About this trial
The complex and variable course of age-related diseases makes it all the more necessary to carry out personalised, reasoning-based examinations to improve the personalised assessment and management of AMD. However, functional assessment of AMD is most often based solely on visual acuity, and classifications of AMD are based solely on structural markers. There is therefore a need to improve the detection and functional assessment of this vision-threatening eye disease, by complementing and extending the standard assessments of clinical outcomes (COA)
Eligibility criteria
This trial accepts healthy volunteersQualifiers
Male / Female participant,
Age ≥ 50 at inclusion,
Able and willing to provide written informed consent and comply with the study protocol, visits and assessments,
Quality of AO imaging as assessed by rtx1 camera, ● deemed adequate according to the study physician,
Disqualifiers
Pregnant, parturient or breast-feeding women,
Subjects taking medication likely to cause motor, visual, vestibular or cognitive disorders (PSA, neuroleptics, etc.) or who could interfere with the study examinations cannot be included in this study,
Environmental opacity or eye movement disorders (nystagmus) which, in the opinion of the investigator, interfere with the quality of retinal imaging data.
Any concomitant intraocular condition in the study eye (e.g. glaucoma or cataract) that, in the opinion of the investigator, would require surgical intervention during the study to prevent or treat vision loss that may result from this condition or affect the interpretation of study results,
Trial design
Single group
Treatments tested in this trial
patient-reported outcome
Other interventionPerformance of real-life tests and tasks
Treatment groups
Trial outcomes
Primary outcomes
Validity of criteria
Number of patients with capacity of discrimintaion compared to healthy volunteers. ROC (receiver operating characteristic curve), which illustrates the diagnostic capacity of a binary classification system as a function of the variation in its discrimination threshold. The ROC curve is created by plotting the rate of true positives versus the false-positive rate for different thresholds. The index used to characterize a test's of a test is the air under the curve
Validity of content
number of paticipants with capacity to execute questionnaires and daily real-life task
Reproducibility of results
Number of patients able to reproduce the same performance tests
Locations
Sponsors and contacts
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This trial is not recruiting at the moment. You can still explore other options: