Perfusion fraction of diffusion-weighted MRI for predicting the presence of blood supply in ovarian masses
✍ Scribed by Satoru Morita; Shinya Kojima; Masami Hirata; Kazufumi Suzuki; Eiko Ueno
- Publisher
- John Wiley and Sons
- Year
- 2011
- Tongue
- English
- Weight
- 817 KB
- Volume
- 34
- Category
- Article
- ISSN
- 1053-1807
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✦ Synopsis
Abstract
Purpose:
To evaluate whether perfusion fraction (PF) calculated with diffusion‐weighted magnetic resonance imaging (MRI) predicts the presence of blood supply in ovarian masses.
Materials and Methods:
PFs of 92 ovarian lesions in 53 patients administered gadolinium were retrospectively calculated with diffusion‐weighted images at b‐values of 0, 500, and 1000 sec/mm^2^. PFs were compared between ovarian lesions, except for fat, with (n = 21) or without contrast enhancement (n = 57), using Student's t‐test and receiver operating characteristics (ROC) curve analysis. Lesion enhancement rates of contrast‐enhanced images at 30 and 180 seconds after gadolinium injection (ER~30sec~ and ER~180sec~) and PFs were compared using Pearson's correlation coefficient.
Results:
PFs of the lesions with contrast enhancement were significantly higher than those without contrast enhancement (0.22 ± 0.09 and 0.02 ± 0.08, respectively, P < 0.0001). The ROC curve identified the best cutoff point for PF at 0.135 (95.2% sensitivity and 94.7% specificity) as a predictor of the contrast enhancement effect. The area under the ROC curve was 0.984. PF correlated moderately with ER~30sec~ (0.62, y = 0.13x + 0.04, P < 0.0001) and ER~180sec~ (0.74, y = 0.13x + 0.03, P < 0.0001).
Conclusion:
PF calculated with diffusion‐weighted images can potentially predict blood supply in ovarian masses. J. Magn. Reson. Imaging 2011. © 2011 Wiley Periodicals, Inc.