Background: Transcranial sonography is beside magnetic resonance imaging (MRI) and computed tomography, a well-established imaging method for evaluation of brain parenchyma and already implicated in various neurological disorders as bed-side investigation possibility in clinical routine. The aim of this study was the qualitative assessment detecting vascular white matter hyperintensities (WMHs), with ultrasound fusion-imaging technique (UFI) and to find the optimal location for their visualization in accordance to the grade of WMHs and to possibly providing a standardized protocol for clinical use.
Results: 29 patients with WMHs of variable degree quantified according to Fazekas grading scale (n = 13 I; n = 9 II; n = 7 III) and 11 subjects with normal findings on MRI were identified for further analysis.
Background: Amyotrophic lateral sclerosis (ALS) is a fatal, progressive neurodegenerative disorder, characterised by widespread white matter damage. There is growing evidence that disturbances in iron metabolism contribute to white matter alterations.
Materials & Methods: We analysed the data of susceptibility-weighted imaging (SWI) of white matter in a cohort of 27 patients with ALS and 30 healthy age-matched controls.
Background And Purpose: To examine the possible effects of intravenous thrombolysis on the time course of the apparent diffusion coefficient in the patients with acute middle cerebral artery infarct.
Methods: Serial MRI data with all in all 190 MR examinations including diffusion-weighted imaging (DWI), apparent diffusion coefficient map (ADC map) and T2 -weighted imaging (T2 w) of 74 patients with initial intravenous thrombolysis (study group; N = 37) or conservative stroke treatment (control group; N = 37) were retrospectively analyzed. A trend function was fitted to the relative values (rADC, rDWI, rT2 w) to model an objective, general time course.
Amyotrophic lateral sclerosis (ALS) is characterized by progressive loss of upper and lower motor neurons. Advanced MRI techniques such as diffusion tensor imaging have shown great potential in capturing a common white matter pathology. However the sensitivity is variable and diffusion tensor imaging is not yet applicable to the routine clinical environment.
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