Smartphone-aided Quantification of Iridocorneal Angle.
Summary
001). Therefore, smartphone image-aided angle estimation may be a simple, effective, and economical method for quantification of ICAs, paving a more evident way for identification of angle-closure disease.
Abstract
As the upgrading of smartphone technology revolutionizes the field of ophthalmic imaging, we put forward one more of its novel applications. This article presents the possibility of iridocorneal angle (ICA) estimation through smartphone-captured images. Such measured inferior ICA (at 6'o clock position) was comparable to the anterior segment optical coherence tomography measured trabecular iris angle at 500 μ at 270 degrees (P=0.06). They both had an excellent positive correlation (ρ=0.81, P<0.001). Therefore, smartphone image-aided angle estimation may be a simple, effective, and economical method for quantification of ICAs, paving a more evident way for identification of angle-closure disease.
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