MRI and laboratory features and the performance of international criteria in the diagnosis of multiple sclerosis in children and adolescents: a prospective cohort study

被引:79
作者
Fadda, Giulia [1 ]
Brown, Robert A. [1 ]
Longoni, Giulia [2 ,3 ,5 ]
Castro, Denise A. [4 ]
O'Mahony, Julia [5 ,6 ,7 ]
Verhey, Leonard H. [8 ]
Branson, Helen M. [4 ]
Waters, Patrick [9 ]
Bar-Or, Amit [10 ]
Marrie, Ruth Ann [11 ,12 ]
Yeh, E. Ann [2 ,3 ,5 ]
Narayanan, Sridar [1 ]
Arnold, Douglas L. [1 ]
Banwell, Brenda [13 ]
机构
[1] McGill Univ, Montreal Neurol Inst, Montreal, PQ, Canada
[2] Univ Toronto, Dept Pediat, Toronto, ON, Canada
[3] Univ Toronto, Dept Pediat, Div Neurol, Toronto, ON, Canada
[4] Univ Toronto, Div Neuroradiol, Toronto, ON, Canada
[5] Univ Toronto, SickKids Res Inst, Dept Diagnost Imaging Neurosci & Mental Hlth, Toronto, ON, Canada
[6] Univ Toronto, Hosp Sick Children, Toronto, ON, Canada
[7] Univ Toronto, Inst Hlth Policy Management & Evaluat, Toronto, ON, Canada
[8] Cent Michigan Univ, Coll Med, Mt Pleasant, MI 48859 USA
[9] John Radcliffe Hosp, Nuffield Dept Clin Neurosci, Oxford, England
[10] Univ Penn, Perelman Sch Med, Dept Neurol, Philadelphia, PA 19104 USA
[11] Univ Manitoba, Rady Fac Hlth Sci, Max Rady Coll Med, Dept Internal Med, Winnipeg, MB, Canada
[12] Univ Manitoba, Rady Fac Hlth Sci, Max Rady Coll Med, Dept Community Hlth Sci, Winnipeg, MB, Canada
[13] Univ Penn, Childrens Hosp Philadelphia, Perelman Sch Med, Dept Neurol,Div Child Neurol, Philadelphia, PA 19104 USA
关键词
MCDONALD CRITERIA; DEMYELINATION; ANTIBODIES;
D O I
10.1016/S2352-4642(18)30026-9
中图分类号
R72 [儿科学];
学科分类号
100202 ;
摘要
Background MRI and laboratory features have been incorporated into international diagnostic criteria for multiple sclerosis. We assessed the pattern of MRI lesions and contributions of cerebrospinal fluid (CSF) and serum antibody findings that best identifies children with multiple sclerosis, and the applicability of international diagnostic criteria in the paediatric context. Methods In this prospective cohort study, detailed clinical assessments, serum and CSF studies, and MRI scans were done in youth (aged 0.46-17.87 years) with incidental acquired demyelinating syndrome. Participants were examined prospectively to identify relapsing disease. All MRI scans were assessed using a validated scoring method. A random forest classifier identified imaging and laboratory features that best predicted a multiple sclerosis or monophasic outcome. Performance of the 2001, 2010, and 2017 international McDonald criteria for the diagnosis of multiple sclerosis, the 2016 MRI in multiple sclerosis (MAGNIMS) criteria, and our 2011 proposed (Verhey) criteria were determined; performance was adjudicated with generalised linear models. Findings Between Sept 1, 2004, and June 30, 2017, we included 324 participants with median follow-up of 72 months (range 6-150), 71 (22%) participants with multiple sclerosis, 237 (73%) with monophasic acquired demyelinating syndrome, 14 (4%) with relapsing non-multiple sclerosis, and two (1%) with alternative diagnoses. We scored 2391 brain, 444 spinal, and 67 dedicated orbital MRI scans. One or more T1 hypointense lesions plus one or more periventricular lesions (Verhey criteria) best predicted multiple sclerosis outcome. Performance of the 2017 McDonald criteria was comparable to the 2010 McDonald criteria and was easier to adjudicate. The ability of CSF oligoclonal bands to substitute for the requirement for both enhancing and non-enhancing lesions in the 2017 McDonald criteria improved its performance compared with the 2010 criteria. Myelin oligodendrocyte testing at baseline did not improve performance of the 2017 McDonald criteria. Interpretation The 2017 McDonald criteria for the diagnosis of multiple sclerosis, as applied at the time of incident attack, perform well in identifying children and youth with multiple sclerosis, indicating that the same diagnostic criteria for multiple sclerosis apply across the age span. The presence of so-called black holes on MRI and periventricular lesions at baseline (Verhey criteria) also effectively distinguish children with multiple sclerosis from children with monophasic demyelination. The presence of CSF oligoclonal bands improve diagnostic accuracy. Myelin oligodendrocyte glycoprotein antibodies identify children with acute disseminated encephalomyelitis, and those with relapsing non-multiple sclerosis, most of whom do not meet 2017 McDonald criteria at onset.
引用
收藏
页码:191 / 203
页数:14
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