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Comparison of the clinical value of MRI classification system of deep gray matter injury in children with cerebral palsy / 西安交通大学学报(医学版)
Journal of Xi'an Jiaotong University(Medical Sciences) ; (6): 174-178,193, 2018.
Article in Chinese | WPRIM | ID: wpr-698222
ABSTRACT
Objective To investigate the reliability of MRI classification and clinical significance of deep gray matter injury(DGMI)in children with cerebral palsy(CP).Methods We made a retrospective assessment of 14 children with gross motor function classification system(GMFCS),manual ability classification system(MACS)and MRI classification system of deep gray matter injury.Based on T2WI,two radiologists worked independently and graded MRI pictures according to three-grading system and four-grading system.To evaluate the reliability of different grading systems,intra-observer and inter-observer agreements were tested by Kappa test.Spearman correlation analysis was performed to analyze the MRI classification system with GMFCS and MACS.Results The Kappa value of the intro-observer and inter-observe agreement of three-grading system was 0.873 and 0.873,respectively (P<0.001).The Kappa value of the intro-observer and inter-observe agreement of four-grading system was 0.901 and 0.611(P<0.001).Three-grading system had no significant correlation with GMFCS(r=0.053,P>0.05)or MACS(r=0.128,P>0.05).Four-grading system had a significant positive correlation with GMFCS(r=0.605, P<0.05)and MACS(r=0.779,P<0.05).Conclusion In the two grading systems,four-grading system is a more repeatable approach for detecting deep gray matter,gross motor function and manual function injuries in children with cerebral palsy.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Practice guideline Language: Chinese Journal: Journal of Xi'an Jiaotong University(Medical Sciences) Year: 2018 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Practice guideline Language: Chinese Journal: Journal of Xi'an Jiaotong University(Medical Sciences) Year: 2018 Type: Article