Artificial intelligence-based quantitative analysis of interocular retinal vascular differences in school-age children with mild to moderate anisometropia.
Bigger interocular difference in optic disc rim-to-disc ratio linked to more anisometropia in children
Artificial intelligence-based quantitative analysis of interocular retinal vascular differences in school-age children with mild to moderate anisometropia.
To apply artificial intelligence (artificial intelligence) technology for the quantitative analysis of interocular retinal vascular differences in color fundus photographs (color fundus photographs) among school-age children with mild to moderate anisometropia and to investigate their correlation with the degree of anisometropia.
In this retrospective cross-sectional study, 33 children aged 6-9 years with mild to moderate anisometropia were enrolled.
Eyes with lower SE values exhibited significantly higher fundus tessellation density, larger fundus tessellation areas across all regions, greater peripapillary atrophy area and extent, a larger optic disc ovality index, higher total vessel length density, and higher arterial fractal dimensions (D0, D1) compared to eyes with higher SE values.
In contrast, the horizontal cup-to-disc ratio and the average venous tortuosity were significantly lower in the lower SE eyes (all P < 0.05).
No significant linear associations were found between the degree of anisometropia and the interocular differences in other fundus parameters (all P > 0.05).
Significant interocular differences in fundus structures are present in children with mild to moderate anisometropia.
The magnitude of interocular difference in the peripapillary atrophy-to-optic disc diameter ratio shows a significant correlation with the degree of anisometropia.
artificial intelligence-based quantitative analysis provides an objective imaging basis for the early identification of anisometropia.