Imaging and Predictive Modelling of Proliferative Vitreoretinopathy.
This research focuses on a condition called Proliferative Vitreoretinopathy (PVR), which can happen after a detached retina and sometimes needs many operations to fix. We want to understand PVR better so we can give patients more effective treatments and improve their chances of a good outcome. We're doing this by carefully examining eye scan images to find specific signs of PVR. We're also working with artificial intelligence (AI) experts to develop computer programs that can learn to spot PVR early from these scans. This could help doctors to predict who is most at risk and to tailor treatments more precisely for individual patients. The goal is to reduce the need for multiple surgeries and improve recovery for people with detached retinas.
At a glance
What is this study about?
This research is looking into a complicated eye condition called Proliferative Vitreoretinopathy, often shortened to PVR. PVR can be a serious problem that sometimes occurs after someone has had a detached retina. A detached retina is when the light-sensitive layer at the back of your eye comes away from its normal position. While surgery can often fix this, some people may develop PVR, which can cause scar tissue to grow and pull on the retina again, leading to further problems and sometimes needing several surgeries to correct. We want to understand PVR better to stop it from happening or to treat it more effectively.
Our main goals in this study are to use advanced eye scanning techniques to find specific clues or 'biomarkers' that tell us more about PVR. Think of these biomarkers like fingerprints that can help us identify PVR. We are also working with expert computer scientists to develop smart computer programs, known as artificial intelligence (AI) models. These programs will learn to spot signs of PVR in eye scan images, potentially helping doctors detect it earlier and predict who might be at higher risk.
Why does this matter? By using these new methods, we hope to improve how doctors understand, detect, and treat PVR. Ultimately, we aim to help doctors make more personalised treatment decisions for patients with detached retinas, which could lead to better results, fewer repeat surgeries, and improved vision for many.
Key takeaways
- Aims to improve treatment for a serious eye condition called PVR.
- Uses advanced eye scans and artificial intelligence (AI).
- Focuses on understanding and detecting PVR earlier.
- May lead to more personalised and effective treatments.
- Your direct involvement is not required beyond previous consent.
Who may be eligible?
This study is looking for adults aged 18 and over, of any gender. We are including people who have already joined one of two specific studies. These are the MORPH-1 study, which is for patients with a more complex type of detached retina and PVR, and certain PhD studies, which involve patients with a simpler type of detached retina without PVR.
For you to be part of this particular research, you must have been part of one of these studies and have given your clear permission (consent) for your eye scans and other related information to be used for research, including analysis by artificial intelligence. If you were in one of these studies but did not give consent for your images and data to be used in this way, then unfortunately, you would not be able to be included.
Could this study suit you?
Answer these quick questions to see if you may be eligible. This is a guide only — the research team makes the final call.
- Are you 18 years old or older?
- Have you previously participated in the MORPH-1 study or a specific PhD study related to retinal detachment?
- When you joined that study, did you give consent for your eye images and information to be used for future analysis, including by AI?
- Are you comfortable with your anonymised data being used for research?
What does participation involve?
This study primarily uses information and scans that have already been collected as part of two previous studies (MORPH-1 and a PhD study). This means that if you are eligible, you would generally not need to attend any extra hospital visits or have additional tests. We would be analysing existing anonymous eye scans and collected information. The total duration of your 'participation' in this specific research would be the time it takes for us to analyse your previously collected data, which you wouldn't directly be involved in. You would not receive any new medication as part of this study.
Potential risks and benefits
Locations (1)
- University College LondonVerified postcodeLondon, United Kingdom
Common questions
What is Proliferative Vitreoretinopathy (PVR)?
PVR is a condition where scar tissue forms inside the eye, sometimes after a detached retina, which can pull on the retina and lead to further vision problems.
What is a 'detached retina'?
A detached retina happens when the light-sensitive layer at the back of your eye lifts away from its normal position, which needs urgent treatment.
What is Artificial Intelligence (AI) and how is it used here?
AI refers to computer programs that can learn from data. Here, AI will learn to spot signs of PVR in eye scans to help doctors diagnose and predict the condition.
Do I need to come in for extra appointments?
No, this study uses information from previous appointments you've already had. You won't need any new hospital visits or tests for this research.
Will my personal details be safe?
Yes, all your information and eye scans will be properly anonymised, meaning your name and other identifying details will be removed before analysis to protect your privacy.
How to find out more
Always speak to your GP or specialist before deciding to take part in a study.
Interested in taking part?
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