Brain Advance Access originally published online on August 2, 2004
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Brain, Vol. 127, No. 9, 1942-1947,
September 2004
© 2004 Guarantors of Brain
doi: 10.1093/brain/awh218
MRI prognostic factors for relapse after acute CNS inflammatory demyelination in childhood
1 Service de Neurologie Pédiatrique, CHU, Angers, Services de 2 Radiologie and 3 Neurologie Pédiatrique, Hôpital Cochin-Saint-Vincent de Paul, AP-HP, Paris, Services de 4 Radiologie and 5 Neurologie Pédiatrique, Hôpital Bicêtre, AP-HP, Le Kremlin-Bicêtre, 6 Service de Neurologie Pédiatrique, Hôpital Roger Salengro, Lille, 7 Service de Neurologie A, Hôpital Neurologique and EDMUS Coordinating Center, Lyon, France and 8 Division of Clinical Epidemiology, McGill University and Royal Victoria Hospital, Montreal, Canada
Correspondence to: Dr Yann Mikaeloff, MD, Service de Neurologie Pédiatrique, Centre Hospitalier Universitaire d'Angers, 4 rue Larrey, 49933 Angers Cedex 9, France E-mail: yann.mikaeloff{at}free.fr
.
Received December 24, 2003. Revised April 9, 2004. Accepted April 14, 2004.
| Summary |
|---|
|
|
|---|
The prognostic factors for relapse of the initial MRI findings after a first episode of acute CNS inflammatory demyelination are unclear in children. In this study we aimed to identify initial MRI factors that are predictive of a second attack and disability after a first episode of acute CNS inflammatory demyelination in childhood. A cohort of 116 children who had a first episode of acute CNS inflammatory demyelination between 1990 and 2002 was studied using survival analysis methods. The initial MRI data were reviewed in a systematic, standardized, double-blind manner. The average follow-up was 4.9 ± 3 years. Multivariate analysis showed that the rate of second attack was higher in patients with corpus callosum long axis perpendicular lesions (34 out of 116 patients, 30%) on the initial MRI [hazard ratio (HR) 2.89; 95% confidence interval (CI) 1.655.06] and/or with the sole presence of well-defined lesions (46 out of 116 patients, 40%) (HR 1.71; 95% CI 1.292.27). Both criteria were more specific predictors (100%) of relapse, demonstrating conversion to multiple sclerosis, than the three Barkhof criteria (63%), but were less sensitive (21% compared with 52%). None of the MRI criteria was predictive of severe disability. Using initial MRI and survival analysis methods, we identified two specific predictors of relapse and conversion to multiple sclerosis after a first episode of acute CNS inflammatory demyelination in childhood. Their low sensitivity, however, shows that this prediction remains difficult.
Key Words: children; cohort; disability; MRI; multiple sclerosis
Abbreviations: ADEM = acute disseminated encephalomyelitis; DSS = Disability Status Scale
| Introduction |
|---|
|
|
|---|
When a first episode of acute CNS inflammatory demyelination occurs in childhood, it would be useful to be able to predict the risk of relapse and disability, both for the families and for future therapeutic decisions. In young to middle-aged adults, the finding of three or more white matter lesions on a T2-weighted MRI is a very sensitive predictor (>80%) of the subsequent development of clinically definite multiple sclerosis within the next 710 years, especially if one of these lesions is located in the periventricular region (Frohman et al., 2003
Patients who suffer from a clinical relapse are usually considered to meet the criteria for multiple sclerosis; this is also the case in young children as the disease can appear before 10 years of age (Duquette et al., 1987
; Ghezzi et al., 1997
, Ghezzi, 2002
; Ruggieri et al., 1999
; Boiko et al., 2002
; Simone et al., 2002
). Acute disseminated encephalomyelitis (ADEM) is usually a monophasic disease that is associated with multifocal neurological symptoms and altered mental state. According to the literature, the MRI criteria for ADEM are: fuzzy, poorly defined lesions and a high lesion load, associated with thalamus and/or basal ganglia lesions (Stonehouse et al., 2003
). However, relapses occur within a 2-year interval in 1030% of patients initially diagnosed with ADEM (Dale et al., 2000
; Hynson et al., 2001
; Tenembaum et al., 2002
; Mikaeloff et al., 2004
). Moreover, inflammation occurring at an isolated CNS site (transverse myelitis, optic neuritis, brainstem dysfunction) can also have a monophasic or recurrent pattern.
We used survival analysis methods to analyse the prognostic value of initial MRI findings concerning the occurrence of a second attack and a severe disability in a large cohort of children with childhood-onset acute CNS inflammatory demyelination.
| Subjects and methods |
|---|
|
|
|---|
Subjects and source of data
Patients came from the French cohort of childhood-onset acute CNS inflammatory demyelination (the KIDMUS neuropaediatric cohort), described in a previous publication (Mikaeloff et al., 2004
|
The study received approval from the CCPPRB (coimté consultatif pour la récherche medicale et biologique).
Data collection
Data were collected from the medical records and entered into a computer system. The criteria for MRI analysis were determined by a group of experts including paediatric and adult neurologists and neuroradiologists (members listed in Acknowledgements). They took into account the new MRI diagnostic criteria for multiple sclerosis (Barkhof et al., 1997
; Tintore et al., 2000
; McDonald et al., 2001
) and other MRI features known to be associated with acute CNS inflammatory demyelination. Initial MRI was performed with 0.5 T magnet or more (usually 1.5 T), with sagittal T1, axial T2 and/or fluid attenuated inversion recovery (FLAIR) sequences. When gadolinium was injected, T1 sequences were acquired at least 5 min after injection. No spectroscopy or diffusion sequences were routinely performed during the study period.
The following terms are used in the text and for clarity are defined here: periventricular lesions: abutted the lateral ventricle or third ventricle surfaces; cortical lesions: located within the grey matter; juxtacortical lesions: located within the subcortical white matter immediately adjacent to grey matter (U fibres); well-defined lesions: lesions with well-defined limits; corpus callosum long axis perpendicular lesions: well-defined ovoid lesions perpendicular to the corpus callosum long axis (Fig. 1A); focal lesions: round or ovoid lesions located in grey (cortex, thalamus and/or basal ganglia) and/or white matter (maximal diameter <2 cm on all the slices where the lesion is seen) (Fig. 1B); large area: irregular-shaped lesion located in grey and/or white matter (maximal diameter >2 cm on all the slices where the lesion is seen) (Fig. 1C); thalamus and basal ganglia lesions: located predominantly within grey matter rather than along the adjacent white matter surface bordering the thalamus, caudate nucleus, putamen or globus pallidus; tumour-like lesion: lesion with mass effect; lesion load with threshold superior or inferior to 50%: ratio of abnormal brain (lesions) versus normal brain considering both the number and the area of the lesions.
|
MRI data were randomly evaluated by one of two teams using a standardized procedure. Each consisted of a paediatric neurologist and an expert paediatric neuroradiologist, blind to clinical symptoms and evolution. Inter-observer concordance was assessed on a sample of 15 randomly selected MRI, blind to clinical symptoms and evolution. Brain MRI was performed in all patients at onset, 26 out of 116 (22%) had additional spinal cord MRI.
Baseline demographic and disease-related data were available for all patients (date of birth, sex, onset date, symptoms, and clinical and MRI characteristics at onset). Each referring practitioner was contacted and asked to liaise with the patients' families. The families were first contacted by letter (for written consent) and subsequently by telephone. A telephone questionnaire was used to confirm residual disability and the incidence of further neurological episodes. Patients were considered lost to follow-up (nine out of 116, 8%) when their last data were >2 years old. The mean duration of follow-up for these nine patients was 2.5 years (range 0.67), age at onset of the disease was >10 years in four out of nine, three out of nine had a second attack, and three out of nine reached a Disability Status Scale (DSS) score of
4.
Prognostic factors and outcomes
The outcomes included a second attack and a DDS score of
4 (Kurtzke, 1983
). A second attack at least 1 month after the first attack qualified for conversion to multiple sclerosis, as defined in a previously published article on the same cohort (Mikaeloff et al., 2004
). For the final diagnosis of multiple sclerosis, we used the gold standard for comparison, which is the subsequent development of multiple sclerosis by purely clinical criteria of dissemination in time and space, i.e. clinically definite multiple sclerosis (Poser et al., 1983
; Frohman et al., 2003
). A DSS score was considered irreversible when confirmed for a minimum of 12 months.
Statistical analyses
Descriptive data were compared using the
2-test or Fisher's exact test for proportions, and the t-test or the Wilcoxon test for continuous measures. Time zero for the survival analysis was taken as the date of the very first cohort-defining episode. The end-point was the date when the outcome occurred. For event-free subjects, the follow-up period ended on the date of the last known visit, at which point the time was censored. Survival curves were estimated using the KaplanMeier method. Cox's proportional hazards model was used to evaluate the prognostic value of each MRI factor measured at onset. Variables with a significance level of P < 0.20 in the univariate analyses were included in the multiple regression analysis with backward elimination of variables to identify the set of variables with independent prognostic significance. A variable with P < 0.05 was considered significantly associated with the survival function.
Numbers of true positives [TP; MRI criteria considered positive, second attack (disease)], true negatives (TN; MRI criteria considered negative, no second attack), false positives (FP; MRI criteria considered positive, no second attack) and false negatives (FN; MRI criteria considered negative, second attack) were used to determine the following: (i) sensitivity: the proportion of tests that identified disease among those with the disease (TP/TP + FN); (ii) specificity: the proportion of tests that found no disease among those who do not have the disease (TN/TN + FP); (iii) positive predictive value: the proportion of patients with a positive test result who have the disease (TP/TP + FP); (iv) negative predictive value: the proportion of patients with a negative test result who do not have the disease (TN/TN + FN); and (v) accuracy: the proximity to the true value (TP + TN/TP + TN + FN + FP). Analyses were performed using the SPSS software for Windows (version 11.5).
| Results |
|---|
|
|
|---|
Fifty-two patients out of 116 (45%) had a second attack and therefore met the criteria for clinically definite multiple sclerosis; 33 (28%) were >10 years of age; and 10 (9%) were initially diagnosed with ADEM. Fifty patients (43%) were diagnosed with monophasic ADEM and 14 (12%) had another monophasic episode (transverse myelitis, optic neuritis, brainstem dysfunction). The initial MRI characteristics associated with the occurrence or absence of a second attack are reported in Table 2. Corpus callosum long axis perpendicular lesions, focal lesions, the sole presence of well-defined lesions and total number of lesions greater than nine were significantly associated with the occurrence of a second attack. A large area and a lesion load >50% were significantly associated with a monophasic disease. Thalamus and/or basal ganglia lesions were equally frequent in both monophasic and recurrent diseases.
|
The results of multivariate Cox survival analysis are reported in Table 3. For all patients, only corpus callosum long axis perpendicular lesion and/or the sole presence of well-defined lesions were significantly associated with the occurrence of a second attack. We assessed survival functions as regards to the time preceding the second attack (Fig. 2) according to corpus callosum long axis perpendicular lesions and the sole presence of well-defined lesions (i.e. the two MRI KIDMUS criteria). For patients with those lesions, the mean time between the first and second attacks was 1.1 years (range 0.41.8), compared with 7.1 (range 5.78.5) for those without these two lesions (P < 0.001).
|
|
Fifty-one (44%) of the 116 patients had three Barkhof criteria (25 with age at onset >10 years; 27 relapsing), 30 (26%) had four Barkhof criteria (12 with age at onset >10 years; 17 relapsing), and 11 (9.5%) had the two MRI KIDMUS criteria (10 with age at onset >10 years; 11 relapsing). The two MRI KIDMUS criteria were more specific predictors of relapse than the Barkhof criteria (Table 4). However, the two MRI KIDMUS criteria were less sensitive than the Barkhof criteria. All criteria were less sensitive in the younger patients.
|
By the end of the follow-up period, 96 (83%) of the 116 patients had either no disability or a disability score of between 1 and 3. Ten (17%) patients had a disability score of 3, and 14 (12%) had a disability score of
4. In multivariate Cox analysis, having an irreversible DSS score of
4 was not associated with MRI covariates. None of the MRI criteria was predictive of the occurrence of severe disability. | Discussion |
|---|
|
|
|---|
This is the first study to use wide inclusion criteria related to all possible onsets of multiple sclerosis in childhood to assess MRI prognostic factors for relapse and disability without bias due to the mode of inclusion. To improve data accuracy (MRI quality at the first attack), we limited the date of eligibility. Hospital-based selection bias is possible but limited because most paediatric patients are referred to a reference centre in their geographical area at least once. We excluded patients with conditions that can mimic multiple sclerosis or the associated MRI findings, including patients with a previous neurological abnormality or with an infectious, metabolic or systemic immunological disorder. As recommended when comparing outcomes, we used the subsequent development of multiple sclerosis by the purely clinical criteria of dissemination in time and space (Frohman et al., 2003
Our multivariate survival analysis showed that two MRI criteria, corpus callosum long axis perpendicular lesions and sole presence of well-defined lesions, are predictive of a second attack and conversion to multiple sclerosis. They were selected as the most powerful prognostic factors among all other MRI criteria in multivariate survival analysis. They were more specific predictors of relapse, meeting the criteria for conversion to multiple sclerosis, than the Barkhof criteria. However, they were less sensitive, and concerned only 9.5% of all patients. The association between large area and monophasic disease was of interest, but large area was not a sufficiently powerful prognostic factor to be retained in the multivariate survival analysis.
Corpus callosum long axis perpendicular lesions, also known as Dawson's fingers, have been attributed to perivenular inflammation and are considered to be a relatively specific indicator of multiple sclerosis (Osborn, 1994
; Palmer et al., 1999
). Their pattern is characteristic, with ovoid plaques in which the long axis is perpendicular to the corpus callosum long axis (which is also the long axis of the whole brain). These lesions are part of subcallosal striations that can be precisely described on sagittal, thin-section, FLAIR MRI sequences (Palmer et al., 1999
). The sole presence of well-defined lesions is evocative of multiple sclerosis (Barkhof et al., 1997
). The new McDonald criteria for the diagnosis of multiple sclerosis do not include this information. However, we standardized the evaluation of limits of lesions by examiners and included it in our study, owing to its value for the description of ADEM characteristics in children (Hynson et al., 2001
).
The length of patient follow-up varied in our cohort. A recent report on the usefulness of MRI for the confirmation of suspected multiple sclerosis in adults showed that measures of sensitivity and specificity, as well as predictive values and accuracy, do not take into account the varying lengths of follow-up periods (Frohman et al., 2003
). The same report stressed the scarcity of studies using survival analysis methods and showed how essential they are to circumvent the limitation of the varying lengths of follow-up periods. The main objective of this study was to compare multiple independent MRI criteria using survival analysis methods, rather than to estimate sensitivity and specificity measures.
In our previous study, multivariate survival analysis showed that the second attack occurs later if the first attack occurs before the age of 10 years (Mikaeloff et al., 2004
). In the present study, we confirmed that the Barkhof criteria are not adapted to younger children (<10 years of age), as evoked by the International Panel (McDonald et al., 2001
). However, even using initial MRI, survival analysis methods and a 5-year mean follow-up, it remained difficult to predict conversion to multiple sclerosis after a first episode of acute CNS inflammatory demyelination in young children.
None of the MRI criteria predicted the occurrence of severe disability. However, a more prolonged follow-up might help to identify such criteria. In adults, a moderate association has been reported between increases in volume of the lesions seen on brain MRI in the first 5 years and the degree of long-term disability (Brex et al., 2002
). Advances in neuroimaging techniques (diffusion sequence, etc.) will help to define more sensitive and/or specific predictors for disability. We intend to study the evolution of MRI using time as a prognostic factor for second attack and disability.
| FOOTNOTES |
|---|
* Members of the KIDMUS Study Group on Radiology are listed in the Acknowledgements
| Acknowledgements |
|---|
We wish to thank all the participants in the KIDMUS study group. The study was funded by the Association pour la Recherche sur la Sclérose En Plaques (ARSEP, France). S.S. is the recipient of a Distinguished Senior Scientist award from the Canadian Institute of Health Research (CIHR).
Members of the KIDMUS Study Group on Radiology: Paediatric Neurology departments: P. Aubourg, O. Dulac, M. L. Moutard, D. Ville (Hôpital Saint-Vincent de Paul, Paris, France); M. A. Barthez, P. Castelnau (Tours, France); J. M. Cuisset (Lille, France); P. Landrieu (Bicêtre, France); S. Nguyen (Nantes, France); F. Pouplard (Angers, France).
Members of the expert group: adult neurologists: C. Confavreux (Lyon, France), C. Lubetzki (Paris, France); neuroradiologists: C. Adamsbaum (Paris, France), B. Husson (Bicêtre, France), A. Tourbah (Paris, France); paediatric neurologists: Y. Mikaeloff (Angers, France), M. Tardieu (Bicêtre, France), L. Vallée (Lille, France).
| References |
|---|
|
|
|---|
Barkhof F, Filippi M, Miller DH, Scheltens P, Campi A, Polman CH, et al. Comparison of MRI criteria at first presentation to predict conversion to clinically definite multiple sclerosis. Brain 1997; 120: 205969.
Boiko A, Vorobeychik G, Paty D, Devonshire V, Sadovnick D, University of British Columbia MS Clinic Neurologists. Early onset multiple sclerosis: a longitudinal study. Neurology 2002; 59: 100610.
Brex PA, Ciccarelli O, O'Riordan JI, Sailer M, Thompson AJ, Miller DH. A longitudinal study of abnormalities on MRI and disability from multiple sclerosis. N Engl J Med 2002; 346: 15864.
Dale RC, de Sousa C, Chong WK, Cox TC, Harding B, Neville BG. Acute disseminated encephalomyelitis, multiphasic disseminated encephalomyelitis and multiple sclerosis in children. Brain 2000; 123: 240722.
Duquette P, Murray TJ, Pleines J, Ebers GC, Sadovnick D, Weldon P, et al. Multiple sclerosis in childhood: clinical profile in 125 patients. J Pediatr 1987; 111: 35963.[CrossRef][Web of Science][Medline]
Frohman EM, Goodin DS, Calabresi PA, Corboy JR, Coyle PK, Filippi M, et al. The utility of MRI in suspected MS: report of the Therapeutics and Technology Assessment Subcommittee of the American Academy of Neurology. Neurology 2003; 61: 60211.
Ghezzi A, Deplano V, Faroni J, Grasso MG, Liguori M, Marrosu G, et al. Multiple sclerosis in childhood: clinical features of 149 cases. Mult Scler 1997; 3: 436.
Ghezzi A, Pozzilli C, Liguori M, Marrosu MG, Milani N, Milanese C, et al. Prospective study of multiple sclerosis with early onset. Mult Scler 2002; 8: 1158.
Hynson JL, Kornberg AJ, Coleman LT, Shield L, Harvey AS, Kean MJ. Clinical and neuroradiologic features of acute disseminated encephalomyelitis in children. Neurology 2001; 56: 130812.
Kurtzke JF. Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS). Neurology 1983; 33: 144452.
McDonald WI, Compston A, Edan G, Goodkin D, Hartung HP, Lublin FD, et al. Recommended diagnostic criteria for multiple sclerosis: guidelines from the International Panel on the diagnosis of multiple sclerosis. Ann Neurol 2001; 50: 1217.[CrossRef][Web of Science][Medline]
Mikaeloff Y, Suissa S, Vallee L, Lubetzki C, Ponsot G, Confavreux C, et al. First episode of acute CNS inflammatory demyelination in childhood: prognostic factors for multiple sclerosis and disability. J Pediatr 2004; 144: 24652.[CrossRef][Web of Science][Medline]
Osborn AG, editor. Diagnostic neuroradiology. St Louis: Mosby; 1994.
Palmer S, Bradley WG, Chen D-Y, Patel S. Subcallosal striations: early findings of multiple sclerosis on sagittal, thin-section, fast FLAIR MR images. Radiology 1999; 210: 14953.
Poser CM, Paty DW, Scheinberg L, McDonald WI, Davis FA, Ebers GC, et al. New diagnostic criteria for multiple sclerosis: guidelines for research protocols. Ann Neurol 1983; 13: 22731.[CrossRef][Web of Science][Medline]
Ruggieri M, Polizzi A, Pavone L, Grimaldi LME. Multiple sclerosis in children under 6 years of age. Neurology 1999; 53: 47884.
Simone IL, Carrara D, Tortorella C, Liguori M, Lepore V, Pellegrini F, et al. Course and prognosis in early-onset MS: comparison with adult-onset forms. Neurology 2002; 59: 19228.
Stonehouse M, Gupte G, Wassmer E, Whitehouse WP. Acute disseminated encephalomyelitis: recognition in the hands of general paediatricians. Arch Dis Child 2003; 88: 1224.
Tenembaum S, Chamoles N, Fejerman N. Acute disseminated encephalomyelitis: a long-term follow-up study of 84 pediatric patients. Neurology 2002; 59: 122431.
Tintore M, Rovira A, Martinez MJ, Rio J, Diaz-Villoslada P, Brieva L, et al. Isolated demyelinating syndromes: comparison of different MR imaging criteria to predict conversion to clinically definite multiple sclerosis. AJNR Am J Neuroradiol 2000; 21: 7026.
Wingerchuk DM. Postinfectious encephalomyelitis. Curr Neurol Neurosci Rep 2003; 3: 25664.[Medline]
![]()
CiteULike
Connotea
Del.icio.us What's this?
This article has been cited by other articles:
![]() |
E. Waubant, D. Chabas, D. T. Okuda, O. Glenn, E. Mowry, R. G. Henry, J. B. Strober, B. Soares, M. Wintermark, and D. Pelletier Difference in Disease Burden and Activity in Pediatric Patients on Brain Magnetic Resonance Imaging at Time of Multiple Sclerosis Onset vs Adults Arch Neurol, August 1, 2009; 66(8): 967 - 971. [Abstract] [Full Text] [PDF] |
||||
![]() |
Y. Mikaeloff, G. Caridade, S. Suissa, M. Tardieu, and on Behalf of the KIDSEP Study Group Clinically Observed Chickenpox and the Risk of Childhood-onset Multiple Sclerosis Am. J. Epidemiol., May 15, 2009; 169(10): 1260 - 1266. [Abstract] [Full Text] [PDF] |
||||
![]() |
T. Chitnis and I. Pirko Sensitivity vs specificity: Progress and pitfalls in defining MRI criteria for pediatric MS Neurology, March 17, 2009; 72(11): 952 - 953. [Full Text] [PDF] |
||||
![]() |
D.J.A. Callen, M. M. Shroff, H. M. Branson, T. Lotze, D. K. Li, D. Stephens, and B. L. Banwell MRI in the diagnosis of pediatric multiple sclerosis Neurology, March 17, 2009; 72(11): 961 - 967. [Abstract] [Full Text] [PDF] |
||||
![]() |
Y. Mikaeloff, G. Caridade, S. Suissa, and M. Tardieu Hepatitis B vaccine and the risk of CNS inflammatory demyelination in childhood Neurology, March 10, 2009; 72(10): 873 - 880. [Abstract] [Full Text] [PDF] |
||||
![]() |
A. Suppiej, R. Manara, L. De Palma, D. De Grandis, V. Citton, and P. A. Battistella Multiphasic Acute Disseminated Encephalomyelitis or Pediatric Multiple Sclerosis: Report of an Atypical Case J Child Neurol, February 1, 2009; 24(2): 241 - 246. [Abstract] [PDF] |
||||
![]() |
B. Banwell, J. Kennedy, D. Sadovnick, D. L. Arnold, S. Magalhaes, K. Wambera, M. B. Connolly, J. Yager, J. K. Mah, N. Shah, et al. Incidence of acquired demyelination of the CNS in Canadian children Neurology, January 20, 2009; 72(3): 232 - 239. [Abstract] [Full Text] [PDF] |
||||
![]() |
D. Chabas, T. Castillo-Trivino, E. M. Mowry, J. B. Strober, O. A. Glenn, and E. Waubant Vanishing MS T2-bright lesions before puberty: A distinct MRI phenotype? Neurology, September 30, 2008; 71(14): 1090 - 1093. [Abstract] [Full Text] [PDF] |
||||
![]() |
B. L. Banwell Into the looking glass: Predicting MS in children experiencing a first demyelinating event Neurology, September 23, 2008; 71(13): 962 - 963. [Full Text] [PDF] |
||||
![]() |
R. F. Neuteboom, M. Boon, C. E. Catsman Berrevoets, J. S. Vles, R. H. Gooskens, H. Stroink, R. J. Vermeulen, J. J. Rotteveel, I. A. Ketelslegers, E. Peeters, et al. Prognostic factors after a first attack of inflammatory CNS demyelination in children Neurology, September 23, 2008; 71(13): 967 - 973. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. Mesaros, M. A. Rocca, M. Absinta, A. Ghezzi, N. Milani, L. Moiola, P. Veggiotti, G. Comi, and M. Filippi Evidence of thalamic gray matter loss in pediatric multiple sclerosis Neurology, March 25, 2008; 70(13_Part_2): 1107 - 1112. [Abstract] [Full Text] [PDF] |
||||
![]() |
Y. Mikaeloff, G. Caridade, M. Rossier, S. Suissa, and M. Tardieu Hepatitis B Vaccination and the Risk of Childhood-Onset Multiple Sclerosis Arch Pediatr Adolesc Med, December 1, 2007; 161(12): 1176 - 1182. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. de Seze, M. Debouverie, H. Zephir, C. Lebrun, F. Blanc, V. Bourg, S. Wiertlewski, S. Pittion, D. Laplaud, E. Le Page, et al. Acute Fulminant Demyelinating Disease: A Descriptive Study of 60 Patients Arch Neurol, October 1, 2007; 64(10): 1426 - 1432. [Abstract] [Full Text] [PDF] |
||||
![]() |
Y. Mikaeloff, G. Caridade, M. Tardieu, S. Suissa, and on behalf of the KIDSEP study group Parental smoking at home and the risk of childhood-onset multiple sclerosis in children Brain, October 1, 2007; 130(10): 2589 - 2595. [Abstract] [Full Text] [PDF] |
||||
![]() |
C. Renoux, S. Vukusic, Y. Mikaeloff, G. Edan, M. Clanet, B. Dubois, M. Debouverie, B. Brochet, C. Lebrun-Frenay, J. Pelletier, et al. Natural History of Multiple Sclerosis with Childhood Onset N. Engl. J. Med., June 21, 2007; 356(25): 2603 - 2613. [Abstract] [Full Text] [PDF] |
||||
![]() |
L. B. Krupp, B. Banwell, S. Tenembaum, and for the International Pediatric MS Study Group Consensus definitions proposed for pediatric multiple sclerosis and related disorders Neurology, April 17, 2007; 68(16_suppl_2): S7 - S12. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. Tenembaum, T. Chitnis, J. Ness, J. S. Hahn, and for the International Pediatric MS Study Group Acute disseminated encephalomyelitis Neurology, April 17, 2007; 68(16_suppl_2): S23 - S36. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. M. Ness, D. Chabas, A. D. Sadovnick, D. Pohl, B. Banwell, B. Weinstock-Guttman, and for the International Pediatric MS Study Group Clinical features of children and adolescents with multiple sclerosis Neurology, April 17, 2007; 68(16_suppl_2): S37 - S45. [Abstract] [Full Text] [PDF] |
||||
![]() |
B. Banwell, M. Shroff, J. M. Ness, D. Jeffery, S. Schwid, B. Weinstock-Guttman, and for the International Pediatric MS Study Group MRI features of pediatric multiple sclerosis Neurology, April 17, 2007; 68(16_suppl_2): S46 - S53. [Abstract] [Full Text] [PDF] |
||||
![]() |
Y. Mikaeloff, G. Caridade, S. Assi, M. Tardieu, S. Suissa, and on behalf of the KIDSEP study group of the French Hepatitis B vaccine and risk of relapse after a first childhood episode of CNS inflammatory demyelination Brain, April 1, 2007; 130(4): 1105 - 1110. [Abstract] [Full Text] [PDF] |
||||
![]() |
Y. Mikaeloff, G. Caridade, S. Assi, S. Suissa, M. Tardieu, and on behalf of the KIDSEP Study Group Prognostic Factors for Early Severity in a Childhood Multiple Sclerosis Cohort Pediatrics, September 1, 2006; 118(3): 1133 - 1139. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. Rovaris, A. Gambini, A. Gallo, A. Falini, A. Ghezzi, B. Benedetti, M. P. Sormani, V. Martinelli, G. Comi, and M. Filippi Axonal injury in early multiple sclerosis is irreversible and independent of the short-term disease evolution Neurology, November 22, 2005; 65(10): 1626 - 1630. [Abstract] [Full Text] [PDF] |
||||
![]() |
T. Menge, B. Hemmer, S. Nessler, H. Wiendl, O. Neuhaus, H.-P. Hartung, B. C. Kieseier, and O. Stuve Acute Disseminated Encephalomyelitis: An Update Arch Neurol, November 1, 2005; 62(11): 1673 - 1680. [Abstract] [Full Text] [PDF] |
||||
![]() |
R C Dale and J A Branson Acute disseminated encephalomyelitis or multiple sclerosis: can the initial presentation help in establishing a correct diagnosis? Arch. Dis. Child., June 1, 2005; 90(6): 636 - 639. [Abstract] [Full Text] [PDF] |
||||
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||










