Brain Volume and Diffusion Markers as Predictors of Disability and Short-Term Disease Evolution in Multiple Sclerosis

Sämann, Philipp G.; Knop, M.; Golgor, Elena; Messler, Sabine; Czisch, Michael; Weber, Frank

doi:10.3174/ajnr.a2972

Cited by 16 publications

(20 citation statements)

References 56 publications

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“…A majority of the studies (N = 20) recruited only relapsing-remitting (RR) MS patients [14,[16][17][18]20,23,[26][27][28]31,33,35,37,[39][40][41][42]47,48,51]. Sixteen studies recruited primary progressive (PP) MS and secondary progressive (SP) MS patients [15,21,22,24,25,29,30,32,34,36,38,[43][44][45][46]49]. The study durations ranged from 12 to 111 months.…”

Section: Overall Study Descriptionmentioning

confidence: 98%

“…Among the 34 studies reporting EDSS at baseline, the mean scores ranged from 1.1 to 6.0 [15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][35][36][37][38][39][40][41][42][43][44][45][46][47][48][49][50][51]. The reported brain volume algorithms were SIENA [14,16,17,22,24,25,[27][28][29][30][31]33,[37][38][39][41]…”

Section: Overall Study Descriptionmentioning

confidence: 99%

“…Of the 38 articles, 8 were clinical trials [14,20,26,27,31,39,50,51] and 30 were observational studies [15][16][17][18][19][21][22][23][24][25][28][29][30][32][33][34][35][36][37][38][40][41][42][43][44][45][46][47][48][49]. Nine studies included a healthy control arm [15,21,23,27,32,40,[48][49][50].…”

Section: Overall Study Descriptionmentioning

confidence: 99%

See 2 more Smart Citations

The natural history of brain volume loss among patients with multiple sclerosis: A systematic literature review and meta-analysis

Vollmer

Signorovitch

Huynh

et al. 2015

Journal of the Neurological Sciences

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Section: Overall Study Descriptionmentioning

confidence: 98%

Section: Overall Study Descriptionmentioning

confidence: 99%

See 1 more Smart Citation

The natural history of brain volume loss among patients with multiple sclerosis: A systematic literature review and meta-analysis

Vollmer

Signorovitch

Huynh

et al. 2015

Journal of the Neurological Sciences

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“…Structural brain imaging studies consistently found associations between cognitive deficits and wholebrain volume (1,(6)(7)(8), lesion load in the brain at T2-weighted imaging (T2 lesion load), and location of lesions in strategic white matter regions at T2-weighted imaging (9,10 …”

mentioning

confidence: 99%

Correlates of Executive Functions in Multiple Sclerosis Based on Structural and Functional MR Imaging: Insights from a Multicenter Study

Koini¹,

Filippi²,

Rocca³

et al. 2016

Radiology

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q RSNA, 2016 Purpose:To study the concomitant use of structural and functional magnetic resonance (MR) imaging correlates to explain information processing speed (IPS) and executive function (EF) in multiple sclerosis (MS). Materials and Methods:Local ethics committee approval was obtained at all sites for this prospective, multicenter study. All subjects provided written informed consent. Twenty-six patients with relapsing-remitting MS and 32 healthy control subjects from four centers underwent structural and functional MR imaging, including a go/no-go task and neuropsychological assessment. Subtests of the Brief Repeatable Battery of Neuropsychological Tests, the Wisconsin Card Sorting Test, and the performance with the functional MR imaging paradigm were used as estimates of IPS and EF. Activation of the thalamus and the inferior frontal gyrus (pars triangularis), thalamic volume, T2 lesion load, and age were used to explain IPS and EF in regression models. Results:Compared with control subjects, patients showed increased activation in a frontoparietal network, including both thalami, during the execution of the go/no-go task. Patients had decreased thalamic volume (P , .001). Among tested variables, thalamic volume (b = 0.606, P = .001), together with thalamic activation (b = 20.410, P = .022), were the best predictors of IPS and EF and helped explain 52.7% of the variance in IPS and EF. Conclusion:This study highlights the potential of the combined use of functional and morphologic parameters to explain IPS and EF in patients with relapsing-remitting MS and confirms the central role of the thalamus as a relay station in executive functioning.q RSNA, 2016

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“…Another imaging feature to evaluate with MRI in MS is the general neurodegenerative processes that occur in parallel, including diffuse WM changes and atrophy development, which are predictors of disability and short-term disease evolution in MS. [49][50][51] These changes can be more subtle and are not always easy to detect visually on conventional images, and therefore quantitative MR sequences can improve the assessment of these features. [52,53] Quantitative MR sequences for volumetric measurements have only recently emerged as part of standard MS imaging, and have not been implemented at all centres.…”

Section: Mri In Msmentioning

confidence: 99%

Clinical Applications of Synthetic MRI of the Brain

Blystad¹

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Magnetic Resonance Imaging (MRI) has a high soft-tissue contrast with a high sensitivity for detecting pathological changes in the brain. Conventional MRI is a time-consuming method with multiple scans that relies on the visual assessment of the neuroradiologist. Synthetic MRI uses one scan to produce conventional images, but also quantitative maps based on relaxometry, that can be used to quantitatively analyse tissue properties and pathological changes. The studies presented here apply the use of synthetic MRI of the brain in different clinical settings. In the first study, synthetic MR images were compared to conventional MR images in 22 patients. The contrast, the contrast-to-noise ratio, and the diagnostic quality were assessed. Image quality was perceived to be inferior in the synthetic images, but synthetic images agreed with the clinical diagnoses to the same extent as the conventional images. Patients with early multiple sclerosis were analysed in the second study. In patients with multiple sclerosis, contrast-enhancing white matter lesions are a sign of active disease and can indicate a need for a change in therapy. Gadolinium-based contrast agents are used to detect active lesions, but concern has been raised regarding the long-term effects of repeated use of gadolinium. In this study, relaxometry was used to evaluate whether pre-contrast injection tissue-relaxation rates and proton density can identify active lesions without gadolinium. The findings suggest that active lesions often have relaxation times and proton density that differ from non-enhancing lesions, but with some overlap. This makes it difficult to replace gadolinium-based contrast agent injection with synthetic MRI in the monitoring of MS patients. Malignant gliomas are primary brain tumours with contrast enhancement due to a defective blood-brain barrier. However, they also grow in an infiltrative, diffuse manner, making it difficult to clearly delineate them from surrounding normal brain tissue in the diagnostic workup, at surgery, and during follow-up. The contrast-enhancing part of the tumour is easily visualised, but not the diffuse infiltration. In studies three and four, synthetic MRI was used to analyse the peritumoral area of malignant gliomas, and revealed quantitative findings regarding peritumoral relaxation changes and non-visible contrast enhancement suggestive of non-visible infiltrative tumour growth. In conclusion, synthetic MRI provides quantitative information about the brain tissue and this could improve the diagnosis and treatment for patients

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Brain Volume and Diffusion Markers as Predictors of Disability and Short-Term Disease Evolution in Multiple Sclerosis

Cited by 16 publications

References 56 publications

The natural history of brain volume loss among patients with multiple sclerosis: A systematic literature review and meta-analysis

The natural history of brain volume loss among patients with multiple sclerosis: A systematic literature review and meta-analysis

Correlates of Executive Functions in Multiple Sclerosis Based on Structural and Functional MR Imaging: Insights from a Multicenter Study

Clinical Applications of Synthetic MRI of the Brain

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