Novel optical coherence tomography imaging biomarkers for high myopia in children and adults to assess visual damage severity
Description: Objectives
To characterize the pathological choroidal and retinal structure and vasculatures children and their parents with high by optical coherence tomography technologies over 3 years. To correlate their associations with severities of visual damages. To establish biomarkers to assess and predict myopia progression based on these new data.
Hypothesis to be tested
The differences in choroidal and retinal vasculature changes from OCT-A images can reveal visual damages and predict high myopia progression. With increasing age, choroidal and retinal vasculatures may change.
Design and subjects
A 3-year prospective, observational and population-based study. High myopia patients and age-matched control subjects will be studied by choroidal and retinal vascular imaging.
Instruments
OCT-A with a swept-source OCT (Triton DRI-OCT, Topcon, Tokyo, Japan), wavelength 1050 nm and speed 100 000 A-scans per second.
Interventions
NA
Main outcome measures
OCT-A metrics including choroidal thickness (CT), choroidal vascular index (CVI), foveal avascular zone (FAZ) area, FAZ circularity, vessel density (VD), fractal dimension (FD) and vessel diameter index (VDI).
Data analysis
Generalized estimating equations (GEE) models to determine ocular and demographic factors associated with the choroidal and retinal OCT-A metrics, adjusting for inter-eye correlation.
Expected results
Biomarkers will be established to assess and predict severities of visual damages and clinical consequences in children and adults with high myopia based on new data in choroidal and retinal pathology and its associated OCT-A images. Our fine OCT imaging will also generate new information to reveal the mechanism of these pathological changes.
Funder: Health and Medical Research Fund
Amount: HKD 1,500,000
Funding type: grant
Funder scheme: HMRF - Advanced Medical Research
Start date: 2020-01-01
Investigator: Xiujuan ZHANG
Institution: Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong
Funded outputs count: 24
Funder award ID: 09202466
OpenAlex ID: G3524818779