Diagnostic accuracy of a modularized, virtual-reality-based automated pupillometer for detection of relative afferent pupillary defect in unilateral optic neuropathies

Autor: Rahul Negi, Manasa Kalivemula, Karan Bisht, Manjushree Bhate, Virender Sachdeva, Shrikant R. Bharadwaj
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Frontiers in Ophthalmology, Vol 4 (2024)
Druh dokumentu: article
ISSN: 2674-0826
DOI: 10.3389/fopht.2024.1396511
Popis: PurposeTo describe the construction and diagnostic accuracy of a modularized, virtual reality (VR)-based, pupillometer for detecting relative afferent pupillary defect (RAPD) in unilateral optic neuropathies, vis-à-vis, clinical grading by experienced neuro-ophthalmologists.MethodsProtocols for the swinging flashlight test and pupillary light response analysis used in a previous stand-alone pupillometer was integrated into the hardware of a Pico Neo 2 Eye® VR headset with built-in eye tracker. Each eye of 77 cases (mean ± 1SD age: 39.1 ± 14.9yrs) and 77 age-similar controls were stimulated independently thrice for 1sec at 125lux light intensity, followed by 3sec of darkness. RAPD was quantified as the ratio of the direct reflex of the stronger to the weaker eye. Device performance was evaluated using standard ROC analysis.ResultsThe median (25th – 75th quartiles) pupil constriction of the affected eye of cases was 38% (17 – 23%) smaller than their fellow eye (p
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