Essential features of Chiari II malformation in MR imaging: an interobserver reliability study--part 1.
Publication year
2012Source
Child's Nervous System, 28, 7, (2012), pp. 977-85ISSN
Annotation
01 juli 2012
Publication type
Article / Letter to editor
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Organization
Paediatrics - OUD tm 2017
Neurology
Radiology
Health Evidence
Former Organization
Epidemiology, Biostatistics & HTA
Journal title
Child's Nervous System
Volume
vol. 28
Issue
iss. 7
Page start
p. 977
Page end
p. 85
Subject
DCN MP - Plasticity and memory; IGMD 5: Health aging / healthy living; NCEBP 12: Human Reproducion IGMD 3: Genomic disorders and inherited multi-system disorders; NCEBP 2: Evaluation of complex medical interventionsAbstract
PURPOSE: Brain MR imaging is essential in the assessment of Chiari II malformation in clinical and research settings concerning spina bifida. However, the interpretation of morphological features of the malformation on MR images may not always be straightforward. In an attempt to select those features that unambiguously characterize the Chiari II malformation, we investigated the interobserver reliability of all its well-known MR features. METHODS: Brain MR images of 79 children [26 presumed to have Chiari II malformation, 36 presumed to have no cerebral abnormalities, and 17 children in whom some Chiari II malformation features might be present; mean age 10.6 (SD 3.2; range, 6-16) years] were blindly and independently reviewed by three observers. They rated 33 morphological features of the Chiari II malformation as present, absent, or indefinable in three planes (sagittal, axial, and coronal). The interobserver reliability was assessed using kappa statistics. RESULTS: Twenty-three of the features studied turned out to be unreliable, whereas the interobserver agreement was almost perfect (kappa value > 0.8) for nine features (eight in the sagittal plane and one in the axial plane, but none in the coronal plane). CONCLUSIONS: This study presents essential features of the Chiari II malformation on MR images by ruling out the unreliable features. Using these features may improve the assessment of Chiari II malformation in clinical and research settings.
This item appears in the following Collection(s)
- Academic publications [244127]
- Faculty of Medical Sciences [92874]
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