Can measurement of apparent diffusion coefficient before treatment predict the response to uterine artery embolization for adenomyosis?

Yaewon Park, Man Deuk Kim, Dae Chul Jung, Shin Jae Lee, Gyoungmin Kim, Sung Il Park, Jong Yun Won, Do Yun Lee

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

Objectives: To determine the usefulness of the apparent diffusion coefficient (ADC) in predicting response to uterine artery embolization (UAE) for symptomatic adenomyosis. Methods: A prospective study was performed on 25 patients who underwent diffusion-weighted (DW) magnetic resonance imaging (MRI) before UAE between June 2011 and December 2012. All patients underwent 3-month follow-up MRI after UAE using non-spherical polyvinyl alcohol (PVA) particles ranging from 150 to 500 μm. Quantitative measurement of the ADC was performed for each adenomyosis. Complete response and incomplete response were defined as ≥90 % or <90 %, respectively, of the non-perfusion area with adenomyosis at the follow-up MRI. The ADC values were compared between patients who achieved complete or incomplete response which was assessed according to the MRI findings after UAE. Results: Nineteen patients showed complete response, and six showed incomplete response. The ADC value ranged from 0.842 to 1.346 × 10-3 mm2/s (mean 1.075 ± 0.117). The mean ADC was 1.043 ± 0.237 in the complete response group and 1.176 ± 0.429 in the incomplete response group (0.012). Using a threshold of <1.147 × 10-3 mm2/s, the sensitivity and specificity of the ADC to predict success after UAE were 83.3 % and 84.2 %. Conclusion: The ADC of adenomyosis may potentially predict a successful response to UAE for adenomyosis. Key Points: • Pre-procedural MRI might help clinicians predict response of UAE in adenomyosis • ADC might help predict UAE outcomes in adenomyosis • MR predictors might be used to counsel patients with symptomatic adenomyosis

Original languageEnglish
Pages (from-to)1303-1309
Number of pages7
JournalEuropean Radiology
Volume25
Issue number5
DOIs
Publication statusPublished - 2015 May 1

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging

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