Prediction of clinical outcome for high-intensity focused ultrasound ablation of adenomyosis based on non-enhanced MRI radiomics

The combined model based on non-enhanced MRI radiomics was effective in predicting the outcome of HIFU ablation of adenomyosis before surgery.

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Publication Details

Journal
International Journal of Hyperthermia
Published
2025-02-23
DOI
https://doi.org/10.1080/02656736.2025.2468766
Citations
2
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
2.72

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article

Prediction of clinical outcome for high-intensity focused ultrasound ablation of adenomyosis based on non-enhanced MRI radiomics

Xiaohua Huang, Ziyi Liu, Yuan Wang, Xiaofeng Wan et al.
2 citations
International Journal of Hyperthermia
Radiomics and Machine Learning in Medical Imaging
2.72
article

Prediction of clinical outcome for high-intensity focused ultrasound ablation of adenomyosis based on non-enhanced MRI radiomics

Xiaohua Huang, Ziyi Liu, Yuan Wang, Xiaofeng Wan, Ziyan Liu
article en
2 citations

Abstract

The combined model based on non-enhanced MRI radiomics was effective in predicting the outcome of HIFU ablation of adenomyosis before surgery.

International Journal of HyperthermiaVol. 42(1)
Affiliated Hospital of North Sichuan Medical College (CN)
Bureau of Science and Technology Nanchong City
Openalex Percentile: Top 12%
Radiomics and Machine Learning in Medical Imaging
2.72
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