June 2022
Volume 63, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2022
A comparison between two white LED confocal imaging systems for detection of diabetic retinopathy.
Author Affiliations & Notes
  • Valentina Sarao
    Dept of Ophthalmology, Universita degli Studi di Udine, Udine, Friuli-Venezia Giulia, Italy
    Istituto Europeo di Microchirurgia Oculare-IEMO, Udine, Italy
  • Daniele Veritti
    Dept of Ophthalmology, Universita degli Studi di Udine, Udine, Friuli-Venezia Giulia, Italy
  • Paolo Lanzetta
    Dept of Ophthalmology, Universita degli Studi di Udine, Udine, Friuli-Venezia Giulia, Italy
    Istituto Europeo di Microchirurgia Oculare-IEMO, Udine, Italy
  • Footnotes
    Commercial Relationships   Valentina Sarao Centervue, Code C (Consultant/Contractor), Roche, Code C (Consultant/Contractor); Daniele Veritti Bayer, Code C (Consultant/Contractor), Novartis, Code C (Consultant/Contractor), Roche, Code C (Consultant/Contractor); Paolo Lanzetta Aerie, Code C (Consultant/Contractor), Apellis, Code C (Consultant/Contractor), Bayer, Code C (Consultant/Contractor), Biogen, Code C (Consultant/Contractor), Centervue, Code C (Consultant/Contractor), Novartis, Code C (Consultant/Contractor), Roche, Code C (Consultant/Contractor)
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science June 2022, Vol.63, 999 – F0246. doi:
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Valentina Sarao, Daniele Veritti, Paolo Lanzetta; A comparison between two white LED confocal imaging systems for detection of diabetic retinopathy.. Invest. Ophthalmol. Vis. Sci. 2022;63(7):999 – F0246.

      Download citation file:


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

      ×
  • Supplements
Abstract

Purpose : To evaluate the performance of two different white-light emitting diode (LED) confocal imaging systems in diabetic retinopathy (DR) grading.

Methods : In this prospective, instrument validation study, participants with type 1 or type 2 diabetes were scanned consecutively with two different white LED confocal scanners: Eidon and DRSplus (Centervue, Padova, Italy). Two-field retinal photographs were captured for each eye using Eidon (60 degrees, macula-centred and disc-centred fields) and DRSplus (45 degrees, macula-centred and disc-centred fields). Retinal images were randomly submitted to a certified retinal expert for grading in accordance with the DR grading system used in the UK National Health service (NHS). All case were also graded as referable DR (RDR) or not RDR.

Results : One hundred and fifty-five eyes of 78 diabetic patients were included in the analysis. Mean (± standard deviation) age of enrolled patients was 59.2 (± 5.3) years. Images from 5 eyes (3.2%) were classified as ungradable using DRSplus, 3 of these cases were judged as not gradable using Eidon. Among all gradable exams, the level of DR identified on images acquired using DRSplus agreed with those obtained with Eidon in 94% of cases. Cohen's kappa coefficient (κ) was 0.88. There was a 100% agreement when considering RDR.

Conclusions : An excellent agreement between Eidon and DRSplus was reported in determining the DR severity and RDR.

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

×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×