Assessment of EyeArt as an Automated Diabetic Retinopathy Screening Tool
Assessment of EyeArt as an Automated Diabetic Retinopathy Screening Tool
More than 29 million people in the US are living with diabetes, many of whom will develop diabetic retinopathy (DR) or diabetic macular edema (DME) collectively known as diabetic eye disease (DED), the leading cause of vision loss and blindness in working-age adults. Annual eye screening is recommended for all diabetic patients since vision loss can be prevented with laser photocoagulation and anti-VEGF treatment if DR is diagnosed in its early stages. Currently, the number of clinical personnel trained for DR screening is orders of magnitude smaller than that needed to screen the large, growing diabetic population. Therefore, to meet this large unmet need for DR screening, a fully-automated computerized DR screening system is necessary.
EyeArt is an automated screening device designed automatically analyze color fundus photographs of diabetic patients to identify patients with referable or vision threatening DED. This study is designed to assess the safety and efficacy of EyeArt.
This is a prospective, multi-center, observational study to assess the safety and efficacy of EyeArt in screening for DR.
This study will enroll up to 940 subjects who meet the eligibility criteria at eye care practices and primary/diabetes care practices. Subjects will undergo fundus photography per the EyeArt photography manual using commercially available, Food and Drug Administration (FDA) cleared, non-mydriatic fundus cameras.
Additionally, after dilation, the subject will undergo clinical reference standard photography by photographers certified to obtain photographs for clinical reference standard grading.
The EyeArt screening results on photographs obtained per the EyeArt photography manual will be compared with the clinical reference standard grading to evaluate the sensitivity and specificity of the EyeArt device.
The study will be conducted in accordance with applicable regulatory requirements and established rules for Good Clinical Practice (GCP). Study sites will be chosen to meet the study requirements.
Each study site will be visited periodically by the Study Monitor who will ascertain that all aspects of the Study Protocol are complied with and that the conduct of the study conforms to applicable regulatory requirements and established GCP rules.
At the time of each monitoring visit, the Study Monitor will review the completed case report forms (CRFs) to ascertain that all items have been completed and that the data provided are accurate and obtained in the manner specified in the protocol.
The Study Monitor will also check that the data in the CRF are consistent with the clinical records (Source Data Verification) and that study results are recorded completely and correctly. The Study Monitor will check on the reporting of adverse events (AEs).
All subject data will be captured utilizing a 21 CFR Part 11 compliant database. Electronic case report forms (eCRFs) will be source document verified by designated study monitors. Data entry of subject data will be performed by approved trained Site Personnel. Approved Site Personnel will have a user specific log-in name and password to access the electronic data capture (EDC) system in order to enter study data.
The EyeArt device will be finalized and frozen before the first subject is enrolled and a copy will be placed in a version-controlled system. Evidence that Eyenuk does not have direct access to the study data before data lock will include documentation, logs, and audit reports.
Inclusion Criteria:
Exclusion Criteria: