Longitudinal Brain Volume Measurement in Multiple Sclerosis

Kalkers, Nynke F.; Ameziane, Najim; Bot, Joost; Minneboo, A.; Polman, Chris H.; Barkhof, Frederik

doi:10.1001/archneur.59.10.1572

Cited by 138 publications

(42 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Our findings of faster whole brain atrophy in SPMS, PPMS, and RRMS than CIS, who, in turn, showed higher cortical atrophy than HCs, are similar to previous studies on longitudinal whole brain atrophy,5, 53, 54 regional atrophy,17, 55, 56, 57 and pathology of MS phenotypes,2, 47 Our study confirms our previous findings that relationships between whole brain atrophy and clinical changes are weak or absent5 and shows DGM atrophy as a stronger marker of clinical disability. Although the GM volumes of cortical lobes could not predict future EDSS progression, the more detailed post‐hoc analyses showed that regional volumes, such those of the hippocampus and the angular gyrus, were associated with future EDSS progression.…”

Section: Discussionsupporting

confidence: 92%

Deep gray matter volume loss drives disability worsening in multiple sclerosis

Eshaghi

Prados

Brownlee

et al. 2018

Annals of Neurology

Self Cite

343

284

View full text Add to dashboard Cite

ObjectiveGray matter (GM) atrophy occurs in all multiple sclerosis (MS) phenotypes. We investigated whether there is a spatiotemporal pattern of GM atrophy that is associated with faster disability accumulation in MS.MethodsWe analyzed 3,604 brain high‐resolution T1‐weighted magnetic resonance imaging scans from 1,417 participants: 1,214 MS patients (253 clinically isolated syndrome [CIS], 708 relapsing‐remitting [RRMS], 128 secondary‐progressive [SPMS], and 125 primary‐progressive [PPMS]), over an average follow‐up of 2.41 years (standard deviation [SD] = 1.97), and 203 healthy controls (HCs; average follow‐up = 1.83 year; SD = 1.77), attending seven European centers. Disability was assessed with the Expanded Disability Status Scale (EDSS). We obtained volumes of the deep GM (DGM), temporal, frontal, parietal, occipital and cerebellar GM, brainstem, and cerebral white matter. Hierarchical mixed models assessed annual percentage rate of regional tissue loss and identified regional volumes associated with time‐to‐EDSS progression.ResultsSPMS showed the lowest baseline volumes of cortical GM and DGM. Of all baseline regional volumes, only that of the DGM predicted time‐to‐EDSS progression (hazard ratio = 0.73; 95% confidence interval, 0.65, 0.82; p < 0.001): for every standard deviation decrease in baseline DGM volume, the risk of presenting a shorter time to EDSS worsening during follow‐up increased by 27%. Of all longitudinal measures, DGM showed the fastest annual rate of atrophy, which was faster in SPMS (–1.45%), PPMS (–1.66%), and RRMS (–1.34%) than CIS (–0.88%) and HCs (–0.94%; p < 0.01). The rate of temporal GM atrophy in SPMS (–1.21%) was significantly faster than RRMS (–0.76%), CIS (–0.75%), and HCs (–0.51%). Similarly, the rate of parietal GM atrophy in SPMS (–1.24‐%) was faster than CIS (–0.63%) and HCs (–0.23%; all p values <0.05). Only the atrophy rate in DGM in patients was significantly associated with disability accumulation (beta = 0.04; p < 0.001).InterpretationThis large, multicenter and longitudinal study shows that DGM volume loss drives disability accumulation in MS, and that temporal cortical GM shows accelerated atrophy in SPMS than RRMS. The difference in regional GM atrophy development between phenotypes needs to be taken into account when evaluating treatment effect of therapeutic interventions. Ann Neurol 2018;83:210–222

show abstract

Section: Discussionsupporting

confidence: 92%

Deep gray matter volume loss drives disability worsening in multiple sclerosis

Eshaghi

Prados

Brownlee

et al. 2018

Annals of Neurology

Self Cite

343

284

View full text Add to dashboard Cite

show abstract

“…Furthermore, they found no correlation between the baseline EDSS or the annualised DEDSS score and annualised markers of brain atrophy. 13 Similarly, we did not find any significant differences between the three MS courses and atrophy rate in our study. In a recent longitudinal study, Pagani et al 38 showed that brain atrophy develops involving different structures in different MS courses, corpus callosum atrophy being typical for RRMS.…”

Section: Discussionsupporting

confidence: 44%

“…7 In contrast with focal MS lesions, atrophy measures of the brain or spinal cord have been regarded as a better predictor of the disability progression in MS. 2 5 8-10 However, some reports also show non-significant correlation between disability and atrophy. [11][12][13][14][15][16] Focal MS lesions visualised on MRI have a characteristic pattern of oval-shaped, typically periventricular white matter changes, often located in the corpus callosum. Atrophy of the corpus callosum is common in MS.…”

mentioning

confidence: 99%

Progression of non-age-related callosal brain atrophy in multiple sclerosis: a 9-year longitudinal MRI study representing four decades of disease development

Martola

Stawiarz

Fredrikson

et al. 2006

Journal of Neurology, Neurosurgery & Psychiatry

View full text Add to dashboard Cite

Background: In multiple sclerosis (MS), multiple periventricular lesions are commonly the first findings on MRI. However, most of these MS lesions are clinically silent. The brain atrophy rate has shown better correlation to physical disability, but it is not clear how atrophy develops over decades. Corpus callosum forms the roof of the third and lateral ventricles. The corpus callosum area (CCA) in a midsagittal image is age independent in a normal adult population up to the seventh decade; therefore it can be used as a marker for non-age-related, pathological brain atrophy. Objectives: To investigate whether and how CCA decreases in size over time in patients with MS. Methods: In a clinical observational study, 37 patients with MS with a wide range of disease duration at baseline (1-33 years) were followed. Three different MS courses were represented. The mean of individual MRI follow-up was 9 years. Multiple sclerosis severity score (MSSS) was also applied to evaluate disability at baseline and after 9 years of follow-up. Results: A significant decrease in CCA over 9 years (p,0.001) and a persisting association between CCA and the disability status were found. The atrophy rate was similar ever four decades of MS for all MS courses. The mean annual CCA decrease was 9.25 mm 2 (1.8%). Surprisingly, atrophy rate did not correlate with sex, disease duration, age at MS onset or MS course. Conclusions: Serial evaluations of CCA might be a robust method in monitoring a non-age-related decrease in CCA, reflecting progression of irreversible destructive changes in MS.

show abstract

“…Although being male has been proposed as a risk factor for cognitive impairment in MS patients [5], the results on brain neuropathological MS indices are conflicting, some studies have suggested a higher degree of brain damage in males [6][7][8], while others have failed to replicate these findings [9,10]. As these conflicting results might derive from gender interacting with other relevant demographic and clinical variables, we explored whether female and male MS patients, carefully matched for age, years of disease, level of education, intelligence quotient (IQ), neuropsychological performance and physical disability, differed in two indices of MS progression: gray matter (GM) atrophy and resting state functional connectivity (FC) changes.…”

Section: Introductionmentioning

confidence: 99%