Outcome prediction for symptomatic patients with fibroids who underwent uterine artery embolization
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This retrospective study found that pretreatment MRI features, including adenomyosis presence and intramural fibroid enhancement volume, along with patient age, effectively predicted poor clinical outcomes following uterine artery embolization for symptomatic leiomyomas.
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Abstract
PURPOSE: To predict the clinical outcome of symptomatic patients with uterine leiomyomas who underwent uterine artery embolization (UAE), based on clinical and radiological features.
METHODS: Patients with symptomatic uterine leiomyomas who underwent UAE from March 2010 to September 2019 were consecutively included in this retrospective study. Patients with persistent or recurrent symptoms and those who needed repeated UAE, myomectomy, or hysterectomy following the initial treatment were considered to have a poor outcome after UAE. The total and enhancing volume of the dominant leiomyoma in each location and uterine volume were obtained before and after UAE. Univariate and multivariate Cox proportional hazard analyses were used to evaluate the parameters that could predict poor outcome.
RESULTS: A total of 116 patients (mean age, 45 ± 5 years) were included. Forty-six patients (46/116, 39.7%) showed poor outcome. Cox regression analysis showed higher hazard of poor outcome for younger patients vs. older patients (HR: 0.92, p-value: 0.01), patients with adenomyosis vs. patients without adenomyosis (HR: 2.47, p-value 2.5 cm before UAE vs. patients without adenomyosis (HR: 4.2, p-value 440 cm3 compared to patients with no intramural fibroids (p-value: 0.06). Multivariate Cox regression analysis including age, the thickness of adenomyosis, and intramural leiomyoma volume of enhancement before UAE was chosen as the best model to predict the outcome.
CONCLUSIONS: Pretreatment clinical and MRI features could identify patients with a higher risk for poor outcome after UAE.
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- europepmc
- last seen: 2026-10-02T06:17:20.788884+00:00
- pubmed
- last seen: 2026-10-02T06:15:31.605921+00:00
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- last seen: 2026-10-02T06:31:42.897446+00:00
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Courtesy of the U.S. National Library of Medicine
Courtesy of the U.S. National Library of Medicine