Intelligent screening of narrow anterior chamber angle based on portable slit lamp.
cross_sectional · Level IV
Where this comes from
- Record sourced from PubMed, PMID 40676154.
- Also identified by DOI 10.1038/s41746-025-01853-2 and PMC identifier 12271354.
- Licence recorded as CC BY-NC-ND.
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Abstract
Primary angle closure glaucoma (PACG) is a major cause of irreversible blindness, characterized by shallow anterior chambers and narrow angles. In our study, we used anterior segment photographs from a modified mobile camera to develop algorithms for identifying narrow anterior chamber angles (NACA). We calculated eight biological parameters after preprocessing the images, segmenting the corneal and iris light bands, and modeling the central anterior chamber. In the training dataset, the accuracy of NACA identification using these parameters ranged from 0.68 to 0.85, with an AUC of 0.76 to 0.90. The internal test dataset's accuracy ranged from 0.65 to 0.85, with sensitivity between 0.40 and 0.95 and specificity between 0.61 and 1.00. An ensemble model achieved a sensitivity of 0.90 and a specificity of 0.85 on the internal test dataset, but its performance declined on external datasets. Despite generalization challenges, portable slit lamps equipped with advanced algorithms show promise for NACA screening.