Glaucoma is an irreversible eye disease and a leading cause of blindness worldwide. A major risk factor is increased intraocular pressure (IOP). When first-line treatments fail, glaucoma filtration surgery (GFS) is a commonly performed procedure to effectively control IOP, delay disease progression and prolong quality of life. However, this surgery tends to fail due to fibrosis at the surgical site, which in Singapore, exceeds 50% failure rate at 2 years. Currently, surgical outcome is monitored by clinical examination of the operated site and IOP measurements. However, this method of evaluation does not allow the clinician to identify early signs of fibrosis, delaying therapeutic treatment until fibrosis is clinically present. Established fibrosis is difficult to treat, especially in Asians who have a greater propensity to scar.
Early detection of post-operative fibrosis is therefore paramount for prompt and optimal management to increase surgical success. To address this, we aim to develop an objective and quantitative method for determining and predicting early surgical failure using revolutionary imaging technology.
A prototype non-invasive imaging tool will be produced and evaluated in a validated mouse model of GFS and an algorithm will be developed that enables accurate evaluation and grading of ocular fibrosis. This technology will first be developed for application in live animals which can be commercialized for research in the area of anti-fibrotic drug evaluation and the prototype will form the foundations for further development of the technology for clinical application.
Principal Investigator: Assoc. Professor Tina WONG
Institution: Singapore Eye Research Institute
NHIC Ref: NHIC-I2D-1503041