Study: Age-Related Macular Degeneration Benchmark Imaging Dataset – University of Wisconsin-Madison (ABID – UW)
Principal Investigator: Amitha Domalpally, MD, PhD
Clinical Collaborator: Barbara Blodi, MD
This is a prospective, cross-sectional, multi-center, observational study to collect and develop a meticulously curated and diverse AMD benchmark dataset, featuring reference standard level 1 classification and comprehensive annotation of images.
Study procedures include: collecting demographics (age, sex, ethnicity, race), smoking history, family history of AMD, and height/weight; collecting or measuring visual acuity (BCVA); assessing AMD classification (Beckman scale); and undergoing one retinal imaging session (color fundus photography (pre and post dilation) and spectral domain-optical coherence tomography) of both eyes
Inclusion Criteria:
- Participants greater than or equal to 50 years of age at time of signing Informed Consent Form
- Willing to comply with all study procedures and sign the Informed Consent Form (ICF)
- Individuals with normal healthy eyes or diagnosed with any stage of Age-Related Macular Degeneration (treatment naïve patients with early, intermediate, or late AMD). The diagnosis and eligibility review will be confirmed by Central Reading Center.
Exclusion Criteria:
- Therapeutic treatment for any type of AMD, in either eye. Supplements, such as AREDS2 formula, are allowed.
- Unable to acquire adequate quality images, as evaluated by the Central Reading Center
- Severe vision loss requiring urgent surgery
- Contraindicated for acquiring retinal images due to narrow anterior chamber angles or hypersensitivity to light
- A systemic or ocular condition that in the opinion of the Investigator would preclude participation in the study
- Unwilling to sign informed consent form
- Currently or previously enrolled in an interventional AMD clinical trial
Contact Bonnie Verges (608-265-5292) or Denise Krolnik (608-265-2574) with questions.
For more information about this study, visit clinicaltrials.gov