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Structural network performance for early diagnosis of spastic cerebral palsy in periventricular white matter injury.

Authors
  • Jiang, Haoxiang1, 2, 3
  • Liu, Heng1, 2
  • Huang, Tingting1
  • Wu, Liang1
  • Wu, Fan1
  • Liu, Congcong1
  • Wang, Miaomiao1
  • Jin, Chao1
  • Yang, Jian4, 5
  • Li, Xianjun6
  • 1 Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, China. , (China)
  • 2 The Key Laboratory of Biomedical Information Engineering of the Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China. , (China)
  • 3 Department of Diagnostic Radiology, Xi'an Children Hospital, Xi'an, 710003, China. , (China)
  • 4 Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, China. [email protected] , (China)
  • 5 The Key Laboratory of Biomedical Information Engineering of the Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China. [email protected] , (China)
  • 6 Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, China. [email protected] , (China)
Type
Published Article
Journal
Brain Imaging and Behavior
Publisher
Springer-Verlag
Publication Date
Apr 01, 2021
Volume
15
Issue
2
Pages
855–864
Identifiers
DOI: 10.1007/s11682-020-00295-6
PMID: 32306282
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

Periventricular white matter injury (PWMI) is a common cause of spastic cerebral palsy (SCP). Diffusion tensor imaging (DTI) shows high sensitivity but moderate specificity for predicting SCP. The limited specificity may be due to the diverse and extensive brain injuries seen in infants with PWMI. We enrolled 72 infants with corrected age from 6 to 18 months in 3 groups: PWMI with SCP (n = 20), non-CP PWMI (n = 19), and control (n = 33) groups. We compared DTI-based brain network properties among the three groups and evaluated the diagnostic performance of brain network properties for SCP in PWMI infants. Our results show abnormal global parameters (reduced global and local efficiency, and increased shortest path length), and local parameters (reduced node efficiency) in the PWMI with SCP group. On logistic regression, the combined node efficiency of the bilateral precentral gyrus and right middle frontal gyrus had a high sensitivity (90%) and specificity (95%) for differentiating PWMI with SCP from non-CP PWMI, and significantly correlated with the Gross Motor Function Classification System scores. This study confirms that DTI-based brain network has great diagnostic performance for SCP in PWMI infants, and the combined node efficiency improves the diagnostic accuracy.

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