A combined model integrating deep learning, radiomics, and clinical ultrasound features for predicting BRAF V600E mutation in papillary thyroid carcinoma with Hashimoto’s thyroiditis

A combined model integrating deep learning, radiomics, and clinical ultrasound features for predicting BRAF V600E mutation in papillary thyroid carcinoma with Hashimoto’s thyroiditis

ObjectiveThis study aims to develop an integrated model that combines radiomics, deep learning features, and clinical and ultrasound characteristics for predicting BRAF V600E mutations in patients with papillary thyroid carcinoma (PTC) combined with Hashimoto’s thyroiditis (HT).MethodsThis retrospec...

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Bibliographic Details
Main Authors: Peng-Fei Zhu, Xiao-Feng Zhang, Pu Zhou, Jiang-Yuan Ben, Hao Wang, Shu-E Zeng, Xin-Wu Cui, Ying He
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-08-01
Series:Frontiers in Endocrinology
Subjects:
papillary thyroid carcinoma
Hashimoto’s thyroiditis
BRAF V600E mutation
radiomics
deep learning
ultrasound
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2025.1641037/full
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https://www.frontiersin.org/articles/10.3389/fendo.2025.1641037/full

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