Study of Imaging and Molecular Biomarkers in Uncomplicated Rhegmatogenous Retinal Detachment (Cohort-NHS)

Disease or general study area: Uncomplicated rhegmatogenous retinal detachment (RRD) and risk of proliferative vittroretinopathy (PVR)

Purpose and nature of the study:

1. Characterise the cytokine profile of vitreous fluid in uncomplicated RRD.
2. Develop a risk model to predict development of PVR after retinal detachment surgery using imaging and molecular biomarkers.
3. To develop deep learning/artificial intelligence (AI) models for PVR detection in retinal detachment.

Inclusion criteria:

50 adult ( ≥18 years) patients with uncomplicated rhegmatogenous retinal detachments without PVR.

What participating will involve:

Pre- and post-operative assessments and intervention will follow standard of care for patients with rhegmatogenous retinal detachments.

Additional intervention will include non-invasive imaging of anterior chamber flare, vitreous, wide-field retina, macula optical coherence tomography (OCT) and macula OCT-angiography (OCT-A) as well as, seeking participant's consent on collecting their vitreous fluid at time of their surgery for cytokine analysis.

Study Overview

• Status: Not yet recruiting
• Conditions: Proliferative Vitreoretinopathy; Retinal Detachment Rhegmatogenous; Proliferative Vitreoretinopathy in Rhegmatogenous Retinal Detachment

Detailed Description

This is an observational cohort study of 50 participants with uncomplicated rhegmatogenous retinal detachment. Participants will have their vitreous fluid collected at the time of surgery for cross-sectional analysis of cytokine milieu and a series of pre-operative and post-operative non-invasive imaging over 3 months. Unfortunately, 15-20% of the patients with primary retinal detachment will have recurrent retinal detachments following surgery secondary to an anomalous scarring process called proliferative vitreoretinopathy (PVR).

Therefore, aims of this study are to:

1. Characterise the cytokine profile of vitreous fluid in uncomplicated RRD.
2. Develop a risk model to predict development of PVR after retinal detachment surgery using imaging and molecular biomarkers.
3. To develop deep learning/artificial intelligence (AI) models for PVR detection in retinal detachment.

Above will guide future treatments for PVR and further identify high risk populations not just from a clinical perspective but with the utilisation of their imaging and molecular biomarkers.

• Study Type: Observational
• Enrollment (Estimated): 50

Contacts and Locations

Study Locations

• United Kingdom
  • London, United Kingdom, N17 9GZ
    • Moorfields Eye Hospital
    • Contact: Achini K; Phone Number: 07951650070; Email: a.makuloluwa@nhs.net
    • Contact: James Bainbridge; Email: j.bainbridge@ucl.ac.uk

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: Adult; Older Adult
• Accepts Healthy Volunteers: No

• Sampling Method: Non-Probability Sample

Study Population

• Adults ≥18 years
• Uncomplicated primary rhegmatogenous retinal detachment
• Moorfields Eye Hospital

Description

Inclusion Criteria:

• Adults ≥18 years
• Uncomplicated primary rhegmatogenous retinal detachment
• PVD present
• No PVR-A/B/C
• Phakic or pseudophakic.

Exclusion Criteria:

• Patients <18 years
• Patients lacking capacity
• Previous vitrectomy
• Previous cryopexy
• Aphakia
• No fundal view
• Diabetic retinopathy of any severity
• Retinal detachment secondary to infective causes e.g. acute retinal necrosis, toxoplasmosis scars
• Retinal detachment secondary to congenital defects e.g. optic disc pit/coloboma
• Exudative retinal detachment
• Tractional retinal detachment
• Ongoing involvement in another ocular trial.

Study Plan

How is the study designed?

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Characterise the cytokine milieu in an uncomplicated RRD eye.	Study cytokine profile using a multiplex assay that includes all relevant cytokines.	3 months

Secondary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Develop a risk model for development of PVR after retinal detachment surgery using imaging and molecular biomarkers.	Study demographics, existing and novel risk factors from imaging aqueous, vitreous, retinal vasculature and retinal structure, and cytokine molecular biology. Use a risk model for risk-stratification of patients who develop PVR re detachment.	3 months
To develop deep learning AI models for PVR detection in retinal detachment.	Using ultra-widefield retinal imaging and optical coherence tomography in human retinal detachment models.	3 months

Collaborators and Investigators

• Sponsor: University College, London

Study record dates

Study Major Dates

• Study Start (Estimated): April 27, 2026
• Primary Completion (Estimated): January 27, 2027
• Study Completion (Estimated): January 27, 2027

Study Registration Dates

• First Submitted: January 27, 2026
• First Submitted That Met QC Criteria: January 27, 2026
• First Posted (Actual): February 4, 2026

Study Record Updates

• Last Update Posted (Actual): May 6, 2026
• Last Update Submitted That Met QC Criteria: May 5, 2026
• Last Verified: January 1, 2026

More Information

Terms related to this study

• Keywords: Imaging; Cytokines
• Additional Relevant MeSH Terms: Eye Diseases; Retinal Diseases; Vitreoretinopathy, Proliferative
• Other Study ID Numbers: EDGE 179423

Plan for Individual participant data (IPD)

• Plan to Share Individual Participant Data (IPD)?: YES
• IPD Plan Description: Cytokine profile
• IPD Sharing Supporting Information Type: STUDY_PROTOCOL; ICF

Drug and device information, study documents

• Studies a U.S. FDA-regulated drug product: No
• Studies a U.S. FDA-regulated device product: No