Imaging and Predictive Modelling of Proliferative Vitreoretinopathy.

Enrolling by invitation

Conditions studied: Proliferative Vitreoretinopathy

In brief

Patients with retinal detachment are at risk of recurrence and failure of surgery requiring multiple surgeries due to a condition called proliferative vitreoretinopathy (PVR). Study aims to help tailor patients' treatments and improve outcomes by: \[i\] studying imaging biomarkers of PVR, and \[ii\] develop AI models for PVR detection. Inclusion: * Patients with 'complicated' retinal detachment with PVR recruited to a phase 1 dose-finding trial called MORPH-1. * Patients with 'simple' retinal detachment without PVR recruited to a PhD study. Non -invasive multimodal imaging and anonymized imaging will be used to study imaging biomarkers of PVR and develop deep learning models to predict PVR in collaboration with an artificial intelligence (AI) expert team at UCL Institute of Ophthalmology.

Key facts

Study ID

NCT07682025

Run by

University College, London

People needed

100

Starts

2026-10-12

Expected to finish

2027-10-15

Last updated by the study team

2026-07-02

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• MORPH-1 and Cohort-NHS study imaging

You may not qualify if…

• Participants from above studies who have not consented for image analysis and AI related analysis.

Where it is running

• University College London — London, United Kingdom

Full record on ClinicalTrials.gov

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