Personalised Monitoring of Early and Intermediate Age-related Macular Degeneration With Artificial Intelligence and Identification of Disease Progression
Condition(s) studied
Study summary
The goal of this prospective, multinational, multicenter observational study is to to predict conversion of early and intermediate AMD with functional vision to advanced AMD with irreversible loss of vision on an individual-based level over 2 years. The main objectives of this study are:
* Identify and quantify focal and global alterations in the retina in regard to disease progression.
* Assess the individual risk of disease progression in intermediate AMD patients converting to advanced AMD based on imaging.
* Specify the course of disease in regard to the sequence of events that lead to the conversion to advanced AMD
* Enhance the ability to classify AMD using artificial intelligence in addition to traditional models.
All patients will be followed for 24 months with 6 month intervals to assess clinical changes. Monitoring of disease progression will be performed using the following routine in-vivo imaging procedures:
* Scanning Laser Fundus Photography
* Color Fundus Photography (CFP)
* Optical Coherence Tomography (OCT)
* Optical Coherence Tomography Angiography (OCTA) Patients will be asked for their medical history. Standard ophthalmic examination, as well as a questionnaire on visual function will be carried out.
No intervention will be performed during the study since no treatment is yet available within Europe. As soon as treatment is approved in the EU, patients in this cohort might receive treatment according to availability in their respective country and standard of care. If treatment will be performed, it will be as standard of care outside the study according to each country's standard of care and by EMA label.
Eligibility
Primary outcome measure(s)
- To characterise and quantify focal and global changes of the retina by retinal imaging to identify patients at risk for conversion to advanced AMD. — 2 years
The correlation between biomarkers (independent variables) and progression will be assessed by linear mixed models or prospectively by Cox-regression models. Artificial intelligence models will be applied to assess progression speed and predict local and global progression. Mixed Effects models will be calculated to estimate the association between independent variables, including the timepoint as an independent variable, on individual markers of progression (PR thinning and PR loss expansion).
Trial sites (7)
| Facility | City | Region | Status |
|---|---|---|---|
| Medical University of Vienna | Vienna | Austria | Not Yet Recruiting |
| CHU Dijon | Dijon | France | Recruiting |
| University Medical Center Ljubljana | Ljubljana | Slovenia | Recruiting |
| Fundacio de Recerca Clinic Barcelona-Institut D Investigacions Biomed | Barcelona | Spain | Recruiting |
| Vista Klinik Binningen | Binningen | Switzerland | Recruiting |
| University of Zürich | Zurich | Switzerland | Recruiting |
| Queen's Unviversity Belfast | Belfast | United Kingdom | Recruiting |
More Medical University of Vienna trials in Spain
Other trials for the same condition
This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
View NCT06351670 on ClinicalTrials.gov ↗ ← All trials in Spain