Premium
Perfusion fraction of diffusion‐weighted MRI for predicting the presence of blood supply in ovarian masses
Author(s) -
Morita Satoru,
Kojima Shinya,
Hirata Masami,
Suzuki Kazufumi,
Ueno Eiko
Publication year - 2011
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.22695
Subject(s) - medicine , nuclear medicine , receiver operating characteristic , magnetic resonance imaging , perfusion , gadolinium , effective diffusion coefficient , diffusion mri , area under the curve , contrast (vision) , radiology , chemistry , physics , organic chemistry , optics
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.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom