Enhancing lymph node metastasis prediction in adenocarcinoma of the esophagogastric junction: A study combining radiomic with clinical features

The radiomic-clinical model is a feasible method for predicting PLNM in patients with AEJ, helping to guide clinical decision-making and personalized treatment planning.

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Publication Details

Journal
Medical Physics
Published
2024-08-29
DOI
https://doi.org/10.1002/mp.17374
Citations
1
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.40
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article

Enhancing lymph node metastasis prediction in adenocarcinoma of the esophagogastric junction: A study combining radiomic with clinical features

Xiao-Ting Ke, Kai Ye, Qiao‐yi Huang, Jianhua Xu et al.
1 citations
Medical Physics
Radiomics and Machine Learning in Medical Imaging
0.40
article

Enhancing lymph node metastasis prediction in adenocarcinoma of the esophagogastric junction: A study combining radiomic with clinical features

Xiao-Ting Ke, Kai Ye, Qiao‐yi Huang, Jianhua Xu, Hui‐da Zheng, Shu Lin, Qi‐ming Huang, Xiao‐yun Liang, Yu‐chi Tian
article en
1 citations

Abstract

The radiomic-clinical model is a feasible method for predicting PLNM in patients with AEJ, helping to guide clinical decision-making and personalized treatment planning.

Medical PhysicsVol. 51(12)
Fujian Medical University (CN), Neusoft (China) (CN), Second Affiliated Hospital of Fujian Medical University (CN)
Openalex Percentile: Top 36%
Radiomics and Machine Learning in Medical Imaging
0.40
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