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.
Adults ≥18 years
Uncomplicated primary rhegmatogenous retinal detachment
PVD present
No PVR-A/B/C
Patients <18 years
Patients lacking capacity
Previous vitrectomy
Previous cryopexy