Relapsing neuromyelitis optica and relapsing-remitting multiple sclerosis: differentiation at diffusion-tensor MR imaging of corpus callosum. 2007

Chun Shui Yu, and Chao Zhe Zhu, and Kun Cheng Li, and Yun Xuan, and Wen Qin, and Hong Sun, and Piu Chan
Department of Radiology, Xuanwu Hospital, Capital University of Medical Sciences, 45 Chang-Chun St, Xuanwu District, Beijing 100053, People's Republic of China.

OBJECTIVE To prospectively assess sensitivity and specificity of diffusion indexes of the corpus callosum (CC) for differentiating relapsing neuromyelitis optica (RNMO) from relapsing-remitting multiple sclerosis (RRMS), by using final clinical diagnosis as the reference standard. METHODS Participants provided informed consent; the study was approved by the institutional review board. Forty-six consecutive patients with RRMS (18 men, 28 women; mean age, 37.7 years; range, 18-58 years) and 26 consecutive patients with RNMO (two men, 24 women; mean age, 38.6 years; range, 19-59 years) underwent diffusion-tensor magnetic resonance imaging. Mean diffusivity (MD) and fractional anisotropy (FA) of the region of interest (ROI) of the CC in the midsagittal plane were measured and used as discriminative indexes. Bayesian classification with leave-one-out cross-validation was used to determine diagnostic accuracy. Differences in diffusion indexes of ROIs among groups were evaluated by using the Kruskal-Wallis test, followed by the Mann-Whitney U test for multiple comparisons and Bonferroni correction. RESULTS Mean MD (8.48 x 10(-4) mm(2)/sec) and FA (0.729) of the ROI in patients with RNMO were significantly (P<.001) different from those (MD=10.64 x 10(-4) mm(2)/sec, FA=0.599) in patients with RRMS. Sensitivity and specificity for differentiation were 92.3% (24 of 26 patients with RNMO) and 93.5% (43 of 46 patients with RRMS) for FA and 88.5% (23 of 26 patients with RNMO) and 89.1% (41 of 46 patients with RRMS) for MD, respectively. CONCLUSIONS Measurement of diffusion indexes of the CC may be useful for distinguishing patients with RNMO from those with RRMS.

UI MeSH Term Description Entries
D007091 Image Processing, Computer-Assisted A technique of inputting two-dimensional or three-dimensional images into a computer and then enhancing or analyzing the imagery into a form that is more useful to the human observer. Biomedical Image Processing,Computer-Assisted Image Processing,Digital Image Processing,Image Analysis, Computer-Assisted,Image Reconstruction,Medical Image Processing,Analysis, Computer-Assisted Image,Computer-Assisted Image Analysis,Computer Assisted Image Analysis,Computer Assisted Image Processing,Computer-Assisted Image Analyses,Image Analyses, Computer-Assisted,Image Analysis, Computer Assisted,Image Processing, Biomedical,Image Processing, Computer Assisted,Image Processing, Digital,Image Processing, Medical,Image Processings, Medical,Image Reconstructions,Medical Image Processings,Processing, Biomedical Image,Processing, Digital Image,Processing, Medical Image,Processings, Digital Image,Processings, Medical Image,Reconstruction, Image,Reconstructions, Image
D008297 Male Males
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D009471 Neuromyelitis Optica A syndrome characterized by acute OPTIC NEURITIS; MYELITIS, TRANSVERSE; demyelinating and/or necrotizing lesions in the OPTIC NERVES and SPINAL CORD; and presence of specific autoantibodies to AQUAPORIN 4. Devic Disease,Devic's Neuromyelitis Optica,Devic Neuromyelitis Optica,Devic Syndrome,Devic's Disease,Devic's Syndrome,NMO Spectrum Disorder,Neuromyelitis Optica (NMO) Spectrum Disorder,Neuromyelitis Optica (NMO) Spectrum Disorders,Neuromyelitis Optica Spectrum Disorder,Neuromyelitis Optica Spectrum Disorders,Devic Neuromyelitis Opticas,Devics Disease,Devics Neuromyelitis Optica,Devics Syndrome,Disease, Devic,Disease, Devic's,NMO Spectrum Disorders,Neuromyelitis Optica, Devic,Neuromyelitis Optica, Devic's,Neuromyelitis Opticas, Devic,Syndrome, Devic,Syndrome, Devic's
D011446 Prospective Studies Observation of a population for a sufficient number of persons over a sufficient number of years to generate incidence or mortality rates subsequent to the selection of the study group. Prospective Study,Studies, Prospective,Study, Prospective
D012008 Recurrence The return of a sign, symptom, or disease after a remission. Recrudescence,Relapse,Recrudescences,Recurrences,Relapses
D003337 Corpus Callosum Broad plate of dense myelinated fibers that reciprocally interconnect regions of the cortex in all lobes with corresponding regions of the opposite hemisphere. The corpus callosum is located deep in the longitudinal fissure. Interhemispheric Commissure,Neocortical Commissure,Callosum, Corpus,Callosums, Corpus,Commissure, Interhemispheric,Commissure, Neocortical,Commissures, Interhemispheric,Commissures, Neocortical,Corpus Callosums,Interhemispheric Commissures,Neocortical Commissures
D003937 Diagnosis, Differential Determination of which one of two or more diseases or conditions a patient is suffering from by systematically comparing and contrasting results of diagnostic measures. Diagnoses, Differential,Differential Diagnoses,Differential Diagnosis
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man

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