Deep learning habitat radiomics based on ultrasound for predicting preoperative locally progression and postoperative recurrence risk of thyroid cancer: a multicenter study
Our multicenter model effectively predicts LATC and RFS based on routine ultrasound, with potential to guide individualized treatment planning. Further validation in diverse clinical settings and longer follow-up are warranted.
Authors
- Boyuan Liu (ORCID: https://orcid.org/0000-0002-0785-1882)
- Xin Wu (ORCID: https://orcid.org/0000-0002-4182-516X)
- Wenbo Ding (ORCID: https://orcid.org/0000-0003-1360-4922)
- Lu Wenwu
- Chaoxue Zhang (ORCID: https://orcid.org/0000-0002-3037-8819)
- Wei Wei (ORCID: https://orcid.org/0009-0000-6345-5369)
- Di Zhang (ORCID: https://orcid.org/0000-0003-4309-8098)
- Zhou Wang (ORCID: https://orcid.org/0000-0002-1604-4767)
- Tao Wang (ORCID: https://orcid.org/0000-0003-0581-1251)
- Xiang Xie (ORCID: https://orcid.org/0000-0002-6895-3145)
- Weibo Cheng
- Song Hu (ORCID: https://orcid.org/0000-0002-6609-5730)
Institutions
- Wannan Medical College (CN)
- Nanjing University of Chinese Medicine (CN)
- Anhui Medical University (CN)
- Anhui University of Traditional Chinese Medicine (CN)
- First Affiliated Hospital of Anhui Medical University (CN)
- Second Affiliated Hospital of Anhui Medical University (CN)
- Cixian People's Hospital (CN)
- First Affiliated Hospital of Wannan Medical College (CN)
Publication Details
- Journal
- International Journal of Surgery
- Published
- 2025-12-06
- DOI
- https://doi.org/10.1097/js9.0000000000004415
- Primary Topic
- Thyroid Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00