Magnetic Resonance Iron Imaging in Amyotrophic Lateral Sclerosis

被引:19
作者
Bhattarai, Anjan [1 ,2 ]
Egan, Gary F. [2 ]
Talman, Paul [3 ]
Chua, Phyllis [1 ,4 ]
Chen, Zhaolin [2 ]
机构
[1] Monash Univ, Monash Hlth, Sch Clin Sci, Dept Psychiat, Melbourne, Vic, Australia
[2] Monash Univ, Monash Biomed Imaging, Melbourne, Vic, Australia
[3] Barwon Hlth, Dept Neurosci, Geelong, Vic, Australia
[4] Calvary Hlth Care Bethlehem, Statewide Progress Neurol Serv, Melbourne, Vic, Australia
关键词
magnetic resonance imaging; amyotrophic lateral sclerosis; iron; quantitative susceptibility mapping; susceptibility weighted imaging;
D O I
10.1002/jmri.27530
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
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
引用
收藏
页码:1283 / 1300
页数:18
相关论文
共 100 条
[1]   Quantitative Susceptibility MRI to Detect Brain Iron in Amyotrophic Lateral Sclerosis [J].
Acosta-Cabronero, Julio ;
Machts, Judith ;
Schreiber, Stefanie ;
Abdulla, Susanne ;
Kollewe, Katja ;
Petri, Susanne ;
Spotorno, Nicola ;
Kaufmann, Joern ;
Heinze, Hans-Jochen ;
Dengler, Reinhard ;
Vielhaber, Stefan ;
Nestor, Peter J. .
RADIOLOGY, 2018, 289 (01) :195-203
[2]   Usefulness of SWI for the Detection of Iron in the Motor Cortex in Amyotrophic Lateral Sclerosis [J].
Adachi, Yuko ;
Sato, Noriko ;
Saito, Yuko ;
Kimura, Yukio ;
Nakata, Yasuhiro ;
Ito, Kimiteru ;
Kamiya, Kouhei ;
Matsuda, Hiroshi ;
Tsukamoto, Tadashi ;
Ogawa, Masahumi .
JOURNAL OF NEUROIMAGING, 2015, 25 (03) :443-451
[3]   Neuroimaging in amyotrophic lateral sclerosis: current and emerging uses [J].
Agosta, Federica ;
Spinelli, Edoardo Gioele ;
Filippi, Massimo .
EXPERT REVIEW OF NEUROTHERAPEUTICS, 2018, 18 (05) :395-406
[4]   Cardiovascular T2-star (T2*) magnetic resonance for the early diagnosis of myocardial iron overload [J].
Anderson, LJ ;
Holden, S ;
Davis, B ;
Prescott, E ;
Charrier, CC ;
Bunce, NH ;
Firmin, DN ;
Wonke, B ;
Porter, J ;
Walker, JM ;
Pennell, DJ .
EUROPEAN HEART JOURNAL, 2001, 22 (23) :2171-2179
[5]   Serial assessment of iron in the motor cortex in limb-onset amyotrophic lateral sclerosis using quantitative susceptibility mapping [J].
Bhattarai, Anjan ;
Chen, Zhaolin ;
Ward, Phillip G. D. ;
Talman, Paul ;
Mathers, Susan ;
Phan, Thanh G. ;
Chapman, Caron ;
Howe, James ;
Lee, Sarah ;
Lie, Yennie ;
Egan, Gary F. ;
Chua, Phyllis .
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY, 2020, 10 (07) :1465-+
[6]   DeepQSM - using deep learning to solve the dipole inversion for quantitative susceptibility mapping [J].
Bollmann, Steffen ;
Rasmussen, Kasper Gade Botker ;
Kristensen, Mads ;
Blendal, Rasmus Guldhammer ;
Ostergaard, Lasse Riis ;
Plocharski, Maciej ;
O'Brien, Kieran ;
Langkammer, Christian ;
Janke, Andrew ;
Barth, Markus .
NEUROIMAGE, 2019, 195 :373-383
[7]   ALS Pathogenesis and Therapeutic Approaches: The Role of Mesenchymal Stem Cells and Extracellular Vesicles [J].
Bonafede, Roberta ;
Mariotti, Raffaella .
FRONTIERS IN CELLULAR NEUROSCIENCE, 2017, 11
[8]  
Bowen BC, 2000, AM J NEURORADIOL, V21, P647
[9]   The Role of Iron in Amyotrophic Lateral Sclerosis [J].
Bu, Xian-Le ;
Xiang, Yang ;
Guo, Yansu .
BRAIN IRON METABOLISM AND CNS DISEASES, 2019, 1173 :145-152
[10]   Neurodegeneration in amyotrophic lateral sclerosis:: the role of oxidative stress and altered homeostasis of metals [J].
Carrì, MT ;
Ferri, A ;
Cozzolino, M ;
Calabrese, L ;
Rotilio, G .
BRAIN RESEARCH BULLETIN, 2003, 61 (04) :365-374