ArticleClinical ophthalmology (Auckland, N.Z.)2021
Smartphone-Acquired Image Photogrammetry for Detection of Shallow Anterior Chamber.
Article in Clinical ophthalmology (Auckland, N.Z.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed, 5 citations in OpenAlex.
- Comparison of a Smartphone-Based Method for Measuring Anterior Chamber Depth with Anterior Segment OCT and Smith's Technique.Journal of clinical medicine · 2026Article
- Immersive Neurosurgical Anatomy Using Photogrammetry: Technical Note and Scoping Review.Journal of neurological surgery. Part B, Skull base · 2026Article
- The Efficacy of the Temporal View in Detection of Shallow Anterior Chamber.Journal of current glaucoma practiceArticle
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThis study aimed to explore the role of smartphone imaging of the eye using two perspectives - anterior and temporal - in the detection of a shallow anterior chamber (AC). The AC depth (ACD) of an eye can be used as a surrogate marker for identification of eyes at risk of developing angle-closure disease.
methodsA prospective observational study was conducted at a university teaching hospital in South India. 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 <2.7 mm, obtained by IOL Master).
resultsA total of 275 eyes were examined, of which 77 (28%) had an ACD <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 (95% CI 0.982-0.997). The AUC for the temporal perspective was 0.993 (95% CI 0.988-0.999).
conclusionSmartphone-acquired image photogrammetry of an eye with anterior and temporal perspectives independently and in combination provided accuracy nearing 95% in the detection of shallow AC (ACD <2.7 mm). REGISTRATION: This trial was registered with the Clinical Trial Registry of India (CTRI/2018/09/015867, September 28, 2018).
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