Preoperative prognostic assessment using intratumoral and peritumoral adipose tissue radiomics derived from contrast-enhanced CT in cT3–4 gastric cancer

The integrated radscore combining intratumoral and PAT features emerged as an independent prognostic predictor for ER in cT3-4 GC, offering quantitative biomarkers to optimize neoadjuvant therapy selection and postoperative surveillance intensity.

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Publication Details

Journal
Frontiers in Oncology
Published
2025-10-09
DOI
https://doi.org/10.3389/fonc.2025.1631979
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
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article

Preoperative prognostic assessment using intratumoral and peritumoral adipose tissue radiomics derived from contrast-enhanced CT in cT3–4 gastric cancer

Bowen Liu, Donggang Pan, Chao Lü, Xiaoxiao Wang et al.
Frontiers in Oncology
Radiomics and Machine Learning in Medical Imaging
article

Preoperative prognostic assessment using intratumoral and peritumoral adipose tissue radiomics derived from contrast-enhanced CT in cT3–4 gastric cancer

Bowen Liu, Donggang Pan, Chao Lü, Xiaoxiao Wang, Rongji Dai, Xiuhong Shan, Zhixuan Wang
article en

Abstract

The integrated radscore combining intratumoral and PAT features emerged as an independent prognostic predictor for ER in cT3-4 GC, offering quantitative biomarkers to optimize neoadjuvant therapy selection and postoperative surveillance intensity.

Frontiers in OncologyVol. 15
Jiangsu University (CN), Affiliated Hospital of Jiangsu University (CN)
Openalex Percentile: Top 58%
Radiomics and Machine Learning in Medical Imaging
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