Browsing by Author "Martinelli, Vittorio (7005415704)"

Objectives: To validate imaging features able to discriminate neuromyelitis optica spectrum disorders from multiple sclerosis with conventional magnetic resonance imaging (MRI). Methods: In this cross-sectional study, brain and spinal cord scans were evaluated from 116 neuromyelitis optica spectrum disorder patients (98 seropositive and 18 seronegative) in chronic disease phase and 65 age-, sex-, and disease duration–matched multiple sclerosis patients. To identify independent predictors of neuromyelitis optica diagnosis, after assessing the prevalence of typical/atypical findings, the original cohort was 2:1 randomized in a training sample (where a multivariate logistic regression analysis was run) and a validation sample (where the performance of the selected variables was tested and validated). Results: Typical brain lesions occurred in 50.9% of neuromyelitis optica patients (18.1% brainstem periventricular/periaqueductal, 32.7% periependymal along lateral ventricles, 3.4% large hemispheric, 6.0% diencephalic, 4.3% corticospinal tract), 72.2% had spinal cord lesions (46.3% long transverse myelitis, 36.1% short transverse myelitis), 37.1% satisfied 2010 McDonald criteria, and none had cortical lesions. Fulfillment of at least 2 of 5 of absence of juxtacortical/cortical lesions, absence of periventricular lesions, absence of Dawson fingers, presence of long transverse myelitis, and presence of periependymal lesions along lateral ventricles discriminated neuromyelitis optica patients in both training (sensitivity = 0.92, 95% confidence interval [CI] = 0.84–0.97; specificity = 0.91, 95% CI = 0.78–0.97) and validation samples (sensitivity = 0.82, 95% CI = 0.66–0.92; specificity = 0.91, 95% CI = 0.71–0.99). MRI findings and criteria performance were similar irrespective of serostatus. Interpretation: Although up to 50% of neuromyelitis optica patients have no typical lesions and a relatively high percentage of them satisfy multiple sclerosis criteria, several easily applicable imaging features can help to distinguish neuromyelitis optica from multiple sclerosis. ANN NEUROL 2019;85:371–384. © 2019 American Neurological Association

Objectives: To validate imaging features able to discriminate neuromyelitis optica spectrum disorders from multiple sclerosis with conventional magnetic resonance imaging (MRI). Methods: In this cross-sectional study, brain and spinal cord scans were evaluated from 116 neuromyelitis optica spectrum disorder patients (98 seropositive and 18 seronegative) in chronic disease phase and 65 age-, sex-, and disease duration–matched multiple sclerosis patients. To identify independent predictors of neuromyelitis optica diagnosis, after assessing the prevalence of typical/atypical findings, the original cohort was 2:1 randomized in a training sample (where a multivariate logistic regression analysis was run) and a validation sample (where the performance of the selected variables was tested and validated). Results: Typical brain lesions occurred in 50.9% of neuromyelitis optica patients (18.1% brainstem periventricular/periaqueductal, 32.7% periependymal along lateral ventricles, 3.4% large hemispheric, 6.0% diencephalic, 4.3% corticospinal tract), 72.2% had spinal cord lesions (46.3% long transverse myelitis, 36.1% short transverse myelitis), 37.1% satisfied 2010 McDonald criteria, and none had cortical lesions. Fulfillment of at least 2 of 5 of absence of juxtacortical/cortical lesions, absence of periventricular lesions, absence of Dawson fingers, presence of long transverse myelitis, and presence of periependymal lesions along lateral ventricles discriminated neuromyelitis optica patients in both training (sensitivity = 0.92, 95% confidence interval [CI] = 0.84–0.97; specificity = 0.91, 95% CI = 0.78–0.97) and validation samples (sensitivity = 0.82, 95% CI = 0.66–0.92; specificity = 0.91, 95% CI = 0.71–0.99). MRI findings and criteria performance were similar irrespective of serostatus. Interpretation: Although up to 50% of neuromyelitis optica patients have no typical lesions and a relatively high percentage of them satisfy multiple sclerosis criteria, several easily applicable imaging features can help to distinguish neuromyelitis optica from multiple sclerosis. ANN NEUROL 2019;85:371–384. © 2019 American Neurological Association

Background: In 2016, the Magnetic Resonance Imaging in Multiple Sclerosis (MAGNIMS) network proposed modifications to the MRI criteria to define dissemination in space (DIS) and time (DIT) for the diagnosis of multiple sclerosis in patients with clinically isolated syndrome (CIS). Changes to the DIS definition included removal of the distinction between symptomatic and asymptomatic lesions, increasing the number of lesions needed to define periventricular involvement to three, combining cortical and juxtacortical lesions, and inclusion of optic nerve evaluation. For DIT, removal of the distinction between symptomatic and asymptomatic lesions was suggested. We compared the performance of the 2010 McDonald and 2016 MAGNIMS criteria for multiple sclerosis diagnosis in a large multicentre cohort of patients with CIS to provide evidence to guide revisions of multiple sclerosis diagnostic criteria. Methods: Brain and spinal cord MRI and optic nerve assessments from patients with typical CIS suggestive of multiple sclerosis done less than 3 months from clinical onset in eight European multiple sclerosis centres were included in this retrospective study. Eligible patients were 16–60 years, and had a first CIS suggestive of CNS demyelination and typical of relapsing-remitting multiple sclerosis, a complete neurological examination, a baseline brain and spinal cord MRI scan obtained less than 3 months from clinical onset, and a follow-up brain scan obtained less than 12 months from CIS onset. We recorded occurrence of a second clinical attack (clinically definite multiple sclerosis) at months 36 and 60. We evaluated MRI criteria performance for DIS, DIT, and DIS plus DIT with a time-dependent receiver operating characteristic curve analysis. Findings: Between June 16, 1995, and Jan 27, 2017, 571 patients with CIS were screened, of whom 368 met all study inclusion criteria. At the last evaluation (median 50·0 months [IQR 27·0–78·4]), 189 (51%) of 368 patients developed clinically definite multiple sclerosis. At 36 months, the two DIS criteria showed high sensitivity (2010 McDonald 0·91 [95% CI 0·85–0·94] and 2016 MAGNIMS 0·93 [0·88–0·96]), similar specificity (0·33 [0·25–0·42] and 0·32 [0·24–0·41]), and similar area under the curve values (AUC; 0·62 [0·57–0·67] and 0·63 [0·58–0·67]). Performance was not affected by inclusion of symptomatic lesions (sensitivity 0·92 [0·87–0·96], specificity 0·31 [0·23–0·40], AUC 0·62 [0·57–0·66]) or cortical lesions (sensitivity 0·92 [0·87–0·95], specificity 0·32 [0·24–0·41], AUC 0·62 [0·57–0·67]). Requirement of three periventricular lesions resulted in slightly lower sensitivity (0·85 [0·78–0·90], slightly higher specificity (0·40 [0·32–0·50], and similar AUC (0·63 [0·57–0·68]). Inclusion of optic nerve evaluation resulted in similar sensitivity (0·92 [0·87–0·96]), and slightly lower specificity (0·26 [0·18–0·34]) and AUC (0·59 [0·55–0·64]). AUC values were also similar for DIT (2010 McDonald 0·61 [0·55–0·67] and 2016 MAGNIMS 0·61 [0·55–0·66]) and DIS plus DIT (0·62 [0·56–0·67] and 0·64 [0·58–0·69]). Interpretation: The 2016 MAGNIMS criteria showed similar accuracy to the 2010 McDonald criteria in predicting the development of clinically definite multiple sclerosis. Inclusion of symptomatic lesions is expected to simplify the clinical use of MRI criteria without reducing accuracy, and our findings suggest that needing three lesions to define periventricular involvement might slightly increase specificity, suggesting that these two factors could be considered during further revisions of multiple sclerosis diagnostic criteria. Funding: UK MS Society, National Institute for Health Research University College London Hospitals Biomedical Research Centre, Dutch MS Research Foundation. © 2018 Elsevier Ltd

Background: The spinal cord is commonly involved in patients with neuromyelitis optica spectrum disorders (NMOSDs). However, the relationship between inflammation and atrophy remains unclear. Purpose: To characterize the spatial distribution of T1-hypointense lesions in the spinal cord at MRI, its association with cord atrophy, and its correlation with disability in participants with NMOSDs. Materials and Methods: This prospective study evaluated three-dimensional T1-weighted spinal cord MRI scans in seropositive participants with NMOSDs and in age-matched healthy control participants acquired between February 2010 and July 2018. Binary masks of T1-hypointense lesions and lesion probability maps were produced. Cross-sectional area of the cervical and upper thoracic cord (down to T3 level) was calculated with the active-surface method. Full factorial models were used to assess cord atrophy in participants with NMOSDs. Correlations between cord atrophy and clinical and brain MRI measures were investigated with multiple regression models. Results: A total of 52 participants with NMOSDs (mean age 6 standard deviation, 44 years 6 15; 45 women) and 28 age-matched healthy control participants (mean age, 44 years 6 13; 16 women) were evaluated. Thirty-eight of 52 (73%) participants with NMOSDs had T1-hypointense cord lesions. No cord lesions were detected in the healthy control participants. Lesion probability maps showed a predominant involvement of the upper cervical (C2–C4) and upper thoracic (T1–T3 level) cord. The greater involvement of C1–C4 survived Bonferroni correction (P value range, .007–.04), with a higher percentage lesion extent in the gray matter (P , .001). Atrophy colocalized with focal cord lesions and correlated with pyramidal subscore (r ranging from 20.53 to 20.40; P , .001) and sensitive subscore (r ranging from 20.48 to 20.46; P = .001) of the Expanded Disability Status Scale. Participants without cord lesions had no cord atrophy. Conclusion: In participants with neuromyelitis optica spectrum disorders, focal areas of spinal cord atrophy at MRI were topographically associated with lesions and correlated to motor and sensory disability. Participants without visible cord lesions had no atrophy. © RSNA, 2020.