Ultrasound-based radiomics for prediction of lateral neck lymph node metastasis in patients with medullary thyroid cancer

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Authors: Jun Ma, Mei Long, Kefan Su, Jie Zhang, Lin Yan, Yukun Luo, Wen Li
Cited by: 1

Abstract

Background: Routine lateral neck lymph node dissection in patients with medullary thyroid cancer (MTC) remains controversial. Therefore, we sought to develop a model to predict the risk of lateral neck lymph node metastasis (LLNM) in patients with MTC. Methods: This retrospective study analyzed the clinical, ultrasound, and radiomics features of patients who underwent surgery and were diagnosed with MTC in our hospital from 2014 to 2023. The main outcome was LLNM, for which three models were developed: conventional model based on clinical and ultrasound features, radiomics score (rad score) model, and nomogram model that combined clinical, ultrasound, and radiomics features. Internal validation was performed using the bootstrap method, and the results were compared. The performance was calculated using area under the receiver operating characteristic curve (AUC), calibration curve, and decision curve analysis. Results: There were 89 patients included, of whom 35 patients had LLNM. No significant associations were found between gender or age and LLNM (P>0.05). The increase in calcitonin (>539.7 pg/mL) was associated with the LLNM (P=0.07). Two preoperative ultrasound findings, subcapsular location and suspicious lateral lymph nodes on ultrasound, were associated with the LLNM (P

Fields of Study & Subjects

Thyroid Cancer Diagnosis and Treatment Radiomics and Machine Learning in Medical Imaging Thyroid and Parathyroid Surgery

Publication details

Journal / source
Gland Surgery
Publisher
AME Publishing Company
Volume
15
Issue
1
Pages
12–12
Publication date
1 January 2026
Language
EN