Literature DB >> 24384338

Accuracy of Conventional MRI in ALS.

Aparna Gupta, Thanh Binh Nguyen, Santanu Chakraborty, Pierre R Bourque.   

Abstract

BACKGROUND: There is currently no definite neuroimaging test to detect amyotrophic lateral sclerosis (ALS), which leads to significant delay in diagnosis, particularly if one takes into account the rapidity of disease evolution. Hyperintensity of the corticospinal tracts (CST) on T2 or fluid-attenuated inversion recovery (FLAIR) weighted magnetic resonance imaging (MRI) has been well described, but data on sensitivity and specificity in larger series is lacking to help guide its application to clinical care.
METHODS: We analyzed clinical and MRI data from 64 patients with a definite retrospective diagnosis of ALS. In this case-control study, two experienced blinded neuroradiologists systematically assessed defined rostrocaudal segments of the intracranial course of the CST.
RESULTS: The overall sensitivity and specificity of conventional MRI for the diagnosis of ALS were 48% and 76% respectively. Highest specificities for CST hyperintensity were noted for the subcortical white matter (92%), centrum semiovale (88%) and medullary pyramids (92%). The lowest specificities were found for the cerebral peduncle (36%) and internal capsule (32%). We did not find a correlation with the rate of clinical progression, age of onset or the presence of upper motor neuron signs on examination.
CONCLUSION: Conventional MRI was not found to be a reliable diagnostic tool for ALS and it did not help predict clinical characteristics such as speed of evolution or prominence of upper motor neuron signs. Its main role in the setting of ALS should remain to help exclude alternative diagnostic considerations. A multimodal approach relying on newer functional and structural MRI techniques still needs to be developed and validated. Précision de l'IRM conventionnelle dans la SLA.

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Year:  2014        PMID: 24384338     DOI: 10.1017/s0317167100016267

Source DB:  PubMed          Journal:  Can J Neurol Sci        ISSN: 0317-1671            Impact factor:   2.104


  5 in total

1.  Alterations of Microstructure and Sodium Homeostasis in Fast Amyotrophic Lateral Sclerosis Progressors: A Brain DTI and Sodium MRI Study.

Authors:  M M El Mendili; A-M Grapperon; R Dintrich; J-P Stellmann; J-P Ranjeva; M Guye; A Verschueren; S Attarian; W Zaaraoui
Journal:  AJNR Am J Neuroradiol       Date:  2022-06-30       Impact factor: 4.966

2.  ALS blood expression profiling identifies new biomarkers, patient subgroups, and evidence for neutrophilia and hypoxia.

Authors:  William R Swindell; Colin P S Kruse; Edward O List; Darlene E Berryman; John J Kopchick
Journal:  J Transl Med       Date:  2019-05-22       Impact factor: 5.531

3.  Value of fluid-attenuated inversion recovery MRI data analyzed by the lesion segmentation toolbox in amyotrophic lateral sclerosis.

Authors:  Anna M Wirth; Siw Johannesen; Andrei Khomenko; Dobri Baldaranov; Tim-Henrik Bruun; Christina Wendl; Gerhard Schuierer; Mark W Greenlee; Ulrich Bogdahn
Journal:  J Magn Reson Imaging       Date:  2018-12-19       Impact factor: 4.813

4.  Structural magnetic resonance imaging findings and histopathological correlations in motor neuron diseases-A systematic review and meta-analysis.

Authors:  Charlotte Zejlon; Dominik Nakhostin; Sebastian Winklhofer; Athina Pangalu; Zsolt Kulcsar; Sebastian Lewandowski; Johannes Finnsson; Fredrik Piehl; Caroline Ingre; Tobias Granberg; Benjamin Victor Ineichen
Journal:  Front Neurol       Date:  2022-08-30       Impact factor: 4.086

5.  Measurement of structural integrity of the spinal cord in patients with amyotrophic lateral sclerosis using diffusion tensor magnetic resonance imaging.

Authors:  Maximilian Patzig; Katja Bochmann; Jürgen Lutz; Robert Stahl; Clemens Küpper; Thomas Liebig; Peter Reilich; Marianne Dieterich
Journal:  PLoS One       Date:  2019-10-29       Impact factor: 3.240

  5 in total

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