Diffusion basis spectrum imaging for identifying pathologies in MS subtypes

Shirani, Afsaneh; Sun, Peng; Trinkaus, Kathryn; Perantie, Dana C.; George, Ajit; Naismith, Robert T.; Schmidt, Robert E.; Song, Sheng‐Kwei; Cross, Anne H.

doi:10.1002/acn3.50903

Cited by 19 publications

(23 citation statements)

References 15 publications

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“…For MD, in the 6w group, the progressive demyelination eventually led to cell membrane damage, the expansion of the tissue gap, an increase in the diffusion of free water molecules, and extracellular edema, etc. 13 , 39 , in other words, it is manifested as an increase in MD 33 .…”

Section: Discussionmentioning

confidence: 99%

Demyelination and remyelination detected in an alternative cuprizone mouse model of multiple sclerosis with 7.0 T multiparameter magnetic resonance imaging

Ding

Guo

Chen

et al. 2021

Sci Rep

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The aim of this study was to investigate the mechanisms underlying demyelination and remyelination with 7.0 T multiparameter magnetic resonance imaging (MRI) in an alternative cuprizone (CPZ) mouse model of multiple sclerosis (MS). Sixty mice were divided into six groups (n = 10, each), and these groups were imaged with 7.0 T multiparameter MRI and treated with an alternative CPZ administration schedule. T2-weighted imaging (T2WI), susceptibility-weighted imaging (SWI), and diffusion tensor imaging (DTI) were used to compare the splenium of the corpus callosum (sCC) among the groups. Prussian blue and Luxol fast blue staining were performed to assess pathology. The correlations of the mean grayscale value (mGSV) of the pathology results and the MRI metrics were analyzed to evaluate the multiparameter MRI results. One-way ANOVA and post hoc comparison showed that the normalized T2WI (T2-nor), fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity (AD) values were significantly different among the six groups, while the mean phase (Φ) value of SWI was not significantly different among the groups. Correlation analysis showed that the correlation between the T2-nor and mGSV was higher than that among the other values. The correlations among the FA, RD, MD, and mGSV remained instructive. In conclusion, ultrahigh-field multiparameter MRI can reflect the pathological changes associated with and the underlying mechanisms of demyelination and remyelination in MS after the successful establishment of an acute CPZ-induced model.

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Section: Discussionmentioning

confidence: 99%

Demyelination and remyelination detected in an alternative cuprizone mouse model of multiple sclerosis with 7.0 T multiparameter magnetic resonance imaging

Ding

Guo

Chen

et al. 2021

Sci Rep

View full text Add to dashboard Cite

show abstract

Section: Discussionmentioning

confidence: 99%

“…Imaging modalities including diffusion tensor imaging and diffusion basis spectrum imaging have been proposed as in vivo markers for axonal loss in MS, but not yet shown to be specific and are not available for routine use. 19,20 The cause for the discrepancy in the presence of CSF abnormalities with different clinical courses of MS is unclear. The prevalence of oligoclonal bands across the clinical courses of MS is variable; 64.7% in radiologically isolated syndrome, 21 63%-73.3% in clinically isolated syndrome, [22][23][24] 82%-95% in relapsing remitting MS, 22,25,26 85% in SPMS, 22 and 78%-91.1% in PPMS.…”

Section: Discussionmentioning

confidence: 99%

Onset of progressive motor impairment in patients with critical central nervous system demyelinating lesions

et al. 2020

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Objective: To compare progressive motor impairment onset attributable to a “critical” central nervous system (CNS) demyelinating lesion in patients with highly restricted versus unlimited magnetic resonance imaging (MRI) lesion burden. Methods: We identified 135 patients with progressive motor impairment for ⩾1 year attributable to a “critical” demyelinating lesion with: MRI burden of 1 lesion (“progressive solitary sclerosis”), 2–5 lesions (“progressive paucisclerosis”), or unrestricted (>5) lesions and “progressive unilateral hemiparesis.” Neuroradiology review of brain and spinal cord MRI documented unequivocally demyelinating lesions. Results: A total of 33 (24.4%) patients had progressive solitary sclerosis; 56 (41.5%) patients had progressive paucisclerosis; and 46 (34.1%) patients had progressive unilateral hemiparesis. Median age at onset of progressive motor impairment was younger in progressive solitary sclerosis (49 years; range 24–73) and progressive paucisclerosis (50 years; range 30–64) than in progressive unilateral hemiparesis (54 years; range 39–77; p = 0.02 and p = 0.003, respectively). Within progressive unilateral hemiparesis, motor-progression onset was similar between those with 4–10, 11–20, or >20 brain lesions (55, 54, 53 years of age, respectively; p = 0.44). Conclusion: Motor-progression age is similar, but paradoxically earlier, in cohorts with highly restricted CNS lesion burden than in those with unrestricted lesion burden with progressive unilateral hemiparetic MS. The “critical” demyelinating lesion rather than total brain MRI lesion burden is the major contributor to motor-progression onset in these cohorts.

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“…Clinical Application. Shirani et al 28 applied DBSI in patients with relapsing-remitting MS (n ¼ 22, disease duration ¼ 2.0-18.8 years), secondary-progressive MS (n = 16, disease duration ¼ 15.4-39.0 years), and primary-progressive MS (n ¼ 17, disease duration ¼ 6.5-18.3 years). They used recursive partitioning, a nonparametric decision tree-based regression and classification, to assess the ability of DBSIderived metrics to classify patients with different disease subtypes.…”

Section: Diffusion Basis Spectrum Imagingmentioning

confidence: 99%

Advanced Multicompartment Diffusion MRI Models and Their Application in Multiple Sclerosis

Lakhani

Schilling

et al. 2020

AJNR Am J Neuroradiol

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Conventional MR imaging techniques are sensitive to pathologic changes of the brain and spinal cord seen in MS, but they lack specificity for underlying axonal and myelin integrity. By isolating the signal contribution from different tissue compartments, newly developed advanced multicompartment diffusion MR imaging models have the potential to detect specific tissue subtypes and associated injuries with increased pathologic specificity. These models include neurite orientation dispersion and density imaging, diffusion basis spectrum imaging, multicompartment microscopic diffusion MR imaging with the spherical mean technique, and models enabled through high-gradient diffusion MR imaging. In this review, we provide an appraisal of the current literature on the physics principles, histopathologic validation, and clinical applications of each of these techniques in both brains and spinal cords of patients with MS. We discuss limitations of each of the methods and directions that future research could take to provide additional validation of their roles as biomarkers of axonal and myelin injury in MS. ABBREVIATIONS: AD ¼ axial diffusivity; D ax ¼ intra-axonal diffusivity; DBSI ¼ diffusion basis spectrum imaging; FF ¼ fiber fraction; IVF ¼ isotropic volume fraction; NDI ¼ neurite density index (also V ic , V in , or f icvf ); NODDI ¼ neurite orientation dispersion and density imaging; ODI ¼ orientation dispersion index; RD ¼ radial diffusivity; SMT ¼ spherical mean technique; V ax ¼ intra-axonal volume fraction

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Diffusion basis spectrum imaging for identifying pathologies in MS subtypes

Cited by 19 publications

References 15 publications

Demyelination and remyelination detected in an alternative cuprizone mouse model of multiple sclerosis with 7.0 T multiparameter magnetic resonance imaging

Demyelination and remyelination detected in an alternative cuprizone mouse model of multiple sclerosis with 7.0 T multiparameter magnetic resonance imaging

Onset of progressive motor impairment in patients with critical central nervous system demyelinating lesions

Advanced Multicompartment Diffusion MRI Models and Their Application in Multiple Sclerosis

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