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Updated: May 8, 2026

Application of Optical Coherence Tomography to a Mouse Model of Retinopathy

Application of Optical Coherence Tomography to a Mouse Model of Retinopathy

Published on: January 12, 2022

Choroidal thickness measurement in children using optical coherence tomography.

Mélanie Bidaut-Garnier¹, Claire Schwartz, Marc Puyraveau

¹*Department of Ophthalmology, University Hospital of Besançon, Besançon, France; †CHU Jean Minjoz, Besançon, France; ‡University of Franche-Comté, Besançon, France and §Clinical Methodology Center, University Hospital of Besançon, Besançon, France.

Retina (Philadelphia, Pa.)

|September 10, 2013

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Choroidal thickness (CT) in children increases with age and is inversely related to axial length. Significant variations in CT exist among children of the same age, highlighting individual differences in ocular development.

Area of Science:

Ophthalmology
Pediatric Ophthalmology
Optical Coherence Tomography

Background:

Choroidal thickness (CT) is a key indicator of ocular health.
Understanding CT development in children is crucial for monitoring eye growth and detecting potential pathologies.
Spectralis enhanced depth imaging optical coherence tomography (EDI-OCT) provides high-resolution choroidal imaging.

Purpose of the Study:

To measure choroidal thickness (CT) in children across various age groups using spectral optical coherence tomography with enhanced depth imaging.
To investigate the relationship between subfoveal CT and ocular axial length, age, gender, weight, and height in children.

Main Methods:

Prospective inclusion of healthy children (aged 3.5–14.9 years) between May and August 2012.

Related Experiment Videos

Last Updated: May 8, 2026

Application of Optical Coherence Tomography to a Mouse Model of Retinopathy

Application of Optical Coherence Tomography to a Mouse Model of Retinopathy

Published on: January 12, 2022

Choroidal imaging at nine macular points using Spectralis enhanced depth imaging (EDI-OCT).

Axial length measurement via IOLMaster; recording of height, weight, and refraction; assessment of interobserver agreement using the Bland-Altman Method.

Main Results:

Mean subfoveal CT was 341.96 ± 74.7 µm in 348 eyes from 174 children.
CT increased with age (r = 0.24, P = 0.017), height, and weight, but not gender (P > 0.05).
CT showed an inverse correlation with axial length (r = 0.24, P = 0.001) and significant variation across macular regions (nasal thinner than temporal).

Conclusions:

In pediatric populations, choroidal thickness (CT) demonstrates a positive correlation with age and a negative correlation with axial length.
Significant inter-individual variability in CT exists among children of similar ages, underscoring the need for age- and length-specific normative data.