Habitat radiomics predicts occult lymph node metastasis and uncovers immune microenvironment of head and neck cancer
The RF-habitat radiomics model demonstrated excellent performance for predicting occult LNM in HNSCC across three cohorts, providing a non-invasive solution for occult LNM. Furthermore, radiogenomic analysis further revealed the biological associations of the model, primarily related to T cell dysfunction.
Authors
- Juan Peng
- Min Pan (ORCID: https://orcid.org/0000-0001-9508-4849)
- Chengmin Feng
- Yanshi Li
- Yuxi Luo (ORCID: https://orcid.org/0000-0003-3133-0064)
- Huan Jiang (ORCID: https://orcid.org/0009-0009-9005-0901)
- Lin Chen (ORCID: https://orcid.org/0000-0001-5363-9981)
- Long Liu (ORCID: https://orcid.org/0000-0001-9528-0241)
- Guohua Hu (ORCID: https://orcid.org/0000-0001-8033-9378)
- Xinwei Chen (ORCID: https://orcid.org/0000-0001-5443-0215)
Institutions
- The Affiliated Yongchuan Hospital of Chongqing Medical University (CN)
- Zigong First People's Hospital (CN)
- Chongqing Medical University (CN)
Publication Details
- Journal
- Journal of Translational Medicine
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1186/s12967-025-06474-7
- Citations
- 11
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 14.96
Funders
- National Natural Science Foundation of China
- Servier