June 2022
Volume 63, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2022
Utility of Remote Point-Of-Care Tele-Retinal Imaging for Screening and Diagnosis of Diabetic Retinopathy: A Pilot Study
Author Affiliations & Notes
  • Megh Ketur Shah
    Ophthalmology & Visual Science, New Jersey Medical School Division of Clinical Sciences, Newark, New Jersey, United States
  • Roger Henry
    Ophthalmology & Visual Science, New Jersey Medical School Division of Clinical Sciences, Newark, New Jersey, United States
    Rutgers Robert Wood Johnson Medical School New Brunswick, New Brunswick, New Jersey, United States
  • Bernard Szirth
    Ophthalmology & Visual Science, New Jersey Medical School Division of Clinical Sciences, Newark, New Jersey, United States
  • Neelakshi Bhagat
    Ophthalmology & Visual Science, New Jersey Medical School Division of Clinical Sciences, Newark, New Jersey, United States
  • Footnotes
    Commercial Relationships   Megh Shah None; Roger Henry None; Bernard Szirth None; Neelakshi Bhagat None
  • Footnotes
    Support  Purchase of the Topcon 3D OCT-1 Maestro Unit was supported by a NJ Health Foundation Grant (#181-21RE)
Investigative Ophthalmology & Visual Science June 2022, Vol.63, 1008 – F0255. doi:
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      Megh Ketur Shah, Roger Henry, Bernard Szirth, Neelakshi Bhagat; Utility of Remote Point-Of-Care Tele-Retinal Imaging for Screening and Diagnosis of Diabetic Retinopathy: A Pilot Study. Invest. Ophthalmol. Vis. Sci. 2022;63(7):1008 – F0255.

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

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Abstract

Purpose : In the COVID-19 era, tele-retinal technologies are rising to the forefront of contactless ophthalmic care. Point-of-care Optical Coherence Tomography (OCT) and fundus photography remotely analyzed by an off-site retina specialist (tele-R) must be validated for screening retinal disorders. This study assesses the feasibility of tele-R as a screening tool for diabetic retinopathy (DR) in an outpatient clinical setting.

Methods : A retrospective study was conducted on 16 patients (32 eyes, 28 with DR, and 4 controls) presenting to the retina clinic (RC) of an urban academic medical center. Automated OCT-B and 450 fundus photographs of the posterior pole were taken using a Topcon Maestro 3D OCT-1 unit, and 3D topographical maps of the macula were generated. Images were transmitted to a remote retina specialist (blinded to patient history and demographics) who assessed severity of DR and diabetic macular edema (DME). Primary outcomes included grading of DR and DME with fundus and OCT-B images, respectively, using the International Clinical Diabetic Retinopathy classification scale. The secondary outcome was identifying the severity grade of DME using the 3D macular map. Concordance was tested between diagnoses obtained from tele-R assessment and in-person examination by the retina specialist (gold standard) using Cohen’s Kappa statistic (κ). Eyes that could not be assessed were removed from analysis.

Results : 30 of 32 eyes with sufficient data for analysis were included. The average age was 57.9 (±11.2) years. 37% of patients were male, 69% were Hispanic, and 94% had Type 2 diabetes. The κ±standard error (SE) for DR severity was 0.738±0.099 (p<0.001), for DME severity was 0.588±0.122 (p<0.001), and for presence of DME was 0.727±0.122 (p<0.001). The retina specialist was able to grade the DME severity in only 10/14 (71%) eyes using the 3D macular map alone, but in 93% (13/14) eyes with OCT-B images.

Conclusions : Tele-R is a reliable modality for diagnosis of DR severity; there was substantial agreement on identifying DR severity using tele-R vs in-person examination. There was substantial agreement in discerning DME using tele-R vs in-person while only moderate agreement on determining the severity of DME, which suggests that tele-R may useful in identifying presence of DME but not determining the severity of edema.

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

 

 

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