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Early prediction of cerebral palsy by computer-based video analysis of general movements: a feasibility study.

Aim The aim of this study was to investigate the predictive value of a computer-based video analysis of the development of cerebral palsy (CP) in young infants. Method A prospective study of general movements used recordings from 30 high-risk infants (13 males, 17 females; mean gestational age 31wks...

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Published in:Developmental Medicine & Child Neurology Vol. 52; no. 8; pp. 773 - 779
Main Authors: Adde L, Helbostad JL, Jensenius AR, Taraldsen G, Grunewaldt KH, Støen R
Format: research Journal Article
Published: Wiley-Blackwell Aug2010
Online Access:View this record in EBSCOhost
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      dt: Aug2010
      vid: 52
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      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        105063262
        2010725046
        10.1111/j.1469-8749.2010.03629.x
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        105063262
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        atl: Early prediction of cerebral palsy by computer-based video analysis of general movements: a feasibility study.
      aug:
        au:
          Adde L
          Helbostad JL
          Jensenius AR
          Taraldsen G
          Grunewaldt KH
          Støen R
        affil: Department of Clinical Services, Physiotherapy Section, St. Olav University Hospital, Trondheim, Norway.
      sug:
        subj:
          Cerebral Palsy Diagnosis
          Diagnosis, Computer Assisted Methods
          Early Diagnosis
          Pilot Studies
          Female
          Human
          Infant, Newborn
          Male
          Predictive Value of Tests
          Prospective Studies
          Severity of Illness Indices
          Videorecording
          Infant, Newborn: birth-1 month
          Female
          Male
      ab: Aim The aim of this study was to investigate the predictive value of a computer-based video analysis of the development of cerebral palsy (CP) in young infants. Method A prospective study of general movements used recordings from 30 high-risk infants (13 males, 17 females; mean gestational age 31wks, SD 6wks; range 23-42wks) between 10 and 15 weeks post term when fidgety movements should be present. Recordings were analysed using computer vision software. Movement variables, derived from differences between subsequent video frames, were used for quantitative analyses. CP status was reported at 5 years. Results Thirteen infants developed CP (eight hemiparetic, four quadriparetic, one dyskinetic; seven ambulatory, three non-ambulatory, and three unknown function), of whom one had fidgety movements. Variability of the centroid of motion had a sensitivity of 85% and a specificity of 71% in identifying CP. By combining this with variables reflecting the amount of motion, specificity increased to 88%. Nine out of 10 children with CP, and for whom information about functional level was available, were correctly predicted with regard to ambulatory and non-ambulatory function. Interpretation Prediction of CP can be provided by computer-based video analysis in young infants. The method may serve as an objective and feasible tool for early prediction of CP in high-risk infants.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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