Journal of neuroimaging : official journal of the American Society of Neuroimaging
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Comparative Study
Dynamic Contrast-Enhanced Perfusion MRI and Diffusion-Weighted Imaging in Grading of Gliomas.
Accurate glioma grading is crucial for treatment planning and predicting prognosis. We performed a quantitative volumetric analysis to assess the diagnostic accuracy of histogram analysis of diffusion-weighted imaging (DWI) and dynamic contrast-enhanced (DCE) T1-weighted perfusion imaging in the preoperative evaluation of gliomas. ⋯ When derived from whole-tumor histogram analysis, DCE-MRI perfusion parameters performed better than ADC in noninvasively discriminating low- from high-grade gliomas.
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The Qureshi grading scheme is an effective classification system for evaluating the severity of acute arterial occlusion. However, this scheme is of limited utility because it is based on invasive angiography. In this study, we assessed whether a relationship between a noninvasive Qureshi score, based on magnetic resonance angiography (MRA) or computed tomography angiography (CTA), and 90-day functional outcome could be observed in patients with acute ischemic stroke. ⋯ The noninvasive Qureshi scheme using MRA or CTA provides meaningful information about long-term functional outcomes in patients with acute ischemic stroke.
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Apparent diffusion coefficient (ADC) values assist differentiating malignancy grades in pediatric cerebellar tumors. Previous studies reported the significance of ADC measurements within the solid, contrast-enhancing tumor component (SCT). These measurements take into account only a part of the tumor. In this study, we compared ADC measurements of the SCT versus entire tumor (ET). ⋯ A rigorous ADC measurement of the SCT has a higher sensitivity and specificity in predicting tumor grade compared to ADC measurement of the ET.
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The clinical implications of white matter hyperintensities (WMH) in non-demented Parkinson's disease (PD) have not been thoroughly examined. To address this, we investigated the spatial distribution of WMH and their regional predilection in non-demented patients with mild PD. ⋯ Voxel-wise LPM analysis revealed differences in the spatial distribution of WMH between PD-MCI and PD-NCI patients, particularly in the periventricular regions. A more widespread extent of WMH might be indicative of cognitive deterioration. Our findings warrant further longitudinal investigation into the importance of WMH spatial distribution as a predictor for conversion from PD to PD with dementia.
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Amnestic mild cognitive impairment (aMCI) is associated with the risk of Alzheimer's disease (AD). Although diffusion tensor imaging (DTI)-based fractional anisotropy (FA) analyses have been used to evaluate white matter changes in patients with AD, it remains unknown how FA values change during the conversion of aMCI to AD. This study aimed to elucidate the prediction of conversion to AD and cognitive decline by FA values in uncinate fasciculus (UF) in aMCI patients. ⋯ These results suggested that FA values in the right UF might be an effective predictor of conversion of aMCI to AD.