Study finds, Smartphone-Acquired Image Photogrammetry for De
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The aim of this study was to see whether smartphone imaging of the eye from two angles — anterior and temporal — could help detect a shallow anterior chamber (AC). The angle-closure depth (ACD) of an eye can be used as a surrogate marker to identify eyes at risk of angle-closure disease.

A prospective observational study was conducted in which each eye was photographed with a smartphone using the two perspectives, followed by quantitative measurement of ACD using optical biometry. The percentage of nasal iris illuminated was measured from the image acquired using the flashlight method (anterior perspective), whereas pupil position relative to the cornea was measured from the image acquired using the temporal perpendicular method (temporal perspective).

The receiver-operating characteristic curve and area under the curve (AUC) were studied for both perspectives independently for overall predictive accuracy in detection of shallow AC (ACD less than 2.7 mm, obtained by IOL Master).

Results:
--A total of 275 eyes were examined, of which 77 had an ACD less than 2.7 mm.

--The accuracy of detection of shallow AC was found to be 95.2% for both perspectives when used alone or in combination. AUC of the anterior perspective was 0.99.

--The AUC for the temporal perspective was 0.993.

Finally, smartphone-acquired image photogrammetry of an eye with anterior and temporal viewpoints, both separately and together, produced accuracy nearing 95% in detecting shallow AC (ACD less than 2.7 mm).

Source: https://www.dovepress.com/smartphone-acquired-image-photogrammetry-for-detection-of-shallow-ante-peer-reviewed-fulltext-article-OPTH
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