Purpose: To determine the test-retest reliability and diagnostic accuracy of a binocular optical coherence tomography (OCT) prototype (Envision Diagnostics, USA) for pupillometry. Design: Assessment of diagnostic reliability and accuracy. Methods: Fifty participants with RAPD confirmed using the swinging flashlight method (mean age 49.6 years) and 50 healthy controls (mean age 31.3 years) were examined. Participants twice underwent an automated pupillometry exam using a binocular OCT system that presents a stimulus and simultaneously captures OCT images of the iris- pupil plane of both eyes. Participants underwent a single exam on the RAPDx (Konan Inc, USA), an automated infrared pupillometer. Pupil parameters including maximum and minimum diameter, and anisocoria were measured. The magnitude of RAPD was calculated using the log of the ratio of the constriction amplitude between the eyes. A pathological RAPD was considered to be above ±0.5 log units on both devices. Results: Intraclass correlation coefficient was >0.90 for OCT-derived maximum pupil diameter, minimum pupil diameter, anisocoria. The RAPDx had a sensitivity of 82% and a specificity of 94% for detection of RAPD whereas the binocular OCT had a sensitivity of 74% and specificity of 86%. The diagnostic accuracy of the RAPDx and binocular OCT was 88% (CI: 80-94%) and 80% (CI: 71-87%) respectively. Conclusions: Binocular OCT-derived pupil parameters had excellent test-retest reliability. Diagnostic accuracy of RAPD was inferior to the RAPDx and is likely related to factors such as eye movement during OCT capture. As OCT becomes ubiquitous, OCT- derived measurements may provide an efficient method of objectively quantifying the pupil responses.
|Journal||American Journal of Ophthalmology|
|Publication status||Published - 1 Jun 2020|
- optical coherence tomography
Chopra, R., Mulholland, P., Petzold, A., Ogunbowale, L., Gazzard, G., Bremner, F., ... Keane, P. A. (2020). Automated Pupillometry using a Prototype Binocular Optical Coherence Tomography System: Automated, quantitative, pupillometry using Binocular OCT. American Journal of Ophthalmology, 214, 21-31.