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Uterine Artery Embolization for Pure Adenomyosis: Predictive Factors Affecting Outcomes
Kichang Han1, Man-Deuk Kim1, Joon Ho Kwon1
1Department of Radiology, Severance Hospital, Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, Korea.
Type II adenomyosis and heterogeneous T2 signal intensity predict incomplete necrosis after uterine artery embolization (UAE). Identifying these factors can improve patient outcomes and counseling for adenomyosis treatment.
Area of Science:
- Interventional Radiology
- Gynecologic Imaging
- Women's Health
Background:
- Uterine artery embolization (UAE) is a common treatment for symptomatic adenomyosis.
- Predicting treatment response, specifically necrosis of adenomyotic tissue, is crucial for optimizing patient outcomes.
- Understanding factors influencing necrosis can refine patient selection and pre-procedural counseling.
Purpose of the Study:
- To identify pre-procedural imaging characteristics associated with incomplete post-UAE necrosis in patients with pure adenomyosis.
- To evaluate the impact of necrosis on symptom severity and quality of life.
Main Methods:
- Retrospective analysis of 147 patients undergoing UAE for adenomyosis (Jan 2011-May 2025).
- Pre-procedural MRI assessed T2 signal intensity, morphology (Type I/II), and location (focal/diffuse).
- Post-procedure MRI (3 months) evaluated necrosis; Symptom Severity Scores (SSS) and HRQOL were assessed pre- and post-procedure.
Main Results:
- Complete necrosis occurred in 78.9% (116/147) of patients.
- Multivariate analysis identified Type II adenomyosis (OR 10.492) and heterogeneous T2 signal (OR 4.003) as predictors of incomplete necrosis.
- Incomplete necrosis rates were 13.6% for Type I and 63.6% for Type II adenomyosis.
- Patients with complete necrosis showed significantly greater improvements in SSS and HRQOL.
Conclusions:
- Type II adenomyosis morphology and heterogeneous T2 signal intensity are significantly associated with increased risk of incomplete necrosis post-UAE.
- These imaging findings can aid in pre-procedural counseling and patient management for adenomyosis.
- Optimizing necrosis prediction may enhance the effectiveness of UAE for adenomyosis.
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