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Objective: The purpose of this article is to discuss classic applications in diffusion-weighted imaging (DWI) in demyelinating disease and progression of DWI in the near future., Conclusion: DWI is an advanced technique used in the follow-up of demyelinating disease patients, focusing on the diagnosis of a new lesion before contrast enhancement. With technical advances, diffusion-tensor imaging; new postprocessing techniques, such as tract-based spatial statistics; new ways of calculating diffusion, such as kurtosis; and new applications for DWI and its spectrum are about to arise.

Diffusion-weighted imaging has been used extensively in clinical practice for the early diagnosis of central nervous system conditions that restrict the diffusion of water molecules because it provides information about tumor cellularity or abscesses containing viscous fluid. DTI can detect brain lesions before any conventional imaging. Even though the role of these modalities is well defined for many neurologic lesions that affect the brain, its clinical application in spinal cord diseases is increasing. This article discusses the several central nervous system conditions that may be diagnosed with diffusion imaging., (Copyright © 2011. Published by Elsevier Inc.)

Multiple sclerosis (MS) is considered the most common inflammatory autoimmune neurologic disorder and the most frequent cause of nontraumatic neurologic disability in young and middle-age adults. This article reviews the basic features of its magnetic resonance (MR) imaging lesions and, primarily, the use of diffusion MR imaging, which is increasingly applied to assess patients with MS, not only to investigate plaques but also the normal-appearing white matter, gray matter, optic nerve, and spinal cord, because of its ability to detect and quantify disease-related pathologic conditions of the central nervous system., (Copyright © 2011 Elsevier Inc. All rights reserved.)

For over 20 years, conventional MR imaging has been used for assessing brain tumors. However, conventional MR imaging tends to underestimate the extent of the tumor, perhaps leading to suboptimal treatment. New MR imaging tools have been widely used to determine the grade, heterogeneity, and extent of brain tumors. Diffusion-weighted imaging has been studied extensively, helping in tumor grading, differential diagnosis, and postoperative evaluation. Diffusion tensor imaging can apparently delineate more accurately the tumor versus the infiltrating tumor between the peritumoral edema and the normal brain parenchyma. This article shows the main clinical applications of these sequences., (Copyright © 2011 Elsevier Inc. All rights reserved.)

Diffusion-weighted magnetic resonance imaging (DWI) provides image contrasts that are different from conventional magnetic resonance techniques. DWI is particularly sensitive for detecting acute ischemic stroke, but it also has many other clinical applications, including the evaluation of central nervous system (CNS) infections. This article addresses the role of DWI in the differential diagnosis of CNS infections, and discusses the most common DWI findings for each type of infection., (Copyright © 2011. Published by Elsevier Inc.)

Objective: To analyze and compare cerebral white matter tracts through diffusion tensor imaging in autistic and normal children., Methods: This is a case-control study on a sample of eight male, right-handed children diagnosed with autism according to Diagnostic and Statistical Manual of Mental Disorders-4th Edition criteria, and eight healthy age- and sex-matched controls. Imaging studies were performed on a 1.5-T scanner (Symphony Maestro Class, Siemens, Erlangen, Germany). Fractional anisotropy was calculated for the frontopontine and corticospinal tracts, frontal subcortical white matter, anterior cingulate, corpus callosum, striatum, internal capsule, optic radiation, superior and inferior longitudinal fascicles, and cerebellum. Analysis of significance was based on analysis of variance test for the mean fractional anisotropy values., Results: Median age of cases was 9.53 +/- 1.83 years, and of controls, 9.57 +/- 1.36 years. Diffusion tensor imaging findings included significant reduction of fractional anisotropy in the anterior corpus callosum (P= .008), right corticospinal tract (P= .044), posterior limb of right and left internal capsules (P= .003 and .049, respectively), left superior cerebellar peduncle (P= .031), and right and left middle cerebellar peduncles (P= .043 and .039, respectively) in autistic children., Conclusions: The diffusion tensor imaging findings in children with autistic disorder suggest impairment of white matter microstructure, possibly associated with reduced connectivity in corpus callosum, internal capsule, and superior and middle cerebellar peduncles.

Objective: To evaluate the fractional anisotropy (FA) values of the multiple sclerosis (MS) plaques and normal-appearing cervical spinal cord (NASC) by diffusion tensor MRI imaging (DTI)., Method: Forty-one patients with relapsing-remising MS and 37 controls were evaluated. All MRI exams were performed using a conventional protocol, as well as diffusion tensor MR imaging. Regions of interest were placed within the spinal cord lesions and in the normal appearing spinal cord adjacent to the plaque., Results: The FA values were statistically reduced in the plaques compared to the surrounding NASC and to equivalent location in controls. A reduction in FA values was also observed in the spinal cord of MS patients without visible lesions on T2WI., Conclusion: We observed reduced fractional anisotropy in the demyelinating plaques and in the NASC of MS patients, corroborating the hypothesis that the histological extension of the MS lesions is more severe than the abnormalities seen in the conventional MRI sequences.

Objective: The purpose of this study was to evaluate the fractional anisotropy values of several white matter tracts with the aim of differentiating a healthy population from persons with mild cognitive impairment or Alzheimer's disease., Subjects and Methods: Seventy-nine patients with memory impairment and 16 volunteer controls participated in the study. MRI was performed with a 1.5-T system. Conventional MR images and diffusion tensor images were obtained for all participants. The diffusion tensor imaging data were postprocessed, and low b-value, fractional anisotropy, and fractional anisotropy color-coded maps were calculated. With the three maps as an anatomic reference, fractional anisotropy was measured for hippocampal formations, superior longitudinal fascicles, posterior cingulate gyri, and the splenium of the corpus callosum. Kruskal-Wallis and Steel-type multiple-comparison nonparametric tests were performed for the statistical analysis., Results: The fractional anisotropy values for the splenium of the corpus callosum, bilateral posterior cingulate gyri, and bilateral superior longitudinal fascicles of patients with mild cognitive impairment and those with probable Alzheimer's disease were significantly lower than the values of controls. No differences were found in hippocampal formations in any group. No significant difference was found in fractional anisotropy values in comparisons of mild cognitive impairment versus possible Alzheimer's disease and probable Alzheimer's disease or comparisons of probable Alzheimer's disease and possible Alzheimer's disease., Conclusion: Diffusion tensor imaging is a promising technique for the evaluation of patients with probable mild cognitive impairment. Early detection of the disease expands the treatment options, increasing the likelihood of a good clinical response and enhancing the quality of life of patients and their relatives. Further studies with larger populations are needed to confirm the role of diffusion tensor imaging in the evaluation of memory impairment.