Non-invasive prediction of central lymph node metastasis in papillary thyroid microcarcinoma with machine learning-based CT radiomics: a multicentre study
This study developed a potential surrogate of preoperative accurate evaluation of CLNM status, which is non-invasive and easy-to-use.
Authors
- Minjiang Chen (ORCID: https://orcid.org/0000-0002-4040-6115)
- Jiansong Ji (ORCID: https://orcid.org/0000-0002-6026-3676)
- Bin Zhou (ORCID: https://orcid.org/0000-0002-8076-0960)
- Jing Yang (ORCID: https://orcid.org/0000-0001-5143-160X)
- Yongjun Chen (ORCID: https://orcid.org/0000-0002-6486-2000)
- Rongzhen Zhou
- Guihan Lin
- Feng Cheng (ORCID: https://orcid.org/0000-0002-2832-9065)
- Weiyue Chen (ORCID: https://orcid.org/0000-0002-1313-0168)
Institutions
- Wenzhou Medical University (CN)
- Lishui University (CN)
- Lishui Central Hospital (CN)
- Science & Technology Park (Czechia) (CZ)
- Zhejiang Taizhou Hospital (CN)
- Beijing Haidian Hospital (CN)
Publication Details
- Journal
- British Journal of Radiology
- Published
- 2025-10-09
- DOI
- https://doi.org/10.1093/bjr/tqaf247
- Primary Topic
- Thyroid Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00