2014
DOI: 10.1002/acn3.68
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Advanced MRI unravels the nature of tissue alterations in early multiple sclerosis

Abstract: IntroductionIn patients with multiple sclerosis (MS), conventional magnetic resonance imaging (MRI) provides only limited insights into the nature of brain damage with modest clinic-radiological correlation. In this study, we applied recent advances in MRI techniques to study brain microstructural alterations in early relapsing-remitting MS (RRMS) patients with minor deficits. Further, we investigated the potential use of advanced MRI to predict functional performances in these patients.MethodsBrain relaxometr… Show more

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Cited by 70 publications
(133 citation statements)
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“…Despite all these improvements, it is not yet clear if the better visualization of intracortical lesions, central vein sign and susceptibility signal within the lesion does have a clinical value and should therefore be part of the diagnostic work-up (Rovira et al, 2015). T1 weighted images nevertheless seem to be amongst the most robust methods for the detection of cortical lesions (Bonnier et al, 2014), and it has been shown that carefully choosing the inversion times of phase sensitive inversion recovery sequences can enhance the detectability of intracortical lesions (Mougin et al, 2015). Alternatively, to the gradient echo readouts mentioned earlier, FSE readouts following a T1 preparation such as provided by double inversion recovery are also valid alternatives (de Graaf et al, 2012).…”
Section: Study Of Inflammatory Diseasesmentioning
confidence: 96%
“…Despite all these improvements, it is not yet clear if the better visualization of intracortical lesions, central vein sign and susceptibility signal within the lesion does have a clinical value and should therefore be part of the diagnostic work-up (Rovira et al, 2015). T1 weighted images nevertheless seem to be amongst the most robust methods for the detection of cortical lesions (Bonnier et al, 2014), and it has been shown that carefully choosing the inversion times of phase sensitive inversion recovery sequences can enhance the detectability of intracortical lesions (Mougin et al, 2015). Alternatively, to the gradient echo readouts mentioned earlier, FSE readouts following a T1 preparation such as provided by double inversion recovery are also valid alternatives (de Graaf et al, 2012).…”
Section: Study Of Inflammatory Diseasesmentioning
confidence: 96%
“…Thus, these previously proposed, automated methods seem to be infrequently used in clinical practice, where detecting new lesions, particularly of small size, is very important in diagnosis and follow‐up of MS patients. Moreover, most of this prior work has not been applied systematically to high‐resolution 3D MS acquisition protocols, which are increasingly utilized in clinical practice, nor to some other sequences that optimize the contrast of cortical lesions such as double‐inversion recovery (DIR), phase‐sensitive inversion recovery, and magnetization‐prepared 2 rapid acquisition gradient‐echo (MP2RAGE) …”
mentioning
confidence: 99%
“…Therefore, we do not recommend the use of CSF as a reference region in intensity normalization. Furthermore, in addition to NAWM, several other regions have been shown to be diffusely affected by MS, including cerebellar white matter (CBWM) (Bonnier et al, 2014; Casanova et al, 2003; Deppe et al, 2015), cortical gray matter (Kutzelnigg et al, 2005; Pirko et al, 2007; Vrenken et al, 2006) and deep gray matter (Griffin et al, 2002; Parry et al, 2002; Pirko et al, 2007; Vrenken et al, 2006). …”
Section: Methodsmentioning
confidence: 99%
“…Cerebellar gray matter (CBGM), on the other hand, has not been found to be diffusely affected by MS, and a recent investigation of T 1 , T 2 , T2, and magnetization transfer ratio (MTR) in early-stage RRMS looked for but found no changes to CBGM (Bonnier et al, 2014). Furthermore, the cerebellum has been utilized previously as a reference region for intensity normalization of positron emission tomography (PET) in the contexts of MS (Ratchford et al, 2012) and Alzheimer’s disease (Kropholler et al, 2007), though to the best of our knowledge it has not been used for intensity normalization of MRI.…”
Section: Methodsmentioning
confidence: 99%
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