Multimodal AI-based risk stratification for distant metastasis in nasopharyngeal carcinoma
The proposed digital score demonstrates robust predictive performance for distant metastasis, overall survival, and local recurrence in NPC. These findings highlight its potential to assist with personalised treatment strategies and improve clinical management for NPC.
Authors
- Xue‐Jun Guo (ORCID: https://orcid.org/0000-0003-0409-9100)
- Made Satria Wibawa (ORCID: https://orcid.org/0000-0001-5098-1714)
- Hai Huang (ORCID: https://orcid.org/0000-0003-2123-6533)
- Nasir Rajpoot (ORCID: https://orcid.org/0000-0002-4706-1308)
- Kwok Wai Lo (ORCID: https://orcid.org/0000-0002-3488-6124)
- Ruojun Wang (ORCID: https://orcid.org/0000-0003-1505-6528)
- Yanming Deng (ORCID: https://orcid.org/0000-0001-7978-1417)
- Lawrence S. Young (ORCID: https://orcid.org/0000-0003-3919-4298)
- Yingying Xia (ORCID: https://orcid.org/0000-0003-4124-3175)
- Xia Lv (ORCID: https://orcid.org/0000-0003-0509-7975)
- Jiayu Zhou (ORCID: https://orcid.org/0000-0001-7164-0943)
- Zhong-Xing Luo
Institutions
- Sun Yat-sen University (CN)
- Chinese University of Hong Kong (HK)
- University of Warwick (GB)
- Sun Yat-sen University Cancer Center (CN)
Publication Details
- Journal
- ESMO Open
- Published
- 2025-09-24
- DOI
- https://doi.org/10.1016/j.esmoop.2025.105809
- Citations
- 3
- Primary Topic
- Head and Neck Cancer Studies
- Type
- article
- Field-Weighted Citation Impact
- 5.54