A machine learning based radiomics approach for predicting No. 14v station lymph node metastasis in gastric cancer

A machine learning based radiomics approach for predicting No. 14v station lymph node metastasis in gastric cancer

PurposeTo evaluate the potential of radiomics approach for predicting No. 14v station lymph node metastasis (14vM) in gastric cancer (GC).MethodsThe contrast enhanced CT (CECT) images with corresponding clinical information of 288 GC patients were retrospectively collected. Patients were separated i...

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Bibliographic Details
Main Authors: Tingting Ma, Mengran Zhao, Xiangli Li, Xiangchao Song, Lingwei Wang, Zhaoxiang Ye
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-10-01
Series:Frontiers in Medicine
Subjects:
radiomics
computed tomography
gastric cancer
lymph node metastasis
14v station
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2024.1464632/full
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https://www.frontiersin.org/articles/10.3389/fmed.2024.1464632/full

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