2009
DOI: 10.1001/archneurol.2009.49
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A Single, Early Magnetic Resonance Imaging Study in the Diagnosis of Multiple Sclerosis

Abstract: Background: A diagnosis of multiple sclerosis in patients who present for the first time with a clinically isolated syndrome (CIS) can be established with brain magnetic resonance imaging (MRI) if the MRI demonstrates demyelinating lesions with dissemination in space (DIS) and dissemination in time (DIT).Objective: To investigate the diagnostic performance of a single MRI study obtained within the first 3 months after symptom onset in a cohort of patients with a CIS suggestive of multiple sclerosis at presenta… Show more

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Cited by 122 publications
(72 citation statements)
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“…This revised version increased the sensitivity of the critieria and simplified the features of both DIS and DIT, while maintaining the specifi city of the earlier 2001 and 2005 versions of the criteria (Table 1). 7,[11][12][13][14] The benefits of the 2010 McDonald MRI criteria included the focus on lesion location rather than lesion count, which facilitates MRI interpretation; the elimination of a mandatory interval between the clinical attack and baseline reference scan (which had been arbitrarily determined), thereby facilitating management of patients; and the acceptance of the concomitant presence of gadolinium-enhancing and gadolinium-nonenhancing lesions as evidence for DIT, which allows very early diagnosis in some patients who undergo a single MRI examination at any time after symptom onset.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…This revised version increased the sensitivity of the critieria and simplified the features of both DIS and DIT, while maintaining the specifi city of the earlier 2001 and 2005 versions of the criteria (Table 1). 7,[11][12][13][14] The benefits of the 2010 McDonald MRI criteria included the focus on lesion location rather than lesion count, which facilitates MRI interpretation; the elimination of a mandatory interval between the clinical attack and baseline reference scan (which had been arbitrarily determined), thereby facilitating management of patients; and the acceptance of the concomitant presence of gadolinium-enhancing and gadolinium-nonenhancing lesions as evidence for DIT, which allows very early diagnosis in some patients who undergo a single MRI examination at any time after symptom onset.…”
Section: Discussionmentioning
confidence: 99%
“…18 Thus, the diagnosis of PPMS can be challenging, particularly in patients with normal brain MRI and inconclusive spinal cord findings. [11][12][13]19,20 but the International Panel considered that the new criteria were also applicable to the diagnosis of MS in other populations (for example, paediatric patients, people of Asian ancestry, and Latin Americans). However, the Panel emphasized the need to confirm this view through additional studies in these populations.…”
Section: Discussionmentioning
confidence: 99%
“…In older patients ($12 years of age), it can be met at the time of a baseline scan provided there is evidence of both a gadolinium-enhancing and nonenhancing clinically silent lesion, based on prior work showing that the presence of nonenhancing and asymptomatic gadolinium-enhancing lesions is predictive for the development of RRMS in the setting of a first clinical attack. 5,6 New lesions on serial scans, or further clinical attacks, are also sufficient for MS diagnosis in patients not meeting criteria at the time of their incident attack and serial clinical and MRI evaluations are advised when confirming the diagnosis of MS in patients with onset age younger than 12 years.…”
Section: Role Of Mri In Ms Diagnosismentioning
confidence: 99%
“…Instead, here we propose the use of predictive multivariate models that can generalise to unseen subjects (those not used to learn the parameters of a model) and thus potentially lead to a new imaging-based marker for MS. Recent work has highlighted the feasibility of using single structural scans for reliable MS diagnosis (Rovira et al, 2009), the ability of local multivariate predictive methods to discriminate between MS patients and controls with high accuracy, even when using NABT structural data (Weygandt et al, 2011), and the possibility of using global multivariate methods with structural data to distinguish various aspects of MS severity (Bendfeldt et al, 2012). Accordingly, given the increased use and development of predictive modelling techniques in fMRI research, originally derived from machine learning or pattern recognition (Kamitani and Tong, 2005;Mourao-Miranda et al, 2005;Ethofer et al, 2009;Weil and Rees, 2010;Shirer et al, 2011), it would appear highly suitable and advantageous to apply similar techniques to characterise high-dimensional fMRI data obtained during restingstate (Richiardi et al, 2010(Richiardi et al, , 2011.…”
mentioning
confidence: 99%