Magnetic resonance imaging features influencing high-intensity focused ultrasound ablation of adenomyosis with a nonperfused volume ratio of ≥90% as a measure of clinical treatment success: retrospective multivariate analysis

Bilgin Keserci, Nguyen Minh Duc, Nguyễn Minh Đức
International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group · 2018 · vol. 35(1) , pp. 626–636 · doi:10.1080/02656736.2018.1516301 · PMID:30307340 · W2895843349
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Abstract

OBJECTIVE: This retrospective study aimed (1) to investigate the magnetic resonance imaging (MRI) features influencing a nonperfused volume ratio (NPVr) ≥ 90% after high-intensity focussed ultrasound (HIFU) ablation of adenomyosis, and (2) to assess the safety, which was defined in terms of adverse events (AEs) and changes in anti-Mullerian hormone (AMH) concentrations, and clinical efficacy, which was defined in terms of adenomyosis volume reduction and symptom improvement at 6 months' follow-up. METHODS: Sixty-six women who underwent HIFU treatment were divided into groups A (NPVr ≥90%; n = 26) and B (NPVr <90%, n = 40). Multivariate logistic regression analyses of MRI features were conducted to identify the potential predictors of an NPVr ≥90%. RESULTS: ratio of adenomyosis to myometrium. Clinical efficacy was significantly greater in group A than in group B. The findings showed no serious AEs and no significant differences between AMH concentrations before and 6 months after treatment. CONCLUSIONS: The present retrospective study demonstrated that achievement of NPVr ≥90% as a measure of clinical treatment success in MRI-guided HIFU treatment of adenomyosis using multivariate analyses and a prediction model is clinically possible without compromising the safety of patients.

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adenomyosis

MeSH descriptors

Adenomyosis High-Intensity Focused Ultrasound Ablation Magnetic Resonance Imaging Adenomyosis Adult Female High-Intensity Focused Ultrasound Ablation Humans Magnetic Resonance Imaging Middle Aged Multivariate Analysis Retrospective Studies

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