dc.contributor.author
Weygandt, Martin
dc.contributor.author
Hummel, Hannah-Maria
dc.contributor.author
Schregel, Katharina
dc.contributor.author
Ritter, Kerstin
dc.contributor.author
Allefeld, Carsten
dc.contributor.author
Dommes, Esther
dc.contributor.author
Huppke, Peter
dc.contributor.author
Haynes, John-Dylan
dc.contributor.author
Wuerfel, Jens
dc.contributor.author
Gaertner, Jutta
dc.date.accessioned
2018-06-08T04:07:25Z
dc.date.available
2016-05-17T10:41:33.254Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/16610
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-20791
dc.description.abstract
Currently, it is unclear whether pediatric multiple sclerosis (PMS) is a
pathoetiologically homogeneous disease phenotype due to clinical and
epidemiological differences between early and late onset PMS (EOPMS and
LOPMS). Consequently, the question was raised whether diagnostic guidelines
need to be complemented by specific EOPMS markers. To search for such markers,
we analyzed cerebral MRI images acquired with standard protocols using
computer-based classification techniques. Specifically, we applied
classification algorithms to gray (GM) and white matter (WM) tissue
probability parameters of small brain regions derived from T2-weighted MRI
images of EOPMS patients (onset <12 years), LOPMS patients (onset ≥12 years),
and healthy controls (HC). This was done for PMS subgroups matched for disease
duration and participant age independently. As expected, maximal diagnostic
information for distinguishing PMS patients and HC was found in a
periventricular WM area containing lesions (87.1% accuracy, p < 2.2 × 10−5).
MRI-based biomarkers specific for EOPMS were identified in prefrontal cortex.
Specifically, a coordinate in middle frontal gyrus contained maximal
diagnostic information (77.3%, p = 1.8 × 10−4). Taken together, we were able
to identify biomarkers reflecting pathognomonic processes specific for MS
patients with very early onset. Especially GM involvement in the separation
between PMS subgroups suggests that conventional MRI contains a richer set of
diagnostically informative features than previously assumed.
en
dc.rights.uri
http://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subject
Pediatric multiple sclerosis
dc.subject
Early onset pediatric multiple sclerosis
dc.subject
Diagnostic information
dc.subject.ddc
600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit
dc.title
MRI-based diagnostic biomarkers for early onset pediatric multiple sclerosis
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation
NeuroImage: Clinical. - 7 (2015), S. 400–408
dcterms.bibliographicCitation.doi
10.1016/j.nicl.2014.06.015
dcterms.bibliographicCitation.url
http://www.sciencedirect.com/science/article/pii/S221315821400093X
refubium.affiliation
Charité - Universitätsmedizin Berlin
de
refubium.mycore.fudocsId
FUDOCS_document_000000024553
refubium.resourceType.isindependentpub
no
refubium.mycore.derivateId
FUDOCS_derivate_000000006420
dcterms.accessRights.openaire
open access