Retinitis Pigmentosa: Advanced imaging biomarkers
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A major issue for validating novel treatments for RP is the lack of biomarkers that are sensitive to the slowly progressing disease. How can we assess RP progression over shorter timeframes, in order to better select patients and to shorten clinical trials duration ? How to identify early stage patients to optimize selection for trials as well as future therapeutic strategies ?
In this webinar, Dr. Akiko Maeda, Dr. Kiyoko Gocho, and Dr. Danilo Andrade de Jesus discussed how they address these needs using adaptive optics imaging (AO) and AI.
We are grateful to our esteemed panelists for sharing their insights and vision based on their work with the rtx1 AO retinal camera.
About the panelists:
Dr. Akiko Maeda, MD, PhD, is an ophthalmologist, IRD specialist, and the deputy director of the Research Center at Kobe City Eye Hospital. She led the KEYS study, a natural history study on EYS-RP.
Dr. Kiyoko Gocho, MD, PhD, is an ophthalmologist and researcher at Paris Quinze-Vingts National Eye Hospital in France and at Kobe Eye Center in Japan. She implemented AO assessments in the KEYS study.
Dr. Danilo Andrade de Jesus, PhD, is an AI and retinal image analysis expert, assistant professor and PI at the Eye Image Analysis Group (EyeR), Erasmus MC & Rotterdam Eye Hospital in the Netherlands. He is currently leading the AO-VISION project.
Related litterature:
Masakazu, H., et al. Scientific Reports, 2026. Two-year prospective natural history study of EYS-associated retinitis pigmentosa using adaptive opt…
Taniguchi, M. et al. Scientific reports, 2026. Prospective natural history and clinical biomarkers of EYS-associated retinopathy in the KEYS study
Andrade de Jesus, D. et al. ARVO annual meeting 2026. Abstract #2522: Multi-scale phenotyping of retinitis pigmentosa using adaptive optics imaging.
Wooning, S., et al. Ophthalmology Science, 2024. Automated Cone Photoreceptors Detection in Adaptive Optics Flood-Illumination Ophthalmoscopy.