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Discrimination of gray matter volume reduction and white matter hyperintensities on diffusion-tensor MR imaging.
To determine whether gray matter volume (GMV) and white matter hyperintensities (WMHs) on diffusion-tensor magnetic resonance (MR) images have different origins and to evaluate the diagnostic value of this MR technique for differentiating among different types of WMHs. This retrospective study had institutional review board approval, and informed consent was waived. A total of 139 consecutive patients with WMHs at 1.5-T diffusion-tensor MR imaging were included. Types of WMHs were classified as periventricular, deep, and basal ganglia (BG). Mean fractional anisotropy (FA) and trace were calculated for normal-appearing white matter (NAWM) and WMHs, and mean diffusivity (MD) values were calculated for NAWM and the 3 types of WMHs. GMV was calculated by normalizing it by the intracranial volume. The correlation between the 1- and 2-sided areas under the receiver operating characteristic (ROC) curves for FA, trace, MD, and GMV were evaluated. The mean FA, trace, MD, and GMV of WMHs (n = 21) were significantly lower than those of NAWM. The mean FA and trace of the periventricular WMHs were significantly lower than those of the deep WMHs. The mean MD and GMV of the BG WMHs were significantly higher than those of the deep and periventricular WMHs. The correlation between the 1- and 2-sided areas under the ROC curves for FA, trace, MD, and GMV was 0.675, 0.819, 0.740, and 0.840, respectively. FA and trace were the best predictors of WMHs. MD and GMV were the best predictors for BG WMHs.Lady Rochdale's First Tea Party
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