Publication Details

AFRICAN RESEARCH NEXUS

SHINING A SPOTLIGHT ON AFRICAN RESEARCH

arts and humanities

Correlation of the macular microvasculature to the axial length in pediatric patients with high axial refractive errors

Eye (Basingstoke), Year 2023

Aims: To compare the vascular density (VD) of the macular superficial capillary plexus (SCP), deep capillary plexus (DCP), and choriocapillaris (CC), and the foveal avascular zone (FAZ) among high hyperopic, high myopic, and emmetropic children using optical coherence tomography angiography (OCTA). Methods: This was a cross sectional comparative study of otherwise healthy children with different refractive errors. Patients were recruited from Cairo University Children’s Hospital. OCTA imaging was performed using the RTVue XR Avanti device with AngioVue software. Both the 3 × 3 and 6 × 6 mm macular scans were utilized. Automated measurements were obtained from the built-in machine software. Axial length (AL) measurements were done using Lenstar LS 900 optical biometer. Results: Ninety eyes from 51 healthy children were included. Among high myopes, there was significant thinning of the parafovea (p < 0.001). SCP-VD was also lower in high myopes in all areas except the fovea (all p < 0.001). The DCP-VD was significantly lower in high myopes in the parafovea and perifovea. High hyperopes had lower subfoveal CC-VD. Despite high myopes showing a significantly lower OCTA signal strength, linear regression analysis revealed that AL was an independent and significant predictor for the FAZ-area, as well as parafoveal and perifoveal SCP and DCP-VD. Conclusion: High myopia results in a reduction of VD in both the SCP and DCP, which can be non-invasively detected and monitored using OCTA. While lower VD may, in part, be attributed to lower OCTA image quality, our findings demonstrate that AL independently and significantly predicts macular vascular parameters on OCTA in children.
Statistics
Citations: 5
Authors: 5
Affiliations: 2
Identifiers
Research Areas
Health System And Policy
Maternal And Child Health
Study Design
Cross Sectional Study
Study Approach
Quantitative