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Updated: Jan 30, 2026

Gene Regulation and Targeted Therapy in Gastric Cancer Peritoneal Metastasis: Radiological Findings from Dual Energy CT and PET/CT
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可解释的机器学习模型使用双能CT用于预测胃癌的不良组织病理状态:一个多中心研究

Yiyang Liu1, Shuai Zhao2, Diansen Chen3

  • 1Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China; Henan International Joint Laboratory of Medical Imaging, Zhengzhou, China; Henan Key Laboratory of Imaging Diagnosis and Treatment for Digestive System Tumor, Zhengzhou, China; Henan Key Laboratory of CT Imaging, Zhengzhou, China; Department of Medical Imaging, Zhengzhou University People's Hospital and Henan Provincial People's Hospital, Zhengzhou, China.

European journal of radiology
|January 28, 2026
PubMed
概括

使用双能CT (DECT) 定量参数的机器学习模型可以预测不利的胃癌 (GC) 组织病理学. 这些模型还与患者无进展生存相关,提供非侵入性见解.

关键词:
诊断 诊断 诊断 诊断 诊断机器学习是机器学习.胃的新生瘤 胃的新生瘤断层扫描 (X射线计算) 的使用

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