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.

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.