Letter re: Multimodal AI-based risk stratification for distant metastasis in nasopharyngeal carcinoma
We read with interest the study by Zhou et al. in ESMO Open1 on a multimodal deep learning-based [graph for nasopharyngeal carcinoma (GNPC)] digital score for predicting distant metastasis risk in nasopharyngeal carcinoma (NPC) incorporating signals from both hematoxylin–eosin-stained whole-slide images and clinical data. Despite the robust predictive performance of GNPC score, the rigor in the following aspects merits further discussion.
Authors
- Bin Zhang (ORCID: https://orcid.org/0000-0002-6286-6227)
- Xiancong Liu (ORCID: https://orcid.org/0000-0002-1927-5245)
Institutions
- First Affiliated Hospital of Jinan University (CN)
Publication Details
- Journal
- ESMO Open
- Published
- 2025-11-26
- DOI
- https://doi.org/10.1016/j.esmoop.2025.105917
- Primary Topic
- Head and Neck Cancer Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00