Literature DB >> 25524526

Role of diffusion tensor imaging or magnetic resonance spectroscopy in the diagnosis and disability assessment of amyotrophic lateral sclerosis.

Chanchan Liu1, Rifeng Jiang2, Xiyan Yi1, Wenzhen Zhu2, Bitao Bu3.   

Abstract

OBJECTIVE: To compare the results of magnetic resonance spectroscopy (MRS) and diffusion tensor imaging (DTI) in amyotrophic lateral sclerosis (ALS) patients.
METHODS: Nineteen ALS patients and thirteen age-matched healthy controls underwent MRS and DTI between October 2013 and July 2014. Fractional anisotropy (FA), apparent diffusion coefficient (ADC), N-acetylaspartate (NAA), choline (Cho), and creatine (Cr) were collected as the quantitative results of the imaging study. The ALS functional rating scale-revised (ALSFRS-R) and disease progression rate were evaluated to assess patients' disability. The imaging study results were compared between ALS patients and healthy controls. The relationship between disability assessment and imaging study results was analyzed.
RESULTS: NAA/Cr in the motor cortex and FA in the corticospinal tract (CST) of both sides were significantly lower in patients than controls. There was no significant difference between the two groups in Cho/Cr, tract length, tract volume, ADC or NAA. No relationship was found between ALSFRS-R and FA (r=0.243, p=0.316) in the right CST; NAA (r=0.095, p=0.699) or NAA/Cr (r=0.172, p=0.481) in the left motor cortex; or NAA (r=0.320, p=0.182) or NAA/Cr (r=0.193, p=0.492) in the right motor cortex. There was no relationship between the disease progression rate and FA, NAA, or NAA/Cr on either side.
CONCLUSION: NAA/Cr and FA can help diagnose ALS. Regional brain NAA/Cr and FA values could not assess the ALSFRS-R or disease progression rate.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  ALS functional rating scale-revised (ALSFRS-R); Amyotrophic lateral sclerosis (ALS); Corticospinal tract (CST); Diffusion tensor imaging (DTI); Disease progression rate; Magnetic resonance spectroscopy (MRS)

Mesh:

Year:  2014        PMID: 25524526     DOI: 10.1016/j.jns.2014.12.004

Source DB:  PubMed          Journal:  J Neurol Sci        ISSN: 0022-510X            Impact factor:   3.181


  10 in total

1.  Diagnostic contribution of magnetic resonance imaging in an atypical presentation of motor neuron disease.

Authors:  Lorenzo Ugga; Cinzia Coppola; Sirio Cocozza; Dario Saracino; Ferdinando Caranci; Francesco Tuccillo; Elisabetta Signoriello; Sara Casertano; Giuseppe Di Iorio; Enrico Tedeschi
Journal:  Quant Imaging Med Surg       Date:  2017-12

2.  Brain MR diffusion tensor imaging in Kennedy's disease.

Authors:  Francesco Garaci; Nicola Toschi; Simona Lanzafame; Girolama A Marfia; Simone Marziali; Alessandro Meschini; Francesca Di Giuliano; Giovanni Simonetti; Maria Guerrisi; Roberto Massa; Roberto Floris
Journal:  Neuroradiol J       Date:  2015-05-11

3.  Progressive Neurochemical Abnormalities in Cognitive and Motor Subgroups of Amyotrophic Lateral Sclerosis: A Prospective Multicenter Study.

Authors:  Daniel Ta; Abdullah Ishaque; Ojas Srivastava; Chris Hanstock; Peter Seres; Dean T Eurich; Collin Luk; Hannah Briemberg; Richard Frayne; Angela L Genge; Simon J Graham; Lawrence Korngut; Lorne Zinman; Sanjay Kalra
Journal:  Neurology       Date:  2021-06-14       Impact factor: 11.800

Review 4.  New developments and future opportunities in biomarkers for amyotrophic lateral sclerosis.

Authors:  Xueping Chen; Hui-Fang Shang
Journal:  Transl Neurodegener       Date:  2015-09-30       Impact factor: 8.014

5.  Ultra high-field (7tesla) magnetic resonance spectroscopy in Amyotrophic Lateral Sclerosis.

Authors:  Nazem Atassi; Maosheng Xu; Christina Triantafyllou; Boris Keil; Robert Lawson; Paul Cernasov; Elena Ratti; Christopher J Long; Sabrina Paganoni; Alyssa Murphy; Nouha Salibi; Ravi Seethamraju; Bruce Rosen; Eva-Maria Ratai
Journal:  PLoS One       Date:  2017-05-12       Impact factor: 3.240

Review 6.  Imaging Biomarkers for the Diagnosis and Prognosis of Neurodegenerative Diseases. The Example of Amyotrophic Lateral Sclerosis.

Authors:  Miguel Mazón; Juan Francisco Vázquez Costa; Amadeo Ten-Esteve; Luis Martí-Bonmatí
Journal:  Front Neurosci       Date:  2018-10-25       Impact factor: 4.677

Review 7.  Biomarkers in Motor Neuron Disease: A State of the Art Review.

Authors:  Nick S Verber; Stephanie R Shepheard; Matilde Sassani; Harry E McDonough; Sophie A Moore; James J P Alix; Iain D Wilkinson; Tom M Jenkins; Pamela J Shaw
Journal:  Front Neurol       Date:  2019-04-03       Impact factor: 4.003

Review 8.  The value of magnetic resonance imaging as a biomarker for amyotrophic lateral sclerosis: a systematic review.

Authors:  G Grolez; C Moreau; V Danel-Brunaud; C Delmaire; R Lopes; P F Pradat; M M El Mendili; L Defebvre; D Devos
Journal:  BMC Neurol       Date:  2016-08-27       Impact factor: 2.474

9.  Identification of Amyotrophic Lateral Sclerosis Based on Diffusion Tensor Imaging and Support Vector Machine.

Authors:  Qiu-Feng Chen; Xiao-Hong Zhang; Nao-Xin Huang; Hua-Jun Chen
Journal:  Front Neurol       Date:  2020-04-28       Impact factor: 4.003

Review 10.  Pathophysiological Underpinnings of Extra-Motor Neurodegeneration in Amyotrophic Lateral Sclerosis: New Insights From Biomarker Studies.

Authors:  David Reyes-Leiva; Oriol Dols-Icardo; Sonia Sirisi; Elena Cortés-Vicente; Janina Turon-Sans; Noemi de Luna; Rafael Blesa; Olivia Belbin; Victor Montal; Daniel Alcolea; Juan Fortea; Alberto Lleó; Ricard Rojas-García; Ignacio Illán-Gala
Journal:  Front Neurol       Date:  2022-01-18       Impact factor: 4.003

  10 in total

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