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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Characterise the cytokine milieu in an uncomplicated RRD eye.
Timeframe: 3 months