Predicting the regrowth of residual uterine fibroids after high-intensity focused ultrasound treatment: an interpretable magnetic resonance imaging radiomics model

The multiparametric radiomics model demonstrated robustness in predicting the regrowth of RFs post-HIFU treatment. Radiomic features may serve as potential biomarkers for preoperative evaluation for HIFU treatment and enhance the mechanism of RF regrowth after HIFU.

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Publication Details

Journal
Quantitative Imaging in Medicine and Surgery
Published
2025-04-30
DOI
https://doi.org/10.21037/qims-24-1844
Citations
2
Primary Topic
Uterine Myomas and Treatments
Type
article
Field-Weighted Citation Impact
4.11
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article

Predicting the regrowth of residual uterine fibroids after high-intensity focused ultrasound treatment: an interpretable magnetic resonance imaging radiomics model

Fajin Lv, Yuanli Luo, Chengwei Li, Bin Yu et al.
2 citations
Quantitative Imaging in Medicine and Surgery
Uterine Myomas and Treatments
4.11
article

Predicting the regrowth of residual uterine fibroids after high-intensity focused ultrasound treatment: an interpretable magnetic resonance imaging radiomics model

Fajin Lv, Yuanli Luo, Chengwei Li, Bin Yu, Zhibo Xiao, Yang Liu
article en
2 citations

Abstract

The multiparametric radiomics model demonstrated robustness in predicting the regrowth of RFs post-HIFU treatment. Radiomic features may serve as potential biomarkers for preoperative evaluation for HIFU treatment and enhance the mechanism of RF regrowth after HIFU.

Quantitative Imaging in Medicine and SurgeryVol. 15(5)
Third People's Hospital of Chengdu (CN), The Affiliated Yongchuan Hospital of Chongqing Medical University (CN), Chongqing Medical University (CN)
Zero hunger
Openalex Percentile: Top 8%
Uterine Myomas and Treatments
4.11
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Predicting the regrowth of residual uterine fibroids after high-intensity focused ultrasound treatment: an interpretable magnetic resonance imaging radiomics model — Fajin Lv, Yuanli Luo, et al. · Quantitative Imaging in Medicine and Surgery (2025) | TGRS Research Map | TGRS