Clinical Ophthalmology (Feb 2022)
Pilot Study of Smartphone Infrared Pupillography and Pupillometry
Abstract
Omar Solyman,1– 3 Mokhtar Mohamed Ibrahim Abushanab,1 Andrew R Carey,2 Amanda D Henderson2 1Research Institute of Ophthalmology, Giza, Egypt; 2Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA; 3Department of Ophthalmology, Qassim University Medical City, Al-Qassim, Saudi ArabiaCorrespondence: Omar Solyman, Tel +20 1009350101, Email [email protected]: To describe and validate a novel portable smartphone-based infrared pupillographer.Materials and Methods: A prototype infrared smartphone pupillographer device was custom designed for this project. Infrared video and photo pupillography were attempted on 12 patients with different clinical pupillary examination findings. Captured pupillography media files were assessed by three masked investigators, and the agreement between their qualitative clinical evaluation was tested against the evaluation of the neuro-ophthalmologist who performed the real-time examination and pupillography. Quantitative measurements of the pupillary diameter were performed by three investigators using a custom designed smartphone application on three different smartphones and on a personal computer. Measurements obtained by the three investigators using the smartphone and the desktop computer were compared.Results: Infrared video pupillography of high quality was successfully captured for light and near pupillary reflexes, and infrared still photographs were obtained in light and dark conditions in 23 eyes of the 12 patients. Examination findings included relative afferent pupillary defect (n = 5), normal pupillary examination (n = 4), anisocoria (n = 2), and relative afferent pupillary reflex by reverse (n = 1). There was 100% agreement in the qualitative pupillary evaluation of the masked investigators compared with real time clinical examination. Quantitative measurements of pupillary size obtained on the smartphone and desktop computer showed excellent agreement among the three investigators with intraclass correlation (ICC) coefficient ranging from 0.982– 0.986 (P< 0.001) and 0.995 (P< 0.001) for the smartphone and the desktop computer groups, respectively. Level of agreement ranged between − 0.27 and 0.32. Mean pupil diameter errors were 0.03 ± 0.15 mm between groups (P = 0.248).Conclusion: This pilot study demonstrates the feasibility of smartphone-based infrared pupillography for high quality photo and video documentation of pupillary examination at the bedside and in the clinic with accurate and reproducible measurements of the pupillary size in light and dark conditions.Keywords: smartphone pupillography, infrared pupillometry, smartphone pupillometry, anisocoria, afferent pupillary defect
