Literature DB >> 30040038

Quantitative Susceptibility MRI to Detect Brain Iron in Amyotrophic Lateral Sclerosis.

Julio Acosta-Cabronero1, Judith Machts1, Stefanie Schreiber1, Susanne Abdulla1, Katja Kollewe1, Susanne Petri1, Nicola Spotorno1, Joern Kaufmann1, Hans-Jochen Heinze1, Reinhard Dengler1, Stefan Vielhaber1, Peter J Nestor1.   

Abstract

Purpose To investigate the whole-brain landscape of iron-related abnormalities in amyotrophic lateral sclerosis (ALS) by using the in vivo MRI technique of quantitative susceptibility mapping (QSM). Materials and Methods For this prospective study, 28 patients with ALS (mean age, 61 years; age range, 43-77 years; 18 men [mean age, 61 years; range, 43-77 years] and 10 women [mean age, 61 years; range, 47-74 years]) recruited between January 17, 2014, and September 4, 2015, and 39 matched control subjects (mean age, 61 years; age range, 39-77 years; 24 men [mean age, 62 years; range, 39-77 years] and 15 women [mean age, 59 years; range, 39-73 years]) were examined by using structural and susceptibility 3.0-T MRI techniques. Group data were cross sectionally compared with family-wise error (FWE) corrections by using voxel-based morphometry (random-field theory), cortical thickness analysis (Monte Carlo simulated), subcortical volumetry (Bonferroni-corrected Wilcoxon rank-sum testing), and QSM analysis (cluster-enhanced whole-brain permutation testing and Bonferroni-corrected rank-sum testing in regions of interest). In patients with ALS, a potential relationship between diffusion and susceptibility measurements in the corticospinal tracts (CSTs) was also examined by using Spearman rank-correlation tests. Results Conventional structural measures failed to identify atrophy in the present cohort (FWE P > .05). However, QSM identified several whole-brain abnormalities (FWE P < .05) in ALS. Regionally, higher susceptibility (expressed as means in parts per million ± standard errors of the mean) was confirmed in the motor cortex (ALS = 0.0188 ± 0.0003, control = 0.0173 ± 0.0003; P < .001), the left substantia nigra (ALS = 0.127 ± 0.004, control = 0.113 ± 0.003; P = .008), the right substantia nigra (ALS = 0.141 ± 0.005, control = 0.120 ± 0.003; P < .001), the globus pallidus (ALS = 0.086 ± 0.003, control = 0.075 ± 0.002; P = .003), and the red nucleus (ALS = 0.115 ± 0.004, control = 0.098 ± 0.003; P < .001). Lower susceptibility was found in CST white matter (ALS = -0.047 ± 0.001, control = -0.043 ± 0.001; P = .01). Nigral and pallidal QSM values were cross correlated in ALS (ρ2 = 0.42, P < .001), a phenomenon visually traceable in many individual patients. QSM in the CST in ALS also correlated with diffusion-tensor metrics in this tract (ρ2 = 0.25, P = .007). Conclusion Whole-brain MRI quantitative susceptibility mapping analysis is sensitive to tissue alterations in amyotrophic lateral sclerosis that may be relevant to pathologic changes. © RSNA, 2018.

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Year:  2018        PMID: 30040038      PMCID: PMC6166868          DOI: 10.1148/radiol.2018180112

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


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7.  Dysregulation of iron homeostasis in the CNS contributes to disease progression in a mouse model of amyotrophic lateral sclerosis.

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8.  In Vivo MRI Mapping of Brain Iron Deposition across the Adult Lifespan.

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9.  Effects of white matter microstructure on phase and susceptibility maps.

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10.  Structural and diffusion imaging versus clinical assessment to monitor amyotrophic lateral sclerosis.

Authors:  Arturo Cardenas-Blanco; Judith Machts; Julio Acosta-Cabronero; Joern Kaufmann; Susanne Abdulla; Katja Kollewe; Susanne Petri; Stefanie Schreiber; Hans-Jochen Heinze; Reinhard Dengler; Stefan Vielhaber; Peter J Nestor
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  19 in total

1.  Serial assessment of iron in the motor cortex in limb-onset amyotrophic lateral sclerosis using quantitative susceptibility mapping.

Authors:  Anjan Bhattarai; Zhaolin Chen; Phillip G D Ward; Paul Talman; Susan Mathers; Thanh G Phan; Caron Chapman; James Howe; Sarah Lee; Yennie Lie; Gary F Egan; Phyllis Chua
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2.  Iron quantitative analysis of motor combined with bulbar region in M1 cortex may improve diagnosis performance in ALS.

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Review 5.  The Relevancy of Data Regarding the Metabolism of Iron to Our Understanding of Deregulated Mechanisms in ALS; Hypotheses and Pitfalls.

Authors:  Camille Petillon; Rudolf Hergesheimer; Hervé Puy; Philippe Corcia; Patrick Vourc'h; Christian Andres; Zoubida Karim; Hélène Blasco
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6.  Aberrations of biochemical indicators in amyotrophic lateral sclerosis: a systematic review and meta-analysis.

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7.  Methods for quantitative susceptibility and R2* mapping in whole post-mortem brains at 7T applied to amyotrophic lateral sclerosis.

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Journal:  Neuroimage       Date:  2020-08-01       Impact factor: 6.556

8.  A robust multi-scale approach to quantitative susceptibility mapping.

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9.  European Ultrahigh-Field Imaging Network for Neurodegenerative Diseases (EUFIND).

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10.  Relationship between cortical iron and tau aggregation in Alzheimer's disease.

Authors:  Nicola Spotorno; Julio Acosta-Cabronero; Erik Stomrud; Björn Lampinen; Olof T Strandberg; Danielle van Westen; Oskar Hansson
Journal:  Brain       Date:  2020-05-01       Impact factor: 13.501

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