Habitat radiomics assists radiologists in accurately diagnosing lymph node metastasis of adenocarcinoma of the esophagogastric junction
Accurate lymph node diagnosis in esophagogastric junction adenocarcinoma is beneficial for prognosis. Habitat radiomics model accurately predicted and assisted physicians in diagnosing lymph nodes. The habitat model effectively reclassified false-negative lymph nodes at Node-RADS 1 and 2.
Authors
- Ning Yuan (ORCID: https://orcid.org/0000-0002-3853-3182)
- Yuan Li (ORCID: https://orcid.org/0000-0002-0609-2431)
- Luyao Wang (ORCID: https://orcid.org/0000-0002-9488-4040)
- Juan Li (ORCID: https://orcid.org/0000-0002-0121-7098)
- Xing Guo
- Yueying Li (ORCID: https://orcid.org/0000-0002-3924-1309)
- Yuru Li (ORCID: https://orcid.org/0000-0002-4568-6144)
- Hongwei Yu
- Huijie Feng (ORCID: https://orcid.org/0000-0002-8017-0928)
- Aris Xie (ORCID: https://orcid.org/0009-0001-0888-9989)
- Linfang Ke
- Huijuan Qin
- Pingfan Jia
- Haonan Li (ORCID: https://orcid.org/0009-0004-1982-8710)
Institutions
- Changzhi Medical College (CN)
- China-Japan Friendship Hospital (CN)
Publication Details
- Journal
- Insights into Imaging
- Published
- 2025-04-24
- DOI
- https://doi.org/10.1186/s13244-025-01969-9
- Citations
- 4
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 5.44
Funders
- Health Commission of Shanxi Province