Abstract
Purpose
To justify a classification system for angiographic images of uterine artery embolization (UAE) for postpartum hemorrhage (PPH) and identify new risk factors associated with failed embolization.
Materials and methods
A retrospective analysis of 63 consecutive patients who underwent UAE for severe PPH was performed. Uterine artery angiography (UA) before embolization was classified into two types: type 1 was defined as complete staining and type 2 was defined as partial staining of the uterine arteries. The clinical outcome, UA classification, and other possible factors previously reported were evaluated. Univariate and multivariate analyses were performed to determine the factors related to clinical outcomes.
Results
Sixty-three patients were enrolled (type 1, 22; type 2, 41). The clinical success rates of the primary UAE session were 90.9% (20/22) for type 1 and 61.0% (25/41) for type 2 (p = 0.018). Univariate and multivariate analyses demonstrated that the only UA classification was significantly associated with primary UAE failure (p = 0.033).
Conclusions
The UA classification is an independent predictive factor of the clinical success rate of the primary UAE session for PPH; thus, it is an intuitive and optimal predictor for interventional radiologists to decide whether additional therapy is necessary.
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This study has been approved by Kobe University Research Ethics Committee.
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Ueshima, E., Sugimoto, K., Okada, T. et al. Classification of uterine artery angiographic images: a predictive factor of failure in uterine artery embolization for postpartum hemorrhage. Jpn J Radiol 36, 394–400 (2018). https://doi.org/10.1007/s11604-018-0736-1
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DOI: https://doi.org/10.1007/s11604-018-0736-1