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Open access Aug 2026

Machine learning-based ultrasound radiomics for prediction of 6-month local thermal ablation response in benign thyroid nodules: a multicenter study

Objective This study aimed to develop a machine learning (ML)-based ultrasound (US) radiomics model for prediction of 6-month local treatment response (LTR) ofthermal ablation (TA) for benign thyroid nodules (BTNs). Methods Between January 2018 and July 2021, a total of 388 patients who underwent US-guided TA in three...

Xiao-Wan Bo, Zhuo-Ran Wang, Chong-Ke Zhao et al. · 0 citations
Open access Sep 2026

Pretreatment MRI and Ultrasound Features of the Primary Tumor and Axillary Nodes for Predicting Axillary Pathologic Complete Response After Neoadjuvant Chemotherapy: A Cross-Anatomic Comparison

Background/Objectives: Pretreatment imaging may help estimate axillary response after neoadjuvant chemotherapy (NAC) in clinically node-positive (cN+) breast cancer. This study compared routinely available magnetic resonance imaging (MRI) and ultrasound (US) descriptors from the primary tumor and axillary nodes for pre...

Shuang Liu, Yong-Xin Chen, Wen-Jie Tang et al. · 0 citations

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