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Abstract
Abstract Title
Diagnostic Performance of Prostate Health Index (PHI) to Predicting clinical-significant Prostate cancer: a Systematic Review and Meta-Analysis
Presentation Type
Podium Abstract
Manuscript Type
Meta Analysis / Systematic Review
Abstract Category *
Oncology: Prostate
Author's Information
Number of Authors (including submitting/presenting author) *
5
No more than 10 authors can be listed (as per the Good Publication Practice (GPP) Guidelines).
Please ensure the authors are listed in the right order.
Country
China
Co-author 1
Yi-Fan Xiong xyf020615@163.com Tongji Medical College, Huazhong University of Science and Technology Department and Institute of Urology Wuhan China *
Co-author 2
Xing-Yu Zhong U201810328@hust.edu.cn Tongji Medical College, Huazhong University of Science and Technology Department and Institute of Urology Wuhan China -
Co-author 3
Yu-Xuan Yang u202010333@hust.edu.cn Tongji Medical College, Huazhong University of Science and Technology Department and Institute of Urology Wuhan China -
Co-author 4
Shao-Gang Wang sgwangtjm@163.com Tongji Medical College, Huazhong University of Science and Technology Department and Institute of Urology Wuhan China -
Co-author 5
Qi-Dong Xia qidongxia_md@163.com Tongji Medical College, Huazhong University of Science and Technology Department and Institute of Urology Wuhan China -
Co-author 6
Co-author 7
Co-author 8
Co-author 9
Co-author 10
Co-author 11
Co-author 12
Co-author 13
Co-author 14
Co-author 15
Co-author 16
Co-author 17
Co-author 18
Co-author 19
Co-author 20
Abstract Content
Introduction
Early diagnosis of prostate cancer has always been a major concern. The Prostate Health Index (PHI), integrating total prostate-specific antigen (PSA), free PSA, and [-2]proPSA, is proposed to enhance specificity in detecting clinically significant prostate cancer (csPCa) compared to conventional PSA metrics. This systematic review and meta-analysis aims to evaluate the diagnostic accuracy of PHI for predicting csPCa.
Materials and Methods
A systematic search of PubMed, Embase, Web of Science and Cochrane Library (Up to March 1, 2025) identified studies reporting PHI’s diagnostic performance against histopathological confirmation of csPCa (Grade Group≥2 or ISUP ≥2). Pooled sensitivity, specificity, and hierarchical summary receiver operating characteristic curves were derived using bivariate random-effects models. Study quality was assessed via QUADAS-2. Subgroup analyses explored heterogeneity across patients‘ PSA range and continent.
Results
Fifty-nine studies including 23019 patients were screened out in this study, PHI demonstrated a pooled sensitivity of 81% (95% CI: [78%-84%] ) and specificity of 62% (95% CI: [58%–67%]) for csPCa detection, with an AUC of 79% (95% CI [75%-82%]). In the subgroup analysis, Asia, Europe and North America showed different diagnostic accuracy with an AUC of 81% (95% CI: [77%–84%]),76% (95% CI: [72%–80%]) and 74% (95% CI: [70%-78%]).
Conclusions
Compared with previous studies, PHI exhibits superior specificity to traditional PSA parameters in identifying csPCa, potentially reducing unnecessary biopsies in patients with elevated PSA. However, threshold standardization and validation in diverse clinical settings are needed to optimize its integration into diagnostic pathways.
Keywords
Prostate Health Index, clinical-significant Prostate cancer, diagnosis, Systematic Review and Meta-Analysis
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1357
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