Prediction of BRAF and TERT status in PTCs by machine learning-based ultrasound radiomics methods: A multicenter study

Prediction of BRAF and TERT status in PTCs by machine learning-based ultrasound radiomics methods: A multicenter study

Background: Preoperative identification of genetic mutations is conducive to individualized treatment and management of papillary thyroid carcinoma (PTC) patients. Purpose: To investigate the predictive value of the machine learning (ML)-based ultrasound (US) radiomics approaches for BRAF V600E and...

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Bibliographic Details
Main Authors: Hui Shi, Ke Ding, Xue Ting Yang, Ting Fan Wu, Jia Yi Zheng, Li Fan Wang, Bo Yang Zhou, Li Ping Sun, Yi Feng Zhang, Chong Ke Zhao, Hui Xiong Xu
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Journal of Clinical & Translational Endocrinology
Subjects:
Papillary thyroid carcinoma
BRAF V600E
TERT promoter
Machine learning
Radiomics
Prediction
Online Access:http://www.sciencedirect.com/science/article/pii/S2214623725000080
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