Prediction of early response to uterine artery embolization in fibroids: value of MR signal intensity ratio

Magn Reson Imaging. 2015 Jan;33(1):51-5. doi: 10.1016/j.mri.2014.09.006. Epub 2014 Sep 28.

Abstract

Objective: To quantitatively assess magnetic resonance (MR) imaging findings that help predict early post-therapeutic response in fibroids following uterine artery embolization (UAE).

Methods: Fifteen patients with a total of 52 fibroids underwent UAE. The signal intensity ratio (SIR) on T1-, T2-, diffusion weighted and gadolinium-enhanced images was calculated by dividing the mean signal intensity of fibroids by that of the abdominal rectus muscle. Fibroids were divided into the two groups: affected (post-UAE volume reduction rate>median of all fibroids) and unaffected (<median rate). The SIRs were compared between the two groups. ROC analysis was used to evaluate the predictive performance for differentiating the affected from unaffected lesions.

Results: The SIRs of the affected group were significantly lower on T1-weighted images (0.85±0.1 vs 0.95±0.2) (P=0.0001), but higher on T2-weighted (1.30±0.6 vs 1.12±0.9) (P=0.026) and gadolinium-enhanced images (1.51±0.2 vs 1.20±0.4) (P=0.0002) than those of the unaffected group. There was no significant difference in ADC values between the two groups (P=0.510). The sensitivity, specificity, and area under the ROC curve (AUC) in the prediction of the affected lesions were 92%, 50%, and 0.712 with SIR on T1-weighted images, and 85%, 62%, and 0.731 with SIR on gadolinium-enhanced images, respectively.

Conclusions: The SIRs on T1-weighted images and gadolinium-enhanced images were useful for the prediction of the changes in size of fibroids responding to UAE.

Keywords: Magnetic resonance imaging; Signal intensity ratio; Uterine artery embolization; Uterine fibroid.

MeSH terms

  • Adult
  • Area Under Curve
  • Female
  • Humans
  • Image Processing, Computer-Assisted
  • Leiomyoma / pathology*
  • Leiomyoma / therapy*
  • Magnetic Resonance Imaging*
  • Middle Aged
  • Pattern Recognition, Automated
  • ROC Curve
  • Retrospective Studies
  • Signal Processing, Computer-Assisted
  • Treatment Outcome
  • Uterine Artery Embolization*