モリタ　サトル   Satoru Morita   森田　賢    所属   医学部 医学科（東京女子医科大学病院）    職種   講師
論文種別	原著
言語種別	英語
査読の有無	査読あり
表題	Perfusion fraction of diffusion-weighted MRI for predicting the presence of blood supply in ovarian masses
掲載誌名	正式名：J Magn Reson Imaging ISSNコード：1522-2586
巻・号・頁	34(5),pp.1131-6
著者・共著者	Morita, S., Kojima, S., Hirata, M., Suzuki, K., Ueno, E.
担当区分	筆頭著者,責任著者
発行年月	2011
概要	To evaluate whether perfusion fraction (PF) calculated with diffusion-weighted magnetic resonance imaging (MRI) predicts the presence of blood supply in ovarian masses.|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.|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).|PF calculated with diffusion-weighted images can potentially predict blood supply in ovarian masses.
DOI	10.1002/jmri.22695
文献番号	21932356