Radiomics‐based prediction of T cell‐inflamed gene expression profile and prognosis in head and neck squamous cell carcinoma
The radiomics-based model predicts GEP and provides prognostic insights in HNSCC. RS-high patients may benefit from immunotherapy, highlighting the potential of integrating radiomics and transcriptomics in precision oncology.
Authors
- Qingyu Zhang (ORCID: https://orcid.org/0000-0003-0739-7752)
- Lijuan Zhou (ORCID: https://orcid.org/0000-0002-0657-9274)
- Zhenkun Yu
- Huanyu Jiang (ORCID: https://orcid.org/0000-0002-6814-7477)
- T. Yu (ORCID: https://orcid.org/0009-0003-0889-1733)
Institutions
- Second Affiliated Hospital of Nanjing Medical University (CN)
- Southeast University (CN)
- Nanjing Medical University (CN)
Publication Details
- Journal
- Medical Physics
- Published
- 2025-08-01
- DOI
- https://doi.org/10.1002/mp.18028
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36