Deep Learning Model Based on Tumor and Visceral Adipose Tissue CT Features for Predicting Peritoneal Metastasis Risk after Radical Gastrectomy in Serosa-Invasive Gastric Cancer

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Publication Details

Journal
Radiology Imaging Cancer
Published
2026-04-24
DOI
https://doi.org/10.1148/rycan.250353
Primary Topic
Gastric Cancer Management and Outcomes
Type
article
Field-Weighted Citation Impact
0.00

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article

Deep Learning Model Based on Tumor and Visceral Adipose Tissue CT Features for Predicting Peritoneal Metastasis Risk after Radical Gastrectomy in Serosa-Invasive Gastric Cancer

Shuixing Zhang, Liebin Huang, Ximiao Wang, Lian Jian et al.
Radiology Imaging Cancer
Gastric Cancer Management and Outcomes
article

Deep Learning Model Based on Tumor and Visceral Adipose Tissue CT Features for Predicting Peritoneal Metastasis Risk after Radical Gastrectomy in Serosa-Invasive Gastric Cancer

Shuixing Zhang, Liebin Huang, Ximiao Wang, Lian Jian, Wansheng Long, Qiuying Chen, Hua Xiao, Bao Feng, Y Q Huang, Yueyue Li
article en

Abstract

No abstract available for this paper.
Radiology Imaging CancerVol. 8(3)
Central South University (CN), Kunming Medical University (CN), Guilin University of Aerospace Technology (CN), Guilin University of Technology (CN), Key Laboratory of Guangdong Province (CN), Hunan Cancer Hospital (CN), First Affiliated Hospital of Kunming Medical University (CN), Guangdong Academy of Medical Sciences (CN), Jiangmen Central Hospital (CN), First Affiliated Hospital of Jinan University (CN), Guilin University of Electronic Technology (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities
Peace, Justice and strong institutions, Reduced inequalities
Openalex Percentile: Top 8%
Gastric Cancer Management and Outcomes
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