Supporting data for "Application of Retinal-nerve-fiber-layer Optical Texture Analysis (ROTA) in Glaucoma"

Glaucoma is the leading cause of irreversible blindness characterised by chronic degeneration of retinal ganglion cells (RGCs). However, the diagnosis and monitoring of glaucoma is sometimes challenging, especially in late stages of disease. Retinal-nerve-fiber-layer optical texture analysis (ROTA) is an algorithm that combines the thickness and reflectance measurements of RNFL obtained from OCT scans, uncovering the trajectory and optical texture of the axonal fiber bundles across the retina. Visualizing the axonal fiber bundles on the retina in a wide field, ROTA has been shown to have enhanced sensitivity and specificity in detecting RNFL defects in glaucoma patients.

This dataset is the data from two studies, including (1) the prevalence and risk factors of glaucoma diagnosed by ROTA in Hong Kong; (2) the patters of RNFL defect of advanced glaucoma using ROTA. Two studies both demonstrated the importance of ROTA in early diagnosis of glaucoma and disease progression assessment.