A novel nomogram for predicting overall survival in patients with tongue squamous cell carcinoma using clinical features and MRI radiomics data: a pilot study
The nomogram constructed using clinical data and MRI radiomics parameters may accurately predict TSCC-OS noninvasively, thereby assisting clinicians in promptly modifying treatment strategies to improve patient prognosis.
Authors
- Yingjian Ye
- Peng An (ORCID: https://orcid.org/0009-0007-4915-347X)
- Xin Jin (ORCID: https://orcid.org/0000-0001-8816-9705)
- Ping Song (ORCID: https://orcid.org/0000-0002-7965-2399)
- Lina Song (ORCID: https://orcid.org/0009-0008-9987-7617)
- Yongling Yao
- Tianfang Peng
- H L Li
Institutions
- Hubei University of Medicine (CN)
- Hubei University of Arts and Science (CN)
- Xiang Yang No.1 People's Hospital (CN)
Publication Details
- Journal
- World Journal of Surgical Oncology
- Published
- 2024-08-29
- DOI
- https://doi.org/10.1186/s12957-024-03508-0
- Citations
- 3
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.21
Funders
- Hubei University of Medicine
- Hubei University
- Division of Graduate Education