Development of a deep learning model for T1N0 gastric cancer diagnosis using 2.5D radiomic data in preoperative CT images

Development of a deep learning model for T1N0 gastric cancer diagnosis using 2.5D radiomic data in preoperative CT images

Abstract Early detection and precise preoperative staging of early gastric cancer (EGC) are critical. Therefore, this study aims to develop a deep learning model using portal venous phase CT images to accurately distinguish EGC without lymph node metastasis. This study included 3164 patients with ga...

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Main Authors: Jingyang He, Jingli Xu, Wujie Chen, Mengxuan Cao, Jiaqing Zhang, Qing Yang, Enze Li, Ruolan Zhang, Yahang Tong, Yanqiang Zhang, Chen Gao, Qianyu Zhao, Zhiyuan Xu, Lijing Wang, Xiangdong Cheng, Guoliang Zheng, Siwei Pan, Can Hu
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:npj Precision Oncology
Online Access:https://doi.org/10.1038/s41698-025-01055-9
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https://doi.org/10.1038/s41698-025-01055-9

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