Predicting the early therapeutic response to hepatic artery infusion chemotherapy in patients with unresectable HCC using a contrast-enhanced computed tomography-based habitat radiomics model: a multi-center retrospective study

The CECT-based habitat radiomics model is an effective, visualized, and noninvasive tool for predicting the early therapeutic response of patients with unresectable HCC to HAIC-FOLFOX treatment and could guide clinical management and decision-making.

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Publication Details

Journal
Cellular Oncology
Published
2025-02-04
DOI
https://doi.org/10.1007/s13402-025-01041-0
Citations
6
Primary Topic
Hepatocellular Carcinoma Treatment and Prognosis
Type
article
Field-Weighted Citation Impact
7.93

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article

Predicting the early therapeutic response to hepatic artery infusion chemotherapy in patients with unresectable HCC using a contrast-enhanced computed tomography-based habitat radiomics model: a multi-center retrospective study

Shujie Lai, Nan You, Jie Long, Mingsong Wu et al.
6 citations
Cellular Oncology
Hepatocellular Carcinoma Treatment and Prognosis
7.93
article

Predicting the early therapeutic response to hepatic artery infusion chemotherapy in patients with unresectable HCC using a contrast-enhanced computed tomography-based habitat radiomics model: a multi-center retrospective study

Shujie Lai, Nan You, Jie Long, Mingsong Wu, Shunan Wang, Guanhui Li, Yuqin He, Liangzhi Wen, Zenglong Que, Xiang Lan, Hao Wu
article en
6 citations

Abstract

The CECT-based habitat radiomics model is an effective, visualized, and noninvasive tool for predicting the early therapeutic response of patients with unresectable HCC to HAIC-FOLFOX treatment and could guide clinical management and decision-making.

Cellular OncologyVol. 48(3)
Army Medical University (CN), Daping Hospital (CN), Xinqiao Hospital (CN), The Affiliated Yongchuan Hospital of Chongqing Medical University (CN), Chongqing Medical University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 2%
Hepatocellular Carcinoma Treatment and Prognosis
7.93
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