Comparison of angle-closure detection between automated gonioscopy and anterior-segment optical coherence tomography.

ABSTRACT:

Purpose

To investigate the concordance between angle-closure assessments based on GS-1 gonioscope images and those obtained with anterior-segment optical coherence tomography.

Study design

Retrospective clinical study.

Methods

We included 33 patients (53 eyes) who visited Chukyo Eye Clinic during 2020-2024, were suspected of having angle closure, and underwent anterior-segment optical coherence tomography (CASIA2 Advance STAR Analyzer) and GS-1 examinations. The 16-directional images captured with the GS-1 were divided into two halves, creating 32 directions, which were rearranged to correspond with those obtained via anterior-segment optical coherence tomography. Agreement between evaluations was analyzed using Cohen's κ, and the area under the receiver operating characteristic curve was evaluated. Anterior-segment optical coherence tomography images were manually corrected, and eyes with areas classified as "narrow" or "closed" were categorized as angle closure. With the GS-1, two glaucoma specialists independently reviewed the images. Areas in which the posterior trabecular meshwork was obscured in more than half of the image (Scheie classification grades III-IV) were judged indicative of angle closure.

Results

We included 1,660 directions from 53 eyes in the agreement analysis. The proportion of directions judged as angle closure was 57.0% with anterior-segment optical coherence tomography and 46.1% with the GS-1. Cohen's κ for inter-test agreement was 0.173 (95% confidence interval: 0.128-0.218), and the area under the receiver operating characteristic curve was 0.588 (95% confidence interval: 0.561-0.615).

Conclusion

Analyses using anterior-segment optical coherence tomography yielded more frequent classifications of angle closure than evaluations based on GS-1 gonioscopic images.

SUBMITTER: Takagi Y 

PROVIDER: S-EPMC12435641 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature