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arXiv · 2112.13686

Radiomic biomarker extracted from PI-RADS 3 patients support more e\`icient and robust prostate cancer diagnosis: a multi-center study

Longfei Li·Rui Yang·Xin Chen·Cheng Li·Hairong Zheng·Yusong Lin·Zaiyi Liu·Shanshan Wang
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Abstract

Prostate Imaging Reporting and Data System (PI-RADS) based on multi-parametric MRI classi\^ees patients into 5 categories (PI-RADS 1-5) for routine clinical diagnosis guidance. However, there is no consensus on whether PI-RADS 3 patients should go through biopsies. Mining features from these hard samples (HS) is meaningful for physicians to achieve accurate diagnoses. Currently, the mining of HS biomarkers is insu\`icient, and the e\'eectiveness and robustness of HS biomarkers for prostate cancer diagnosis have not been explored. In this study, biomarkers from di\'eerent data distributions are constructed. Results show that HS biomarkers can achieve better performances in di\'eerent data distributions.

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Longfei Li, Rui Yang, Xin Chen, Cheng Li, Hairong Zheng, Yusong Lin, Zaiyi Liu, Shanshan Wang. 2021-12-23. Radiomic biomarker extracted from PI-RADS 3 patients support more e\`icient and robust prostate cancer diagnosis: a multi-center study. https://arxiv.org/abs/2112.13686

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