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NCT Number: NCT07386678

Study of Imaging and Molecular Biomarkers in Uncomplicated Rhegmatogenous Retinal Detachment

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.

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Key information

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

About this study

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:

  • Characterise the cytokine profile of vitreous fluid in uncomplicated RRD.
  • Develop a risk model to predict development of PVR after retinal detachment surgery using imaging and molecular biomarkers.
  • 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.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

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.

Treatment and study plan

Primary outcomes

  1. Characterise the cytokine milieu in an uncomplicated RRD eye.

    Time frame: 3 months

    Study cytokine profile using a multiplex assay that includes all relevant cytokines.

Secondary outcomes

  1. Develop a risk model for development of PVR after retinal detachment surgery using imaging and molecular biomarkers.

    Time frame: 3 months

    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.

  2. To develop deep learning AI models for PVR detection in retinal detachment.

    Time frame: 3 months

    Using ultra-widefield retinal imaging and optical coherence tomography in human retinal detachment models.

Sponsors and collaborators

Lead sponsor

University College, London

Other

Registry information

Acronym: Cohort-NHS

Important dates

Study start
2026
Primary completion
2027
Study completion
2027
First posted
Feb 4, 2026
Registry last updated
May 6, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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