June 2021
Volume 62, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2021
Comparisons of Handheld Retinal Imaging Devices with Spectral Domain Optical Coherence Tomography (SDOCT) in the Identification of Macular Pathology
Author Affiliations & Notes
  • Cris Martin Jacoba
    Joslin Diabetes Center Beetham Eye Institute, Boston, Massachusetts, United States
  • Abdulrahman Rageh
    Joslin Diabetes Center Beetham Eye Institute, Boston, Massachusetts, United States
  • Recivall Salongcay
    Philippine Eye Research Institute, University of the Philippines Manila, Manila, Metro Manila, Philippines
    Centre for Public Health, Queen's University Belfast, Belfast, Belfast, United Kingdom
  • Lizzie Anne Aquino
    Philippine Eye Research Institute, University of the Philippines Manila, Manila, Metro Manila, Philippines
  • Claude Michael Garcia Salva
    Philippine Eye Research Institute, University of the Philippines Manila, Manila, Metro Manila, Philippines
  • Jennifer K Sun
    Joslin Diabetes Center Beetham Eye Institute, Boston, Massachusetts, United States
    Harvard Medical School, Boston, Massachusetts, United States
  • Tunde Peto
    Centre for Public Health, Queen's University Belfast, Belfast, Belfast, United Kingdom
  • Lloyd Paul Aiello
    Joslin Diabetes Center Beetham Eye Institute, Boston, Massachusetts, United States
    Harvard Medical School, Boston, Massachusetts, United States
  • Paolo S Silva
    Joslin Diabetes Center Beetham Eye Institute, Boston, Massachusetts, United States
    Harvard Medical School, Boston, Massachusetts, United States
  • Footnotes
    Commercial Relationships   Cris Martin Jacoba, None; Abdulrahman Rageh, None; Recivall Salongcay, None; Lizzie Anne Aquino, None; Claude Michael Salva, None; Jennifer Sun, Adaptive Sensory Technologies (F), Boehringer Ingelheim (F), Kalvista (F), Novo Nordisk (R), Optovue (F), Roche (F), Roche (R); Tunde Peto, None; Lloyd Aiello, KalVista (C), KalVista (I), Novo Nordisk (C); Paolo Silva, Hillrom (F), Optomed (F), Optos (F)
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science June 2021, Vol.62, 1907. doi:
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      Cris Martin Jacoba, Abdulrahman Rageh, Recivall Salongcay, Lizzie Anne Aquino, Claude Michael Garcia Salva, Jennifer K Sun, Tunde Peto, Lloyd Paul Aiello, Paolo S Silva; Comparisons of Handheld Retinal Imaging Devices with Spectral Domain Optical Coherence Tomography (SDOCT) in the Identification of Macular Pathology. Invest. Ophthalmol. Vis. Sci. 2021;62(8):1907.

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

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Abstract

Purpose : To compare monoscopic macula centered images taken by mydriatic handheld retinal imaging with SDOCT for detection of macular pathology in diabetic patients.

Methods : Mydriatic macular images of 177 eyes of 92 diabetic patients were taken with 3 handheld retinal imaging devices [Aurora (AU), Smartscope (SS), RV700 (RV)] and compared with the Cirrus 6000 SDOCT taken during the same visit. Images were evaluated for the presence of diabetic macular edema (DME) on monoscopic fundus photographs adapted from Early Treatment Diabetic Retinopathy Study (ETDRS) definitions [no DME, noncenter-involved DME (non-ciDME) and center-involved DME (ciDME)]. Presence of DME on SDOCT used DRCR Retina Network Cirrus gender-based thresholds of central subfield thickness. Sensitivity and specificity were calculated for each device with the SDOCT as gold standard.

Results : Mean age was 56.6±10.8 years and 38% were male. Severity by ETDRS grading: No DR 40.1%, mild NPDR 19.2%, moderate 14.7%, severe 10.2%, proliferative 15.8%, ungradable for DR 0%; no DME 72.9%, non-ciDME 6.8%, ciDME 17.0%, ungradable for DME 3.4%. Gradable images by SDOCT (N=174, 98.3%) showed no DME in 84.7%, non-ciDME in 4.9%, and ciDME in 10.4%. Epiretinal membranes (ERM) were the second most common pathology, present in 11.9% of eyes. Ungradable rate for images (poor visualization in >50% of the macula), was AU:12.3%, SS:16.0%, RV:8.6%. Summary results are shown in table 1. For non-ciDME, sensitivity and specificity were similar across devices (0.71 – 0.78, 0.93 – 0.96) but sensitivity for ciDME was highest with AU(0.76). For nondiabetic macular pathology across all devices, sensitivity was highly variable (0.13 – 0.67) but highly specific (0.99 – 1.00). Sensitivity for ERM was lowest across all devices (0.13 – 0.46).

Conclusions : Compared to SDOCT, monoscopic handheld macular imaging attains high specificity but low sensitivity in identifying macular pathology. Without stereopsis, 22-29% of eyes without DME on monoscopic photos have DME on SDOCT, and 28-37% of eyes with DME on monoscopic handheld imaging will have no DME on SDOCT. Additionally 54-87% of eyes with macular ERM are missed without SDOCT imaging. This suggests the importance of SDOCT integration to improve detection of macular pathology, leading to appropriate referrals in large-scale DR screening programs.

This is a 2021 ARVO Annual Meeting abstract.

 

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