Measuring retinal vessel tortuosity in 10-year-old children: validation of the Computer-Assisted Image Analysis of the Retina (CAIAR) program

C. G. Owen, A. R. Rudnicka, R. Mullen, S. A. Barman, Dorothy Monekosso, P. H. Whincup, J. Ng, C. Paterson

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    Abstract

    PURPOSE: To examine the agreement of a novel computer program measuring retinal vessel tortuosity with subjective assessment of tortuosity in school-aged children. METHODS: Cross-sectional study of 387 retinal vessels (193 arterioles, 194 veins) from 28 eyes of 14 children (aged 10 years). Retinal digital images were analyzed using the Computer Assisted Image Analysis of the Retina (CAIAR) program, including 14 measures of tortuosity. Vessels were graded (from 0 = none; to 5 = tortuous) independently by two observers. Interobserver agreement was assessed by using kappa statistics. Agreement with all 14 objective measures was assessed with correlation/regression analyses. Intersession repeatability (comparing morning and afternoon sessions) of tortuosity indices was calculated. RESULTS: Interobserver agreement of vessel tortuosity within one grade was high (kappa = 0.97), with total agreement in 56% of grades and 42% differing by +/-1 grade. Tortuosity indices based on subdivided chord length methods showed strong log-linear associations with agreed subjective grades (typically r > 0.6; P
    Original languageEnglish
    Pages (from-to)2004-2010
    JournalINVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE
    Volume50
    Issue number5
    Publication statusPublished (in print/issue) - 1 May 2009

    Bibliographical note

    id: 1; GR: 068362/Z/02/Z/Wellcome Trust/United Kingdom; JID: 7703701; 2009/03/25 [aheadofprint]; ppublish

    Keywords

    • Arterioles/pathology
    • Child
    • Cross-Sectional Studies
    • Humans
    • Image Processing
    • Computer-Assisted/methods
    • Observer Variation
    • Reproducibility of Results
    • Retinal Diseases/diagnosis
    • Retinal Vessels/pathology
    • Venules/pathology

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