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Office-based optometrist centres equipped with low-cost OCT devices can be used for screening of age-related macular degeneration. Matching next-door optometrist centres with clinical sites introduces a shared care service in an unprecedented and broad manner and offers timely and inclusive access to eye care for all citizens affected by the most frequent blinding disease in western countries.
The aim of the study is to detect AMD in a next-door office-based setting on an individual level using low-cost OCT, through a telemedicine feedback loop.
The specific aims of this study are:
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| TopCon Maestro 2 OCT | Device | Ophthalmic Coherence Tomography |
| Measure | Description | Time Frame |
|---|---|---|
| Identification of different AMD stages on OCT images from a community-based setting to calculate the real-world prevalence of AMD | AMD staging will be carried out by a certified ophthalmologist at the Medical University of Vienna according to the following parameters:
| 2 years |
| Measure | Description | Time Frame |
|---|---|---|
| Further biomarkers of AMD that are expected to be present in the cohort will be analyzed in order to assess whether they can be identified and quantified in this real-world cohort. | Biomarkers include:
|
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Inclusion Criteria:
Exclusion Criteria:
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Allcomers at the optometrist office that meet the inclusion criteria. In general, there is no specific targeting in recruitment. This collection of data does not represent a traditional clinical study that is recruiting patients, but is exclusively collecting images from asymptomatic individuals.
Individuals are imaged within the practice routine of optometrists/opticians. If, in this consecutive series, an individual meets the inclusion criteria for the study, the image is uploaded to the platform. A board-certified ophthalmologist at the Medical University of Vienna then systematically checks all images individually and informs the optometrist about the need for local ophthalmologist referral.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Ursula Schmidt-Erfurth, MD | Contact | 014040079310 | ursula.schmidt-erfurth@meduniwien.ac.at |
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| 2 years |
| As a post-hoc analysis, the diagnostic accuracy of AI algorithms to recognize changes associated with age-related macular degeneration in OCT volumes, will be evaluated in this real-world cohort. | 2 years |
| ID | Term |
|---|---|
| D008268 | Macular Degeneration |
| ID | Term |
|---|---|
| D012162 | Retinal Degeneration |
| D012164 | Retinal Diseases |
| D005128 | Eye Diseases |
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