Prediction of lymph node metastasis in papillary thyroid carcinoma using non-contrast CT-based radiomics and deep learning with thyroid lobe segmentation: A dual-center study

Prediction of lymph node metastasis in papillary thyroid carcinoma using non-contrast CT-based radiomics and deep learning with thyroid lobe segmentation: A dual-center study

Objectives: This study aimed to develop a predictive model for lymph node metastasis (LNM) in papillary thyroid carcinoma (PTC) patients by deep learning radiomic (DLRad) and clinical features. Methods: This study included 271 thyroid lobes from 228 PTC patients who underwent preoperative neck non-c...

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Bibliographic Details
Main Authors: Hao Wang, Xuan Wang, Yusheng Du, You Wang, Zhuojie Bai, Di Wu, Wuliang Tang, Hanling Zeng, Jing Tao, Jian He
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:European Journal of Radiology Open
Subjects:
Lymph node metastasis
Papillary thyroid cancer
Deep transfer learning
Radiomics
Non-contrast CT
Online Access:http://www.sciencedirect.com/science/article/pii/S2352047725000061
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