June 2022
Volume 63, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2022
Use of Resident Tele-Ophthalmic Diagnosis to Aid in Management of Vision-Compromising Retinal Pathology
Author Affiliations & Notes
  • Roshun Sangani
    Department of Ophthalmology & Visual Science, Rutgers New Jersey Medical School, Newark, New Jersey, United States
  • Roger Henry
    Department of Ophthalmology & Visual Science, Rutgers New Jersey Medical School, Newark, New Jersey, United States
  • Megh Ketur Shah
    Department of Ophthalmology & Visual Science, Rutgers New Jersey Medical School, Newark, New Jersey, United States
  • Bernard Szirth
    Department of Ophthalmology & Visual Science, Rutgers New Jersey Medical School, Newark, New Jersey, United States
  • Neelakshi Bhagat
    Department of Ophthalmology & Visual Science, Rutgers New Jersey Medical School, Newark, New Jersey, United States
  • Footnotes
    Commercial Relationships   Roshun Sangani Purchase of the Topcon 3D OCT-1 Maestro Unit was supported by a NJ Health Foundation Grant (#181-21RE), Code F (Financial Support); Roger Henry None; Megh Shah None; Bernard Szirth None; Neelakshi Bhagat Purchase of the Topcon 3D OCT-1 Maestro Unit was supported by a NJ Health Foundation Grant (#181-21RE), Code F (Financial Support)
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science June 2022, Vol.63, 3792 – F0213. doi:
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      Roshun Sangani, Roger Henry, Megh Ketur Shah, Bernard Szirth, Neelakshi Bhagat; Use of Resident Tele-Ophthalmic Diagnosis to Aid in Management of Vision-Compromising Retinal Pathology. Invest. Ophthalmol. Vis. Sci. 2022;63(7):3792 – F0213.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : In recent years, innovations in tele-ophthalmology have shown promise in providing quality ophthalmic care to patients in low-access settings and high-risk environments such as the COVID-19 pandemic. Emergency departments and urgent centers may benefit from tele-ophthalmology applications; the tele-images can be sent to the covering ophthalmologist or, to another ED for evaluation of images prior to transferring the patient. In this study, we aimed to assess the ability of resident physicians to identify features of posterior-pole retinal pathology using tele-ophthalmology.

Methods : Retrospective study on 16 patients (32 eyes; 30 with retinal pathology and 2 controls) who presented to a retina clinic at an academic medical center. Automated OCT-B images with 3D topographic maps and fundus photographs of the posterior pole using a Topcon Maestro 3D OCT-1 unit were taken. Images were transmitted remotely to a resident physician who attempted to identify retina pathology using fundus photography and OCT. The same images were consequently evaluated by a retina specialist for grading. We then tested the concordance between diagnoses rendered via tele-OCT by the resident physician and the gold standard clinical examination (performed by the retina specialist) using Cohen’s Kappa statistic (κ).

Results : An overall average of 79.9% concordance for 69 potential findings was obtained between the retina attending’s diagnosis with clinical examination and the resident physician’s diagnosis using tele-OCT/fundus images based on Cohen’s Kappa statistic (κ). The concordance was lower in eyes with vitreous hemorrhage most likely due to the inferior quality fundus and OCT-B images. The resident exam also identified the presence of any macular pathology in all 30 eyes with macular pathology and correctly identified the controls, indicating 100% sensitivity for identifying abnormal findings using tele OCT/fundus images.

Conclusions : This study verifies the utility of resident screening of tele-OCT fundus and OCT-B images to identify retinal pathology. Tele-ophthalmology likely has a useful role in triaging retinal pathology whose outcomes could be affected by timely intervention. Many unnecessary emergency transfers may be avoided if the on-call ophthalmology residents are able to review the fundus and OCT images before hand.

This abstract was presented at the 2022 ARVO Annual Meeting, held in Denver, CO, May 1-4, 2022, and virtually.

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