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Dataset Information

Development and validation of a novel model based on hand knob score and white matter injury on MRI to predict hand function in children with cerebral palsy.


ABSTRACT:

Background

Childhood hand function is considered to be one of the strongest predictors of the ability to participate in daily activities as children with cerebral palsy (CP) reach adulthood. The manual ability classification system (MACS) is currently the most widely used for grading hand function in children with CP. However, the MACS method is subjective and may be affected by the raters' experience. Hand knob is an important control center for hand movement. Therefor this study aimed to develop and validate an objective model for hand function estimation in children with CP and visualize it as a nomogram.

Methods

A total of 70 Children (2-12 years old) with CP underwent magnetic resonance imaging (MRI) scanning, MACS assessment. According to MACS, children with CP were di

SUBMITTER: Zhang JJ 

PROVIDER: S-EPMC9652546 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature