Mar Tintoré

MRI criteria for multiple sclerosis in patients presenting with clinically isolated syndromes: a multicentre retrospective study.

BACKGROUND The 2001 and 2005 McDonald criteria allow MRI evidence for dissemination in space (DIS) and dissemination in time (DIT) to be used to diagnose multiple sclerosis in patients who present with clinically isolated syndromes (CIS). In 2006, new criteria were proposed in which DIS requires at least one T2 lesion in at least two of four locations (juxtacortical, periventricular, infratentorial, and spinal-cord) and DIT requires a new T2 lesion on a follow-up scan. We applied all three criteria in a large cohort of CIS patients to assess their performance by use of conversion to clinically definite multiple sclerosis (CDMS) as the outcome. METHODS Patients who had two MRI scans within 12 months of CIS onset were identified in four centres in the Magnims European research network. The specificity and sensitivity of MRI criteria for CDMS after 3 years was assessed in 208 patients. A Cox proportional hazards model was applied in a larger cohort of 282 patients that included all patients irrespective of length of follow-up. FINDINGS The specificity of all criteria for CDMS was high (2001 McDonald, 91%; 2005 McDonald, 88%; new, 87%). Sensitivity of the new (72%) and 2005 McDonald (60%) criteria were higher than the 2001 McDonald criteria (47%). The Cox proportional hazards model showed a higher conversion risk for all three criteria in those with both DIS and DIT than those with either DIS or DIT alone. When all three criteria were included in the model, only the new criteria had an independent significant effect on conversion risk. INTERPRETATION The new criteria are simpler than the McDonald criteria without compromising specificity and accuracy. The presence of both DIS and DIT from two MRI scans has a higher specificity and risk for CDMS than either DIS or DIT alone.

Do oligoclonal bands add information to MRI in first attacks of multiple sclerosis

Background: To evaluate whether oligoclonal bands (OB) add information to MRI in predicting both a second attack and development of disability in patients with clinically isolated syndromes (CIS). Methods: From 1995 to 2006, 572 patients with CIS were included in a prospective study. Patients underwent brain MRI and determination of OB within 3 months of first attack. The number and location of lesions and presence of OB were studied. We analyzed time to second attack and to Expanded Disability Status Scale 3.0 according to number of Barkhof criteria (BC) and the presence or absence of OB. Results: We studied 415 (73%) patients with CIS with both baseline MRI and determination of OB. Patients were followed for a mean of 50 months (SD 31). Compared to the reference group with 0 BC at baseline MRI, patients with one to two BC showed a hazard ratio (HR) for conversion to CDMS of 3.8 (2.0 to 7.2) and patients with three to four BC of 8.9 (4.8 to 16.4). Of the total cohort, OB were positive in 61% of the patients. However, broken down by MRI group, OB were positive in 31% of those with no BC; 69% of those with one to two BC; and 85% of those with three or four BC. The presence of OB increased the risk of a second relapse (HR 1.7; 1.1 to −2.7) independently of baseline MRI but did not modify the development of disability. Conclusions: Presence of oligoclonal bands doubles the risk for having a second attack, independently of MRI, but does not seem to influence the development of disability. GLOSSARY: BC = Barkhof criteria; CDMS = clinically definite multiple sclerosis; CIS = clinically isolated syndromes; EDSS = Expanded Disability Status Scale; HR = hazard ratio; MS = multiple sclerosis; OB = oligoclonal bands.

Defining the response to interferon-β in relapsing-remitting multiple sclerosis patients

Many patients with multiple sclerosis (MS) are currently receiving treatment with interferon (IFN)–β. Early identification of nonresponder patients is crucial to try different therapeutic approaches. We investigated various criteria of treatment response to assess which criterion better identifies patients with a poor response.

Baseline MRI predicts future attacks and disability in clinically isolated syndromes

Objective: To determine the relation between baseline MRI and both conversion to multiple sclerosis (MS) and development of disability in a cohort of patients with clinically isolated syndromes (CIS). Methods: From 1995 to 1998, 175 consecutive patients with CIS underwent brain MRI within 3 months of their first attack and again 12 months and 5 years later. We studied the number and location of lesions at baseline and development of new T2 lesions. We also analyzed conversion to MS and development of disability (Expanded Disability Status Scale [EDSS] ≥ 3.0). Results: We included 156 patients with CIS followed for a median of 7 years. Compared to the reference group with 0 Barkhof criteria at baseline MRI, patients with one or two Barkhof criteria showed an adjusted hazard ratio (HR) of 6.1 (2.2 to 16.6) and patients with three to four Barkhof criteria of 17.0 (6.7 to 43) for conversion to MS and differentiated patients with low, medium, and high conversion risk. EDSS at year 5 correlated with baseline number of Barkhof criteria (r = 0.46, p < 0.0001). When categorizing by number of baseline lesions, similar results were seen. Patients with a baseline MRI with three to four Barkhof criteria had an adjusted HR of 3.9 (1.1 to 13.6) for reaching EDSS ≥ 3.0. Only 10% of the latter had disability at year 5, but 40% reached this at 8 years. Conclusions: Baseline MRI determines the risk for converting to clinically definite multiple sclerosis and correlates with disability at 5 years. The proportion of patients developing disability is low during the first 5 years but rapidly increases shortly after.

New diagnostic criteria for multiple sclerosis Application in first demyelinating episode

Background: Recently developed diagnostic criteria for MS (McDonald criteria) indicate that in patients with a single demyelinating episode (clinically isolated syndromes [CIS]), evidence for dissemination in space and time, essential for diagnosis, may be provided by MRI. Objective: To assess the usefulness of these new criteria in patients with CIS suggestive of MS. Methods: A total of 139 patients with CIS followed for a median of 3 years underwent brain MRI within 3 months of their first attack and again 12 months later. The number and location of lesions at baseline, the development of new lesions at follow-up, and the results of CSF examination (which, if positive, requires fewer MR abnormalities for diagnosis) were analyzed. The new McDonald criteria (incorporating MRI) were compared to the existing Poser diagnostic criteria and their accuracy was evaluated. Results: At 12 months, 11% had clinically definite MS according to the Poser criteria compared to 37% with the McDonald criteria. Eighty percent of patients fulfilling these new criteria developed a second clinical episode within a mean follow-up of 49 months. The new criteria showed a sensitivity of 74%, specificity of 86%, and accuracy of 80% in predicting conversion to clinically definite MS. Conclusion: One year after symptom onset, more than three times as many patients with CIS were diagnosed with MS using new diagnostic criteria incorporating MRI results compared to older criteria. However, the proposed MRI criteria require further prospective studies to optimize sensitivity and specificity.

MRI criteria for the diagnosis of multiple sclerosis: MAGNIMS consensus guidelines

Summary In patients presenting with a clinically isolated syndrome (CIS), magnetic resonance imaging (MRI) can support and substitute clinical information for multiple sclerosis (MS) diagnosis demonstrating disease dissemination in space (DIS) and time (DIT) and helping to rule out other conditions that can mimic MS. From their inclusion in the diagnostic work-up for MS in 2001, several modifications of MRI diagnostic criteria have been proposed, in the attempt to simplify lesion-count models for demonstrating DIS, change the timing of MRI scanning for demonstrating DIT, and increase the value of spinal cord imaging. Since the last update of these criteria, new data regarding the application of MRI for demonstrating DIS and DIT have become available and improvement in MRI technology has occurred. State-of-the-art MRI findings in these patients were discussed in a MAGNIMS workshop, the goal of which was to provide an evidence-based and expert-opinion consensus on diagnostic MRI criteria modifications.

MRI criteria for MS in patients with clinically isolated syndromes

In recent years, criteria for the diagnosis of multiple sclerosis (MS) have changed, mainly due to the incorporation of new MRI criteria. While the new criteria are a logical step forward, they are complex and—not surprisingly—a good working knowledge of them is not always evident among neurologists and neuroradiologists. In some circumstances, several MRI examinations are needed to achieve an accurate and prompt diagnosis. This provides an incentive for continued efforts to refine the incorporation of MRI-derived information into the diagnostic workup of patients presenting with a clinically isolated syndrome. Within the European multicenter collaborative research network that studies MRI in MS (MAGNIMS), a workshop was held in London in November 2007 to review information that may simplify the existing MS diagnostic criteria, while maintaining a high specificity that is essential to minimize false positive diagnoses. New data that are now published were reviewed and discussed and together with a new proposal are integrated in this position paper.

Does the Modified Fatigue Impact Scale offer a more comprehensive assessment of fatigue in MS

Background: As a symptom of multiple sclerosis (MS), fatigue is difficult to manage because of its unknown etiology, the lack of efficacy of the drugs tested to date and the absence of consensus about which would be the ideal measure to assess fatigue. Objective: Our aim was to assess the frequency of fatigue in a sample of MS patients and healthy controls (HC) using two fatigue scales, the Fatigue Severity Scale (FSS) and the Modified Fatigue Impact Scale (MFIS) with physical, cognitive and psychosocial subscales. We also studied the relationship fatigue has with depression, disability and interferon beta. Methods: Three hundred and fifty-four individuals (231 MS patients and 123 HC) were included in this cross-sectional study. Fatigue was assessed using the FSS and MFIS. Depression was measured by the Beck Depression Inventory (BDI), and disability by the Expanded Disability Status Scale (EDSS). A status of fatigue was considered when the FSS≥ 5, of non-fatigue when the FSS≤4, and scores between 4.1 and 4.9 were considered doubtful fatigue cases. Results: Fifty-five percent of MS patients and 13% of HC were fatigued. The global MFIS score positively correlated with the FSS in MS and HC (r=0.68 for MS and r=0.59 for HC, p<0.0001). Nonetheless, the MFIS physical subscale showed the strongest correlation score with the FSS (r=0.75, p<0.0001). In addition, a prediction analysis showed the physical MFIS subscale to be the only independent predictor of FSS score (p<0.0001), suggesting other aspects of fatigue, as cognition and psychosocial functions, may be explored by the FSS to a lesser extent. Depression also correlated with fatigue (r=0.48 for the FSS and r=0.7 for the MFIS, p<0.0001) and, although EDSS correlated with fatigue as well, the scores decreased after correcting for depression. Interferon beta showed no relationship with fatigue. Conclusions: Fatigue is a frequent symptom found in MS patients and clearly related with depression. Each fatigue scale correlates with one another, indicating that they are measuring similar constructs. Nevertheless, spheres of fatigue as cognition and psychosocial functions are probably better measured by the MFIS, although this hypothesis will need to be confirmed with appropriate psychometrical testing.

Evidence-based guidelines: MAGNIMS consensus guidelines on the use of MRI in multiple sclerosis - Establishing disease prognosis and monitoring patients

The role of MRI in the assessment of multiple sclerosis (MS) goes far beyond the diagnostic process. MRI techniques can be used as regular monitoring to help stage patients with MS and measure disease progression. MRI can also be used to measure lesion burden, thus providing useful information for the prediction of long-term disability. With the introduction of a new generation of immunomodulatory and/or immunosuppressive drugs for the treatment of MS, MRI also makes an important contribution to the monitoring of treatment, and can be used to determine baseline tissue damage and detect subsequent repair. This use of MRI can help predict treatment response and assess the efficacy and safety of new therapies. In the second part of the MAGNIMS (Magnetic Resonance Imaging in MS) networks guidelines on the use of MRI in MS, we focus on the implementation of this technique in prognostic and monitoring tasks. We present recommendations on how and when to use MRI for disease monitoring, and discuss some promising MRI approaches that may be introduced into clinical practice in the near future.

Scoring treatment response in patients with relapsing multiple sclerosis

Background: We employed clinical and magnetic resonance imaging (MRI) measures in combination, to assess patient responses to interferon in multiple sclerosis. Objective: To optimize and validate a scoring system able to discriminate responses to interferon treatment in patients with relapsing–remitting multiple sclerosis (RRMS). Methods: Our analysis included two large, independent datasets of RRMS patients who were treated with interferons that included 4-year follow-up data. The first dataset (“training set”) comprised of 373 RRMS patients from a randomized clinical trial of subcutaneous interferon beta-1a. The second (“validation set”) included an observational cohort of 222 RRMS patients treated with different interferons. The new scoring system, a modified version of that previously proposed by Rio et al., was first tested on the training set, then validated using the validation set. The association between disability progression and risk group, as defined by the score, was evaluated by Kaplan Meier survival curves and Cox regression, and quantified by hazard ratios (HRs). Results: The score (0–3) was based on the number of new T2 lesions (>5) and clinical relapses (0,1 or 2) during the first year of therapy. The risk of disability progression increased with higher scores. In the validation set, patients with score of 0 showed a 3-year progression probability of 24%, while those with a score of 1 increased to 33% (HR = 1.56; p = 0.13), and those with score greater than or equal to 2 increased to 65% (HR = 4.60; p < 0.001). Conclusions: We report development of a simple, quantitative and complementary tool for predicting responses in interferon-treated patients that could help clinicians make treatment decisions.