Literature DB >> 33586315

Magnetic Resonance Iron Imaging in Amyotrophic Lateral Sclerosis.

Anjan Bhattarai1,2, Gary F Egan2, Paul Talman3, Phyllis Chua1,4, Zhaolin Chen2.   

Abstract

Amyotrophic lateral sclerosis (ALS) results in progressive impairment of upper and lower motor neurons. Increasing evidence from both in vivo and ex vivo studies suggest that iron accumulation in the motor cortex is a neuropathological hallmark in ALS. An in vivo neuroimaging marker of iron dysregulation in ALS would be useful in disease diagnosis and prognosis. Magnetic resonance imaging (MRI), with its unique capability to generate a variety of soft tissue contrasts, provides opportunities to image iron distribution in the human brain with millimeter to sub-millimeter anatomical resolution. Conventionally, MRI T1-weighted, T2-weighted, and T2*-weighted images have been used to investigate iron dysregulation in the brain in vivo. Susceptibility weighted imaging has enhanced contrast for para-magnetic materials that provides superior sensitivity to iron in vivo. Recently, the development of quantitative susceptibility mapping (QSM) has realized the possibility of using quantitative assessments of magnetic susceptibility measures in brain tissues as a surrogate measurement of in vivo brain iron. In this review, we provide an overview of MRI techniques that have been used to investigate iron dysregulation in ALS in vivo. The potential uses, strengths, and limitations of these techniques in clinical trials, disease diagnosis, and prognosis are presented and discussed. We recommend further longitudinal studies with appropriate cohort characterization to validate the efficacy of these techniques. We conclude that quantitative iron assessment using recent advances in MRI including QSM holds great potential to be a sensitive diagnostic and prognostic marker in ALS. The use of multimodal neuroimaging markers in combination with iron imaging may also offer improved sensitivity in ALS diagnosis and prognosis that could make a major contribution to clinical care and treatment trials. LEVEL OF EVIDENCE: 2 TECHNICAL EFFICACY: Stage 3.
© 2021 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  amyotrophic lateral sclerosis; iron; magnetic resonance imaging; quantitative susceptibility mapping; susceptibility weighted imaging

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Substances:

Year:  2021        PMID: 33586315     DOI: 10.1002/jmri.27530

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  4 in total

1.  Iron quantitative analysis of motor combined with bulbar region in M1 cortex may improve diagnosis performance in ALS.

Authors:  Yifang Bao; Yan Chen; Sirong Piao; Bin Hu; Liqin Yang; Haiqing Li; Daoying Geng; Yuxin Li
Journal:  Eur Radiol       Date:  2022-08-11       Impact factor: 7.034

Review 2.  Cerebral Iron Deposition in Neurodegeneration.

Authors:  Petr Dusek; Tim Hofer; Jan Alexander; Per M Roos; Jan O Aaseth
Journal:  Biomolecules       Date:  2022-05-17

3.  Network diffusion model predicts neurodegeneration in limb-onset Amyotrophic Lateral Sclerosis.

Authors:  Anjan Bhattarai; Zhaolin Chen; Phyllis Chua; Paul Talman; Susan Mathers; Caron Chapman; James Howe; C M Sarah Lee; Yenni Lie; Govinda R Poudel; Gary F Egan
Journal:  PLoS One       Date:  2022-08-11       Impact factor: 3.752

4.  Combining structural and metabolic markers in a quantitative MRI study of motor neuron diseases.

Authors:  Antonietta Canna; Francesca Trojsi; Federica Di Nardo; Giuseppina Caiazzo; Gioacchino Tedeschi; Mario Cirillo; Fabrizio Esposito
Journal:  Ann Clin Transl Neurol       Date:  2021-08-02       Impact factor: 4.511

  4 in total

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