2015年1月
Prediction of early response to uterine artery embolization in fibroids: Value of MR signal intensity ratio
MAGNETIC RESONANCE IMAGING
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- 巻
- 33
- 号
- 1
- 開始ページ
- 51
- 終了ページ
- 55
- 記述言語
- 英語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.1016/j.mri.2014.09.006
- 出版者・発行元
- ELSEVIER SCIENCE INC
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 (130 +/- 0.6 vs 1.12 +/- 0.9) (P = 0.026) and gadolinium-enhanced images (1.51 +/- 02 vs 120 +/- 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. (C) 2014 Elsevier Inc. All rights reserved.
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 (130 +/- 0.6 vs 1.12 +/- 0.9) (P = 0.026) and gadolinium-enhanced images (1.51 +/- 02 vs 120 +/- 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. (C) 2014 Elsevier Inc. All rights reserved.
- リンク情報
- ID情報
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- DOI : 10.1016/j.mri.2014.09.006
- ISSN : 0730-725X
- eISSN : 1873-5894
- PubMed ID : 25271135
- Web of Science ID : WOS:000347143300006