ArticleZhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences2026
[Predictive value of a multimodal radiomics model for central lymph node metastasis in clinically node-negative papillary thyroid microcarcinoma based on machine learning].
Article in Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
objectivesTo develop and validate a machine learning-based multimodal radiomics model for predicting central lymph node metastasis (CLNM) in patients with clinically node-negative (cN0) papillary thyroid microcarcinoma (PTMC).
methodsA retrospective study was conducted on the clinical data of 532 consecutive cN0 PTMC patients who underwent surgery at the Department of Thyroid Surgery of the First People's Hospital of Changzhou and the Department of Thyroid and Breast Surgery of Suzhou Municipal Hospital between January 2022 and June 2024. Among them, 487 patients from the First People's Hospital of Changzhou were randomly assigned to a training set (
resultsLogistic regression identified five clinical features independently associated with CLNM: age <55 years (OR=2.391, 95%CI: 1.072-5.334,
conclusionsThe GBM-based multimodal radiomics model can accurately predict the risk of CLNM in patients with cN0 PTMC, which may facilitate individualized preoperative risk stratification and clinical descision-making.
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