A transformer-based deep learning model for preoperative prediction of lymphovascular invasion in laryngeal squamous cell carcinoma: a multicenter study
Radiomics models based on CT images exhibit potential for noninvasive prediction of LVI in LSCC, with the transformer hybrid model achieving the highest diagnostic performance. This approach may provide clinicians with a preoperative decision support tool to optimize treatment strategies for patients with LSCC.
Authors
- Shuo‐Xing Dou (ORCID: https://orcid.org/0000-0002-7201-2081)
- Shanhong Lu (ORCID: https://orcid.org/0000-0002-2148-3537)
- Jiaxin Yao (ORCID: https://orcid.org/0000-0003-2419-6928)
- Helei Yan (ORCID: https://orcid.org/0000-0001-5552-503X)
- Guizhi Wang (ORCID: https://orcid.org/0000-0003-1960-2629)
- Xingwei Wang (ORCID: https://orcid.org/0000-0002-9579-3837)
- Jing Hou (ORCID: https://orcid.org/0000-0003-4778-137X)
- Xin Zhang (ORCID: https://orcid.org/0000-0003-1816-0953)
- Lei Liu (ORCID: https://orcid.org/0000-0002-3570-2219)
- Yong Liu (ORCID: https://orcid.org/0000-0002-8311-258X)
- Yunyun Wang (ORCID: https://orcid.org/0000-0002-0102-9898)
- Yuanzheng Qiu
- Yizhen Li (ORCID: https://orcid.org/0000-0003-4710-9049)
- Yan Gao (ORCID: https://orcid.org/0000-0001-8147-8425)
- Xiaoping Yu (ORCID: https://orcid.org/0000-0002-1775-6467)
- Donghai Huang (ORCID: https://orcid.org/0000-0002-8905-3234)
Institutions
- Central South University (CN)
- Hunan Provincial Center for Disease Control and Prevention (CN)
- Fifth Affiliated Hospital of Zhengzhou University (CN)
- Hunan Cancer Hospital (CN)
- First Affiliated Hospital of Zhengzhou University (CN)
- Xiangya Hospital Central South University (CN)
Publication Details
- Journal
- International Journal of Surgery
- Published
- 2025-11-11
- DOI
- https://doi.org/10.1097/js9.0000000000004012
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00