Classification of multiple sclerosis patients by latent class analysis of magnetic resonance imaging characteristics

Multiple Sclerosis

Volumn 12, Issue 5, 2006, Pages 565-572

  Zwemmer, J N P ^a   Berkhof, J ^a   Castelijns, J A ^a   Barkhof, F ^a   Polman, C H ^a   Uitdehaag, B M J ^a  

^a VU UNIVERSITY MEDICAL CENTER   (Netherlands)

Author keywords

Heterogeneity; Latent class analysis; MRI; Multiple sclerosis

Indexed keywords

ADULT; ARTICLE; BRAIN REGION; CLINICAL ARTICLE; CLINICAL FEATURE; COGNITIVE DEFECT; CONTROLLED STUDY; DEMOGRAPHY; DISEASE CLASSIFICATION; FEMALE; HUMAN; LABORATORY TEST; LATENT PERIOD; MALE; MULTIPLE SCLEROSIS; NUCLEAR MAGNETIC RESONANCE IMAGING; SCORING SYSTEM; SPINAL CORD; BLOOD; CEREBROSPINAL FLUID; CLASSIFICATION; COMPARATIVE STUDY; DIFFERENTIAL DIAGNOSIS; IMMUNOLOGY; MIDDLE AGED; NEUROPSYCHOLOGICAL TEST; NONPARAMETRIC TEST; PATHOLOGY; PATHOPHYSIOLOGY;

ANTIBODY; FERRITIN; GLIAL FIBRILLARY ACIDIC PROTEIN; NERVE GROWTH FACTOR; NEUROFILAMENT PROTEIN; PROTEIN S 100; S 100 CALCIUM BINDING PROTEIN BETA SUBUNIT; S-100 CALCIUM-BINDING PROTEIN BETA SUBUNIT;

ADULT; ANTIBODIES; DIAGNOSIS, DIFFERENTIAL; FEMALE; FERRITINS; GLIAL FIBRILLARY ACIDIC PROTEIN; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; MULTIPLE SCLEROSIS; NERVE GROWTH FACTORS; NEUROFILAMENT PROTEINS; NEUROPSYCHOLOGICAL TESTS; S100 PROTEINS; STATISTICS, NONPARAMETRIC;

EID: 34250661447     PISSN: 13524585     EISSN: None     Source Type: Journal    
DOI: 10.1177/1352458506070759     Document Type: Article

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