An online clustering algorithm predicting model for prostate cancer based on PHI-related variables and PI-RADS in different PSA populations

An online clustering algorithm predicting model for prostate cancer based on PHI-related variables and PI-RADS in different PSA populations

Abstract Background and aim Prostate cancer is the most common male malignancy. Current diagnostic methods using single TPSA and PHI lack specificity. Some researches have created nomograms for predicting risk, but these are not easily visualized. Our study aims to find the best negative predictive...

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Bibliographic Details
Main Authors: Jiyuan Hu, Qi Miao, Jiayi Ren, Hongbo Su, Xianlu Zhang, Jianbin Bi, Gejun Zhang
Format: Article
Language:English
Published: BMC 2025-02-01
Series:Cancer Cell International
Subjects:
Prostate cancer
PHI
Clustering model
Clinical application
Biopsy
Online Access:https://doi.org/10.1186/s12935-025-03677-2
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https://doi.org/10.1186/s12935-025-03677-2

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