Developing a multi‐modal MRI radiomics‐based model to predict the long‐term overall survival of patients with hypopharyngeal cancer receiving definitive radiotherapy
We developed a well-discriminating overall survival prediction model based on multimodal MRI radiomics, applicable to patients receiving definitive radiotherapy, which may contribute to personalized treatment strategies.
Authors
- Dilinaer Wusiman (ORCID: https://orcid.org/0000-0002-9176-7076)
- Xiwei Zhang (ORCID: https://orcid.org/0000-0003-3358-0593)
- Shaoyan Liu (ORCID: https://orcid.org/0000-0002-7354-774X)
- Susheng Miao (ORCID: https://orcid.org/0000-0002-7701-9362)
- Junlin Yi (ORCID: https://orcid.org/0000-0002-7083-0216)
- Ying Sun (ORCID: https://orcid.org/0000-0002-5888-2929)
- Zhi Wang (ORCID: https://orcid.org/0000-0002-5276-1413)
- Ye Zhang (ORCID: https://orcid.org/0000-0002-6052-0708)
- Xin Yu (ORCID: https://orcid.org/0000-0002-3388-9606)
- Chenhong An
- Z J Li
Institutions
- Harbin Medical University (CN)
- Sun Yat-sen University (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Purdue University West Lafayette (US)
- National Cancer Center (US)
- Third Affiliated Hospital of Harbin Medical University (CN)
- Sun Yat-sen University Cancer Center (CN)
Publication Details
- Journal
- World Journal of Otorhinolaryngology - Head and Neck Surgery
- Published
- 2025-03-24
- DOI
- https://doi.org/10.1002/wjo2.70001
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00