Whole-Brain T1 Mapping in Multiple Sclerosis: Global Changes of Normal-appearing Gray and White Matter

Vrenken, Hugo; Geurts, Jeroen J. G.; Knol, Dirk L.; Dijk, L Noor van; Dattola, Vincenzo; Jasperse, Bas; Schijndel, Ronald A. van; Polman, Chris H.; Castelijns, Jonas A.; Barkhof, Frederik; Pouwels, Petra J. W.

doi:10.1148/radiol.2403050569

Cited by 175 publications

(181 citation statements)

References 42 publications

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“…Similar results have been reported previously. 23,24 Higher Expanded Disability Status Scale scores and longer disease duration both correlated with a higher degree of atrophy, which has also been reported in earlier studies. 3,4 Although caution should be taken in comparing BPF measurements between studies that used different methods, 25,26 it is our interpretation that the strong agreement with literature values indicates the validity of using SyMap for determination of BPF.…”

Section: Comparison With Bpf Values From Previous Studiessupporting

confidence: 86%

Automated Determination of Brain Parenchymal Fraction in Multiple Sclerosis

Vågberg¹,

Lindqvist²,

Ambarki

et al. 2012

AJNR Am J Neuroradiol

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Section: Comparison With Bpf Values From Previous Studiessupporting

confidence: 86%

Automated Determination of Brain Parenchymal Fraction in Multiple Sclerosis

Vågberg¹,

Lindqvist²,

Ambarki

et al. 2012

AJNR Am J Neuroradiol

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“…These changes after axonal loss can involve local synaptic reorganization, reorganization at more distant sites, or recruitment of parallel existing pathways (33), hampering relations between the location of an original lesion and its remaining symptoms after the development of adaptation. Importantly, diffuse pathology in the NAWM, which may also contribute to disability (35,36) is not included in total lesional disease burden (12).…”

Section: Discussionmentioning

confidence: 99%

Clinical correlations of brain lesion distribution in multiple sclerosis

Vellinga¹,

Geurts²,

Rostrup

et al. 2009

Magnetic Resonance Imaging

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Purpose: To explore relations between spatial distribution of multiple sclerosis (MS) lesions, and disability. In MS, the presence of asymptomatic brain lesions challenges the prediction of disability based on conventional brain MRI. Hypothesizing that symptomatology may partly be determined by lesion location, this retrospective study explored relations between lesion location and disability using voxelwise analyses in standard space. Materials and Methods:Using nonparametric permutation-based statistics, voxelwise lesion probability on T2 lesion masks was related to expanded disability status scale (EDSS) and MS functional composite (MSFC) subdomain scores and demographic characteristics of 325 MS patients. To identify statistically significant locations, a cluster-forming threshold of 3.1 was used. Results:In clusters in the periventricular region, lesion probability correlated significantly (P Ͻ 0.001) with disability and disease duration, and was higher in progressive than in relapsing disease. When controlled for lesion load (LL), no significant clusters survived. Presence and number of spinal cord lesions did not correlate with lesion probability in any location, and did not influence correlations with disability when included in its analyses.Conclusion: Periventricular lesions were related to disability. LL influenced relations between disability and lesion probability throughout the brain, suggesting interplay between lesional burden and its location in determining disability in MS.

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“…Whole-brain T1 maps (Fig 1) were obtained as previously described. 9 Briefly, the small flip angle array images were coregistered with FLIRT (FMRIB's linear image registration tool) 23,24 ; T1 was then calculated 21 for each pixel by nonlinear leastsquares fitting by using a hill-climbing algorithm, correcting the flip angle values for the local effective B 1 field strength, which was calculated from the signal-intensity zero crossing 21 in the large flip angle array images. MTR Mapping.…”

Section: Quantitative Mr Imaging Analysismentioning

confidence: 99%