An observational study in Proliferative Vitreoretinopathy, sponsored by University College, London. Enrolling by invitation at 1 site in United Kingdom. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2026-07-02.
Sponsored by University College, London · Observational
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:
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.
35 studies on the registry are indexed under Vitreoretinopathy, Proliferative; 9 are open to participants now.
Browse Vitreoretinopathy, Proliferative studies →University College, London is the lead sponsor of 632 studies on the registry; 145 are open to participants now.
Of its 6 completed or terminated interventional studies of FDA-regulated products, 2 (33%) have results posted.
Counted across the registry records on this site, refreshed daily.
MORPH-1 - PVR detachments Cohort-NHS - primary RRD without PVR requiring PPV with PVD.
Exclusion Criteria:
Rhegmatogenous retinal detachment without proliferative vitreoretinopathy at the time of their primary surgery
Rhegmatogenous retinal detachment with proliferative vitreoretinopathy at the time of their primary surgery or post-operatively with recurrent retinal detachment.
To study multimodal imaging biomarkers of PVR.
Use multimodal imaging namely widefield Optos, Widefield OCT, OCT macula, OCT disc, OCT EDI and OCTA to describe biomarkers of PVR.
Time frame: Preoperative biomarkers of PVR on cases with established PVR Post-operative biomarkers of PVR on cases that develop PVR in the first 3 months.
To develop deep learning AI models for PVR detection in retinal detachment.
Use widefield Optos imaging and OCT to: * Develop outputs for presence of PVR (binary), and * Develop output for prediction of PVR grade.
Time frame: Post-operative 3 months
Plan to share: No — Within participant's consent.
No publications or documents are linked to this record.
Eligibility is decided by the study team. Share this record with your doctor or contact the team directly.
No contact was published for this record. The registry link below has the sponsor’s details.
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Vitreoretinopathy, Proliferative→
University College, London