Association of iris surface features with iris parameters assessed by swept-source optical coherence tomography in Asian eyes.
Br J Ophthalmol
; 100(12): 1682-1685, 2016 Dec.
Article
em En
| MEDLINE
| ID: mdl-26994112
BACKGROUND/AIMS: To characterise the association of iris surface features (crypts, furrows and colour) with iris volume and curvature assessed by swept-source optical coherence tomography (SSOCT) in Asian eyes. METHODS: Iris crypts (by number and size) and furrows (by number and circumferential extent) were graded from iris photographs. Iris colour was measured by a customised algorithm written on MATLAB (MathWorks, Natick, Massachusetts, USA). The iris was imaged by SSOCT (SS-1000, CASIA, Tomey, Nagoya, Japan). The associations of surface features with iris parameters were analysed using a generalised estimating equation. RESULTS: A total of 1704 subjects (3297 eyes) were included in the analysis. The majority was Chinese (86.4%), and 63.2% were females, and their mean age (±SD) was 61.4±6.6â
years. After adjusting for age, sex, ethnicity, pupil size and corneal arcus, higher iris crypt grade was independently associated with smaller iris volume (ß=-0.54, p<0.001), whereas darker irides and higher iris furrow grade were associated with larger iris volume (ß=-0.041, p<0.001) and (ß=0.233, p<0.001), respectively. Lighter coloured irides with more crypts and/or more furrows were also associated with less convexity (crypts: ß=-0.003, p=0.03; furrows: ß=-0.004, p=0.007; and colour: ß=-0.001, p=0.005). CONCLUSIONS: Iris surface features were highly correlated with iris volume and curvature. Irides with more crypts have a smaller volume; and darker irides with more furrows have a larger volume. Lighter irides with more crypts and/or furrows have less convexity.
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Texto completo:
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Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Glaucoma de Ângulo Fechado
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Iris
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Tomografia de Coerência Óptica
Tipo de estudo:
Diagnostic_studies
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Incidence_studies
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Observational_studies
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Prevalence_studies
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Prognostic_studies
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Risk_factors_studies
Limite:
Female
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Humans
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Male
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Middle aged
País/Região como assunto:
Asia
Idioma:
En
Ano de publicação:
2016
Tipo de documento:
Article