a phi ≤35 was used as the cutoff, 599/1538 (39%) biopsies could have been avoided at a cost of missing small numbers of PCa patients: 49 (7.93%) PCa patients, including 18 (3.69%) high-grade tumors.
CONCLUSIONS: Results from this study suggest that phi can be used to predict PCa and high-grade disease in Chinese men with high PSA levels (>10 ng/mL).
© 2017 Wiley Periodicals, Inc.

Entities:  

Keywords:  Chinese; Prostate Health Index; p2PSA; prostate biopsy

Mesh:

Substances:

Year:  2017        PMID: 28664580     DOI: 10.1002/pros.23382

Source DB:  PubMed          Journal:  Prostate        ISSN: 0270-4137            Impact factor:   4.104


  12 in total

1.  Prostate Health Index (phi) and its derivatives predict Gleason score upgrading after radical prostatectomy among patients with low-risk prostate cancer.

Authors:  Jia-Qi Yan; Da Huang; Jing-Yi Huang; Xiao-Hao Ruan; Xiao-Ling Lin; Zu-Jun Fang; Yi Gao; Hao-Wen Jiang; Yi-Shuo Wu; Rong Na; Dan-Feng Xu
Journal:  Asian J Androl       Date:  2022 Jul-Aug       Impact factor: 3.054

2.  Trends in Treatment for Prostate Cancer in China: Preliminary Patterns of Care Study in a Single Institution.

Authors:  Feng Zhao; Jiayan Shen; Zuguo Yuan; Xiaokai Yu; Peng Jiang; Baishu Zhong; Jianjian Xiang; Guoping Ren; Liping Xie; Senxiang Yan
Journal:  J Cancer       Date:  2018-04-19       Impact factor: 4.207

3.  Risk factors for infectious complications following transrectal ultrasound-guided prostate biopsy.

Authors:  Yu-Peng Wu; Xiao-Dong Li; Zhi-Bin Ke; Shao-Hao Chen; Ping-Zhou Chen; Yong Wei; Jin-Bei Huang; Xiong-Lin Sun; Xue-Yi Xue; Qing-Shui Zheng; Ning Xu
Journal:  Infect Drug Resist       Date:  2018-09-17       Impact factor: 4.003

4.  Establishment of reference intervals for serum [-2]proPSA (p2PSA), %p2PSA and prostate health index in healthy men.

Authors:  Zhi-Yu Wu; Cheng Yang; Jie Luo; Shao-Li Deng; Bin Wu; Ming Chen
Journal:  Onco Targets Ther       Date:  2019-08-13       Impact factor: 4.147

5.  Combining prostate health index and multiparametric magnetic resonance imaging in the diagnosis of clinically significant prostate cancer in an Asian population.

Authors:  Po-Fan Hsieh; Wei-Juan Li; Wei-Ching Lin; Han Chang; Chao-Hsiang Chang; Chi-Ping Huang; Chi-Rei Yang; Wen-Chi Chen; Yi-Huei Chang; Hsi-Chin Wu
Journal:  World J Urol       Date:  2019-08-22       Impact factor: 4.226

6.  Cost-Effectiveness Analysis of Prostate Health Index in Decision Making for Initial Prostate Biopsy.

Authors:  Da Huang; Xiaoqun Yang; Yishuo Wu; Xiaoling Lin; Danfeng Xu; Rong Na; Jianfeng Xu
Journal:  Front Oncol       Date:  2020-11-24       Impact factor: 6.244

7.  Correlation between Gleason score distribution and Prostate Health Index in patients with prostate-specific antigen values of 2.5-10 ng/mL.

Authors:  Joongwon Choi; Minyong Kang; Hyun Hwan Sung; Hwang Gyun Jeon; Byong Chang Jeong; Seong Il Seo; Seong Soo Jeon; Hyun Moo Lee
Journal:  Investig Clin Urol       Date:  2020-11

8.  Prostate volume does not provide additional predictive value to prostate health index for prostate cancer or clinically significant prostate cancer: results from a multicenter study in China.

Authors:  Da Huang; Yi-Shuo Wu; Ding-Wei Ye; Jun Qi; Fang Liu; Brian T Helfand; Siqun L Zheng; Qiang Ding; Dan-Feng Xu; Rong Na; Jian-Feng Xu; Ying-Hao Sun
Journal:  Asian J Androl       Date:  2020 Sep-Oct       Impact factor: 3.285

9.  Usefulness of the prostate health index in predicting the presence and aggressiveness of prostate cancer among Korean men: a prospective observational study.

Authors:  Jae Yoon Kim; Ji Hyeong Yu; Luck Hee Sung; Dae Yeon Cho; Hyun-Jung Kim; Soo Jin Yoo
Journal:  BMC Urol       Date:  2021-09-16       Impact factor: 2.264

10.  Genetic polymorphisms at 19q13.33 are associated with [-2]proPSA (p2PSA) levels and provide additional predictive value to prostate health index for prostate cancer.

Authors:  Da Huang; Xiaohao Ruan; Yishuo Wu; Xiaoling Lin; Jingyi Huang; Dingwei Ye; Yi Gao; Qiang Ding; Danfeng Xu; Rong Na
Journal:  Prostate       Date:  2021-07-12       Impact factor: 4.104

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