Recent advances in anterior chamber angle imaging.

Area of Science:

• Ophthalmology
• Medical Imaging
• Glaucoma Research

Background:

• Accurate assessment of the anterior chamber angle (ACA) is essential for differentiating primary open-angle and closed-angle glaucoma.
• ACA evaluation guides disease management and prognosis.
• Traditional slit-lamp gonioscopy, while useful, suffers from low reproducibility, limiting its utility in patient follow-up and research.

Purpose of the Study:

• To review recent advancements in imaging technologies for evaluating the ACA.
• To compare the diagnostic performance and clinical utility of new technologies against standard gonioscopy.

Main Methods:

• Review of recent imaging technologies for ACA assessment, including Swept-Source Optical Coherence Tomography (SS-OCT) and goniophotographic systems.
• Discussion of the integration of deep learning algorithms for automated image analysis.
• Comparison of diagnostic performance of SS-OCT with gonioscopy for assessing angle closure.

Main Results:

• Swept-Source OCT (SS-OCT) enables 3D and 360° ACA analysis, providing moderate to good diagnostic performance for circumferential angle closure assessment.
• Deep learning algorithms show promise for automating image analysis, potentially reducing physician interpretation time.
• Goniophotographic systems offer recordability of findings, closely mirroring slit-lamp gonioscopy results.

Conclusions:

• New imaging technologies like SS-OCT and deep learning offer improved accuracy and reproducibility for ACA assessment in glaucoma.
• These advancements have the potential to enhance clinical decision-making, patient follow-up, and clinical research in glaucoma.
• Goniophotography provides a recordable alternative that aligns with traditional gonioscopic findings.