Related Experiment Video
Updated: May 17, 2025
Author Spotlight: Unraveling the Pathogenesis of Age-Related Macular Degeneration and Discovering Potential Therapies
Published on: July 28, 2023
SCONe: a community-acquired retinal image repository enabling ocular, cardiovascular and neurodegenerative disease
Claire Tochel1, Miguel O Bernabeu2, Alice McTrusty3
1Centre for Medical Informatics, The University of Edinburgh Usher Institute, Edinburgh, UK ctochel@ed.ac.uk.
Objectives:
To safeguard Scotland's community-acquired retinal images (colour fundus photographs) in a secure, centrally held repository and support a variety of research including ocular, neurodegenerative and systemic disease prediction.
Design:
Retinal images captured in optometry practices linked to national, routinely collected, longitudinal healthcare data.
Setting:
Community optometry and the Public Health Scotland National Safe Haven.
Participants:
Adults (mostly aged 60+) who have attended their optometrist since 2006 for an eye examination during which a retinal image was captured.
Main Outcome Measures:
Successful retrieval of linkable colour fundus photographs from systems in use in practice and delivery to the Safe Haven for linkage and secure storage.
Results:
Scottish Collaborative Optometry-Ophthalmology Network e-research (SCONe) currently contains over 367 000 retinal images matched to over 36 000 patients. Healthcare data (hospital inpatient and outpatient, general ophthalmic, death and prescribing) records were retrieved for patients with one or more images, providing demographic and healthcare information for 95% of the cohort. The linked data allow the application of condition labels or phenotypes at specific points in time, facilitating research into retinal manifestations of vascular and neural diseases. The cohort is representative of the Scottish 60+ population in terms of sex (54% female), and there is a slight over-representation of people of black, Asian and minority ethnic groups (2% vs 1%) and those living in areas of lower deprivation (30% vs 16% in lowest two categories). Early research work has begun and is focusing on ocular and neurodegenerative disease prediction.
Conclusions:
The SCONe retinal image repository has been successfully established. We believe it offers enormous potential to support research into earlier detection of disease.
