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Fundus Tessellated Density Assessed by Deep Learning in Primary School Children
Dan Huang1, Rui Li1, Yingxiao Qian1
1Department of Ophthalmology, The First Affiliated Hospital With Nanjing Medical University, Nanjing, Jiangsu, China.
Translational Vision Science & Technology
|June 21, 2023
Summary
Artificial intelligence quantifies fundus tessellation density (FTD) in children, revealing associations with thinner choroids and myopia-related changes. This technology aids in myopia prevention and control strategies.
Area of Science:
- Ophthalmology
- Medical Imaging
- Artificial Intelligence
Background:
- Fundus tessellation (FT) is a visible characteristic of the choroid.
- Fundus tessellated density (FTD) is an emerging quantitative measure of FT.
- Understanding FT patterns in children is crucial for myopia research.
Purpose of the Study:
- To explore associations of fundus tessellated density (FTD) using artificial intelligence (AI).
- To compare characteristics of different fundus tessellation (FT) distribution patterns.
- To investigate the potential of AI in evaluating FT quantitatively in pediatric populations.
Main Methods:
- A population-based cross-sectional study of 577 children aged 7 years.
- Ocular examinations included biometry, refraction, OCT angiography, and fundus photography.
- AI-driven technology was used to calculate FTD and classify FT distribution (macular vs. peripapillary patterns).
Main Results:
- Greater FTD correlated with thinner subfoveal choroidal thickness, larger parapapillary atrophy, and increased optic disc vessel density.
- The peripapillary FT pattern group exhibited larger parapapillary atrophy and greater FTD compared to the macular pattern group.
- Significant differences in subfoveal choroidal thickness and retinal thickness were observed between the two FT distribution patterns.
Conclusions:
- FTD serves as a quantitative biomarker for estimating subfoveal choroidal thickness in children.
- The peripapillary FT pattern shows a stronger correlation with myopia-related fundus changes than the macular pattern.
- AI evaluation of FT holds potential value for myopia prevention and control strategies in children.
