Deep learning-based quantification of tumor-infiltrating lymphocytes as a prognostic indicator in nasopharyngeal carcinoma: multicohort findings
The TIL<sub>DL</sub> percentage derived from H&E-stained WSIs effectively stratifies risk in nonmetastatic NPC and may serve as a biomarker in metastatic NPC treated with ICB, aiding in patient selection for individualized treatment.
Authors
- Xiaoxiang Gong (ORCID: https://orcid.org/0000-0003-1664-5789)
- Tianzhu Lu (ORCID: https://orcid.org/0000-0002-1524-7909)
- Chen Huang (ORCID: https://orcid.org/0000-0002-1840-5765)
- Chuanmiao Xie (ORCID: https://orcid.org/0000-0001-8533-623X)
- Fangfang Xie (ORCID: https://orcid.org/0000-0003-2668-460X)
- Jianji Pan (ORCID: https://orcid.org/0000-0002-3211-7874)
- Fan Zhong (ORCID: https://orcid.org/0000-0002-5305-8578)
- Melvin L.K. Chua (ORCID: https://orcid.org/0000-0002-1648-1473)
- Siyuan Zhan (ORCID: https://orcid.org/0000-0003-3449-9682)
- Qihao Guo (ORCID: https://orcid.org/0000-0001-5079-8047)
- Jun Chen (ORCID: https://orcid.org/0000-0002-2362-5359)
- Jing Li (ORCID: https://orcid.org/0000-0002-5962-792X)
- Zhenlong Liu (ORCID: https://orcid.org/0000-0001-5541-5535)
Institutions
- Fujian Medical University (CN)
- Nanchang University (CN)
- Sun Yat-sen University (CN)
- First Affiliated Hospital of Jiangxi Medical College (CN)
- Ganzhou People's Hospital (CN)
- Jiangxi Provincial Cancer Hospital (CN)
- Second Affiliated Hospital of Nanchang University (CN)
- National Cancer Centre Singapore (SG)
- Sun Yat-sen University Cancer Center (CN)
- Fujian Provincial Cancer Hospital (CN)
Publication Details
- Journal
- ESMO Open
- Published
- 2025-07-01
- DOI
- https://doi.org/10.1016/j.esmoop.2025.105494
- Citations
- 7
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 9.52
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Jiangxi Province