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DOI 10.1167/tvst.12.6.11

Медицинская библиотека · Translational vision science & technology · 2023

Fundus Tessellated Density Assessed by Deep Learning in Primary School Children.

Huang Dan, Li Rui, Qian Yingxiao, Ling Saiguang, Dong Zhou, Ke Xin, Yan Qi, Tong Haohai, Wang Zijin, Long Tengfei, Liu Hu, Zhu Hui

СтатьяПоддержка исследования: вне правительства СШАПеревод пока не подготовлен

Аннотация

PURPOSE: To explore associations of fundus tessellated density (FTD) and compare characteristics of different fundus tessellation (FT) distribution patterns, based on artificial intelligence technology using deep learning.

METHODS

Comprehensive ocular examinations were conducted in 577 children aged 7 years old from a population-based cross-sectional study, including biometric measurement, refraction, optical coherence tomography angiography, and 45° nonmydriatic fundus photography. FTD was defined as the average exposed choroid area per unit area of the fundus, and obtained by artificial intelligence technology. The distribution of FT was classified into the macular pattern and the peripapillary pattern according to FTD.

RESULTS

The mean FTD was 0.024 ± 0.026 in whole fundus. Multivariate regression analysis showed that greater FTD was significantly correlated with thinner subfoveal choroidal thickness, larger parapapillary atrophy, greater vessel density inside the optic disc, larger vertical diameter of optic disc, thinner retinal nerve fiber layer, and longer distance from optic disc center to macular fovea (all P < 0.05). The peripapillary distributed group had larger parapapillary atrophy (0.052 ± 0.119 vs 0.031 ± 0.072), greater FTD (0.029 ± 0.028 vs 0.015 ± 0.018), thinner subfoveal choroidal thickness (297.66 ± 60.61 vs 315.33 ± 66.46), and thinner retinal thickness (285.55 ± 10.89 vs 288.03 ± 10.31) than the macular distributed group (all P < 0.05).

CONCLUSIONS

FTD can be applied as a quantitative biomarker to estimate subfoveal choroidal thickness in children. The role of blood flow inside optic disc in FT progression needs further investigation. The distribution of FT and the peripapillary pattern correlated more with myopia-related fundus changes than the macular pattern.

TRANSLATIONAL RELEVANCE: Artificial intelligence can evaluate FT quantitatively in children, and has potential value for assisting in myopia prevention and control.

Для цитирования: Huang Dan, Li Rui, Qian Yingxiao, Ling Saiguang, Dong Zhou, Ke Xin, Yan Qi, Tong Haohai, Wang Zijin, Long Tengfei, Liu Hu, Zhu Hui. Fundus Tessellated Density Assessed by Deep Learning in Primary School Children.. Translational vision science & technology. 2023. DOI: 10.1167/tvst.12.6.11.

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