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      Diffusion tensor imaging in anterior interosseous nerve syndrome – functional MR Neurography on a fascicular level

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          Abstract

          Purpose

          By applying diffusor tensor imaging (DTI) in patients with anterior interosseous nerve syndrome (AINS), this proof of principle study aims to quantify the extent of structural damage of a peripheral nerve at the anatomical level of individual fascicles.

          Methods

          In this institutional review board approved prospective study 13 patients with spontaneous AINS were examined at 3 Tesla including a transversal T2-weighted turbo-spin-echo and a spin-echo echo-planar-imaging pulse sequence of the upper arm level. Calculations of quantitative DTI parameters including fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity (AD) for median nerve lesion and non-lesion fascicles as well as ulnar and radial nerve were obtained. DTI values were compared to each other and to a previously published dataset of 58 healthy controls using one-way Analysis of Variance with Bonferroni correction and p-values <.05 were considered significant. Receiver operating characteristic (ROC) curves were performed to assess diagnostic accuracy.

          Results

          FA of median nerve lesion fascicles was decreased compared to median nerve non-lesion fascicles, ulnar nerve and radial nerve while MD, RD, and AD was increased ( p < .001 for all parameters). Compared to median nerve values of healthy controls, lesion fascicles showed a significant decrease in FA while MD, RD, and AD was increased (p < .001 for all parameters). FA of median nerve non-lesion fascicles showed a weak significant decrease compared to healthy controls ( p < .01) while there was no difference in MD, RD, and AD. ROC analyses revealed an excellent diagnostic accuracy of FA, MD and RD in the discrimination of median nerve lesion and non-lesion fascicles in AINS patients as well as in the discrimination of lesion fascicles and normative median nerve values of healthy controls.

          Conclusion

          By applying this functional MR Neurography technique in patients with AINS, this proof of principle study demonstrates that diffusion tensor imaging is feasible to quantify structural nerve injury at the anatomical level of individual fascicles.

          Highlights

          • DTI is capable to quantify structural nerve injury on a fascicular level.

          • Lesion- and non-lesion fascicles can be discriminated at high diagnostic accuracy.

          • FA seems to be to most sensitive parameter in quantitative DTI.

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          Most cited references26

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          Understanding diffusion MR imaging techniques: from scalar diffusion-weighted imaging to diffusion tensor imaging and beyond.

          The complex structural organization of the white matter of the brain can be depicted in vivo in great detail with advanced diffusion magnetic resonance (MR) imaging schemes. Diffusion MR imaging techniques are increasingly varied, from the simplest and most commonly used technique-the mapping of apparent diffusion coefficient values-to the more complex, such as diffusion tensor imaging, q-ball imaging, diffusion spectrum imaging, and tractography. The type of structural information obtained differs according to the technique used. To fully understand how diffusion MR imaging works, it is helpful to be familiar with the physical principles of water diffusion in the brain and the conceptual basis of each imaging technique. Knowledge of the technique-specific requirements with regard to hardware and acquisition time, as well as the advantages, limitations, and potential interpretation pitfalls of each technique, is especially useful. (c) RSNA, 2006.
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            Toward accurate diagnosis of white matter pathology using diffusion tensor imaging.

            Diffusion tensor imaging (DTI) has been widely applied to investigate injuries in the central nervous system (CNS) white matter (WM). However, the underlying pathological correlates of diffusion changes have not been adequately determined. In this study the coregistration of histological sections to MR images and a pixel-based receiver operating characteristic (ROC) analysis were used to compare the axial (lambda( parallel)) and radial (lambda( perpendicular)) diffusivities derived from DTI and histological markers of axon (phosphorylated neurofilament, SMI-31) and myelin (Luxol fast blue (LFB)) integrity, respectively, in two different patterns of injury to mouse spinal cord (SC) WM. In contusion SC injury (SCI), a decrease in lambda( parallel) matched the pattern of axonal damage with high accuracy, but lambda( perpendicular) did not match the pattern of demyelination detected by LFB. In a mouse model of multiple sclerosis (MS), lambda( perpendicular) and lambda( parallel) did not match the patterns of demyelination or axonal damage, respectively. However, a region of interest (ROI) analysis suggested that lambda( perpendicular)-detected demyelination paralleled that observed with LFB, and lambda( parallel) decreased in both regions of axonal damage and normal-appearing WM (NAWM) as visualized by SMI-31. The results suggest that directional diffusivities may reveal abnormalities that are not obvious with SMI-31 and LFB staining, depending on the type of injury.
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              High resolution diffusion tensor imaging of axonal damage in focal inflammatory and demyelinating lesions in rat spinal cord.

              Inflammation, demyelination, gliosis and axonal degeneration are pathological hallmarks of multiple sclerosis (MS) and experimental autoimmune encephalomyelitis. Axonal damage is thought to contribute to irreversible damage and functional impairment, but is difficult to quantify. Conventional MRI has been used to assess the inflammatory and demyelinating aspects of MS lesions, but more sensitive and specific methods are needed to identify axonal damage to monitor disease progression and to determine efficacy of putative neuroprotective agents. We used high resolution diffusion tensor imaging (DTI) and fibre tracking to examine the spinal cord in rats with focal dorsal column inflammatory or demyelinating lesions to determine whether DTI measures can be used to detect pathology at the site of the focal lesion and to measure axonal damage in tracts distal to the focal lesion. Distant from the focal lesion, total axon counts, degenerating axon counts and SMI-31 staining, but not Luxol fast blue staining, were significantly correlated with fractional anisotropy, axial diffusivity and radial diffusivity, all of which are derived from the DTI data. These data suggest that high resolution DTI may be a more sensitive method than conventional imaging for detecting axonal damage at sites distant from inflammation.
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                Author and article information

                Contributors
                Journal
                Neuroimage Clin
                Neuroimage Clin
                NeuroImage : Clinical
                Elsevier
                2213-1582
                09 January 2019
                2019
                09 January 2019
                : 21
                : 101659
                Affiliations
                [a ]Department of Neuroradiology, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120 Heidelberg, Germany
                [b ]Department of Neuroradiology, Würzburg University Hospital, Josef-Schneider-Str. 11, 97080 Würzburg, Germany
                [c ]Center for Neurology and Clinical Neurophysiology, Neuer Wall 19, 20354 Hamburg, Germany
                [d ]Center for Radiology Dia.log, Vinzenz-von-Paul Str. 8, 84503 Altötting, Germany
                Author notes
                [* ]Corresponding author at: Department of Neuroradiology, Neurological University Clinic, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69, 120 Heidelberg, Germany. Tim.godel@ 123456med.uni-heidelberg.de
                Article
                S2213-1582(19)30009-9 101659
                10.1016/j.nicl.2019.101659
                6412076
                30642759
                0d851170-cb4c-49b9-bd08-7e79a89ac0bc
                © 2019 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 3 October 2018
                : 21 December 2018
                : 4 January 2019
                Categories
                Article

                anterior interosseous nerve syndrome,diffusion tensor imaging,functional mr neurography,ains, anterior interosseous nerve syndrome,ain), anterior interosseous nerve,mrn, mr neurography,dti, diffusor tensor imaging,tse, turbo spin echo,epi, echo-planar-imaging,fa, fractional anisotropy,md, mean diffusivity,rd, radial diffusivity,ad, axial diffusivity,anova, analysis of variance,ci, confidence interval,roc, receiver operating characteristic

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