Study of Imaging and Molecular Biomarkers in Uncomplicated Rhegmatogenous Retinal Detachment

Trial statusNot yet recruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18+
SponsorUniversity College, London

About this trial

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.

Eligibility criteria

This trial does not accept healthy volunteers

Qualifiers

Adults ≥18 years

Uncomplicated primary rhegmatogenous retinal detachment

PVD present

No PVR-A/B/C

Disqualifiers

Patients <18 years

Patients lacking capacity

Previous vitrectomy

Previous cryopexy

Trial population

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

Trial design

Design model

Cohort

Time perspective

Prospective

Treatments tested in this trial

Not listed

Trial groups

No trial groups listed

Trial outcomes

Primary outcomes

1

Characterise the cytokine milieu in an uncomplicated RRD eye.

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

Time frame
3 months

Secondary outcomes

1

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.

Time frame
3 months
2

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.

Time frame
3 months

Other outcomes

Sponsors and contacts

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This trial is not recruiting at the moment. You can still explore other options: