Automated, quantitative measures of grey and white matter lesion burden correlates with motor and cognitive function in children with unilateral cerebral palsy

Pagnozzi, Alex M., Dowson, Nicholas, Doecke, James, Fiori, Simona, Bradley, Andrew P., Boyd, Roslyn N. and Rose, Stephen (2016) Automated, quantitative measures of grey and white matter lesion burden correlates with motor and cognitive function in children with unilateral cerebral palsy. NeuroImage: Clinical, 11 751-759. doi:10.1016/j.nicl.2016.05.018


Author Pagnozzi, Alex M.
Dowson, Nicholas
Doecke, James
Fiori, Simona
Bradley, Andrew P.
Boyd, Roslyn N.
Rose, Stephen
Title Automated, quantitative measures of grey and white matter lesion burden correlates with motor and cognitive function in children with unilateral cerebral palsy
Journal name NeuroImage: Clinical   Check publisher's open access policy
ISSN 2213-1582
Publication date 2016
Year available 2016
Sub-type Article (original research)
DOI 10.1016/j.nicl.2016.05.018
Open Access Status DOI
Volume 11
Start page 751
End page 759
Total pages 9
Place of publication Amsterdam, Netherlands
Publisher Elsevier BV
Collection year 2017
Language eng
Abstract White and grey matter lesions are the most prevalent type of injury observable in the Magnetic Resonance Images (MRIs) of children with cerebral palsy (CP). Previous studies investigating the impact of lesions in children with CP have been qualitative, limited by the lack of automated segmentation approaches in this setting. As a result, the quantitative relationship between lesion burden has yet to be established. In this study, we perform automatic lesion segmentation on a large cohort of data (107 children with unilateral CP and 18 healthy children) with a new, validated method for segmenting both white matter (WM) and grey matter (GM) lesions. The method has better accuracy (94%) than the best current methods (73%), and only requires standard structural MRI sequences. Anatomical lesion burdens most predictive of clinical scores of motor, cognitive, visual and communicative function were identified using the Least Absolute Shrinkage and Selection operator (LASSO). The improved segmentations enabled identification of significant correlations between regional lesion burden and clinical performance, which conform to known structure-function relationships. Model performance was validated in an independent test set, with significant correlations observed for both WM and GM regional lesion burden with motor function (p < 0.008), and between WM and GM lesions alone with cognitive and visual function respectively (p < 0.008). The significant correlation of GM lesions with functional outcome highlights the serious implications GM lesions, in addition to WM lesions, have for prognosis, and the utility of structural MRI alone for quantifying lesion burden and planning therapy interventions.
Keyword Brain lesion
Cerebral palsy
Magnetic resonance imaging
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: HERDC Pre-Audit
School of Information Technology and Electrical Engineering Publications
Child Health Research Centre Publications
 
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