Computed tomography radiomics reveals prognostic value of immunophenotyping in laryngeal squamous cell carcinoma: a comparison of whole tumor- versus habitats-based approaches
Whole tumor-based CT radiomics could serve as a potential predictive biomarker of immunophenotyping and outcome prediction in LSCC patients.
Authors
- Jiliang Ren (ORCID: https://orcid.org/0000-0001-8571-4675)
- Ying Yuan (ORCID: https://orcid.org/0000-0003-3163-480X)
- Yang Song
- Duo Zhang (ORCID: https://orcid.org/0000-0002-7372-6799)
- Meng Qi (ORCID: https://orcid.org/0000-0001-9360-0395)
- Weiding Zhou
Institutions
- Shanghai Jiao Tong University (CN)
- Renji Hospital (CN)
- Shanghai Ninth People's Hospital (CN)
- Eye & ENT Hospital of Fudan University (CN)
- Siemens (China) (CN)
Publication Details
- Journal
- BMC Medical Imaging
- Published
- 2024-11-11
- DOI
- https://doi.org/10.1186/s12880-024-01491-2
- Citations
- 4
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.62