Abstract: The subject invention pertains to a novel angle-closure detection method for risk assessment of primary angle closure (PAC) or primary angle closure glaucoma (PACG) to inform treatment decisions. According to certain embodiments, a plurality of cross-sectional images of the anterior segment of an eye centered at the pupil with preferably even radial separations are obtained from optical coherence tomography imaging. After identifying the position of scleral spur from the cross-sectional image captured at each angle-location, the anterior chamber angles are analyzed. Each angle-location of the eye is classified as (i) closed angle, (ii) narrow angle, or (iii) open angle. The extents of narrow angles and closed angles among all angle-locations across the 360° radial space are computed. Based on the extents of narrow angles and closed angles, a regression model is applied to compute the risk of PAC/PACG development.