Development and validation of a machine learning model for central compartmental lymph node metastasis in solitary papillary thyroid microcarcinoma via ultrasound imaging features and clinical parameters

Development and validation of a machine learning model for central compartmental lymph node metastasis in solitary papillary thyroid microcarcinoma via ultrasound imaging features and clinical parameters

Abstract Background Papillary thyroid microcarcinoma (PTMC) is the most common malignant subtype of thyroid cancer. Preoperative assessment of the risk of central compartment lymph node metastasis (CCLNM) can provide scientific support for personalized treatment decisions prior to microwave ablation...

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Bibliographic Details
Main Authors: Haiyang Han, Heng Sun, Chang Zhou, Li Wei, Liang Xu, Dian Shen, Wenshu Hu
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Medical Imaging
Subjects:
Papillary thyroid carcinoma
Lymph node metastasis
Ultrasound
Machine learning
Online Access:https://doi.org/10.1186/s12880-025-01757-3
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https://doi.org/10.1186/s12880-025-01757-3

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