Dual-radiomics based on SHapley additive explanations for predicting hematologic toxicity in concurrent chemoradiotherapy patients

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作者信息关键词期刊信息基础信息归属信息摘要

成果类型：

期刊论文

作者：

Chen, Luqiao;He, Zhipeng;Ni, Qianxi;Zhou, Qionghui;Long, Xizi;...

通讯作者：

Liu, JH

作者机构：

[Yan, Wenbin; Liu, Jiheng; Sui, Qian; Chen, Luqiao] Cent South Univ, Hosp Changsha 1, Affiliated Changsha Hosp, Dept Hematol Oncol,Xiangya Sch Med, Changsha 410005, Peoples R China.

[He, Zhipeng] First Peoples Hosp Chenzhou, Dept Radiat Oncol, Chenzhou 423000, Peoples R China.

[Zhou, Qionghui; Ni, Qianxi] Cent South Univ, Hunan Canc Hosp, Affiliated Canc Hosp, Dept Radiat Oncol,Xiangya Sch Med, Changsha 410013, Peoples R China.

[Long, Xizi] Univ South China, Sch Publ Hlth, Hengyang Med Sch, Hunan Prov Key Lab Typ Environm Pollut & Hlth Haza, Hengyang 421001, Peoples R China.

通讯机构：

[Liu, JH ] C

Cent South Univ, Hosp Changsha 1, Affiliated Changsha Hosp, Dept Hematol Oncol,Xiangya Sch Med, Changsha 410005, Peoples R China.

语种：

英文

关键词：

Hematologic toxicity;SHAP;Machine learning;Radiomics;Dosiomics;Feature selection

期刊：

Discover Oncology

ISSN：

2730-6011

年：

2025

卷：

期：

页码：

1-12

DOI：

10.1007/s12672-025-02336-2

基金类别：

Joint Science and Health Project of Hunan Provincial Natural Science Foundation in 2024. (No. 2024JJ9505).

机构署名：

本校为其他机构

院系归属：

公共卫生学院

摘要：

BACKGROUND: This study investigates the application of a machine learning model that integrates radiomic features and dosiomic features to predict hematologic toxicity (HT) in patients with advanced cervical cancer undergoing concurrent chemoradiotherapy (CCRT). Two integration methods based on SHapley Additive exPlanations (SHAP) values for dual-radiomic features were compared. METHODS: Clinical information, planning CT images, and dose distribution files from 205 patients with advanced cervical cancer treated with CCRT were retrospectively collected. Patients were categorized by HT severity,...

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Dual-radiomics based on SHapley additive explanations for predicting hematologic toxicity in concurrent chemoradiotherapy patients

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