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

The ML-based radiomics model provided a promising image biomarker for preoperative detection of 14vM and may help the surgeon to decide whether to add 14v dissection to lymphadenectomy.

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Publication Details

Journal
Frontiers in Medicine
Published
2024-10-18
DOI
https://doi.org/10.3389/fmed.2024.1464632
Citations
3
Primary Topic
Gastric Cancer Management and Outcomes
Type
article
Field-Weighted Citation Impact
1.26

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article

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

Mengran Zhao, Tingting Ma, Zhaoxiang Ye, Lingling Wang et al.
3 citations
Frontiers in Medicine
Gastric Cancer Management and Outcomes
1.26
article

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

Mengran Zhao, Tingting Ma, Zhaoxiang Ye, Lingling Wang, Xiangli Li, Xiangchao Song
article en
3 citations

Abstract

The ML-based radiomics model provided a promising image biomarker for preoperative detection of 14vM and may help the surgeon to decide whether to add 14v dissection to lymphadenectomy.

Frontiers in MedicineVol. 11
Tianjin Medical University Cancer Institute and Hospital (CN), Weifang People's Hospital (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Good health and well-being
Openalex Percentile: Top 18%
Gastric Cancer Management and Outcomes
1.26
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