June 2017
Volume 58, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2017
Assessment of the concordance of the diagnosis of diabetic retinopathy made by color fundus photograph review
Author Affiliations & Notes
  • Maria Paula Aquino
    Hospital Universitario Austral, Pilar, Argentina
  • Fernanda Forgues
    Hospital Universitario Austral, Pilar, Argentina
  • Agustina Adaniya
    Hospital Universitario Austral, Pilar, Argentina
  • Juan Pablo Fernandez
    Hospital Universitario Austral, Pilar, Argentina
  • Matias Juan Portela
    Hospital Universitario Austral, Pilar, Argentina
  • Nicolas Montes
    Hospital Universitario Austral, Pilar, Argentina
  • Anahi Lupinacci
    Hospital Universitario Austral, Pilar, Argentina
  • Ariel Shlaen
    Hospital Universitario Austral, Pilar, Argentina
  • Mario Joaquin Saravia
    Hospital Universitario Austral, Pilar, Argentina
  • Footnotes
    Commercial Relationships   Maria Aquino, None; Fernanda Forgues, None; Agustina Adaniya, None; Juan Fernandez, None; Matias Portela, None; Nicolas Montes, None; Anahi Lupinacci, None; Ariel Shlaen, None; Mario Saravia, None
  • Footnotes
    Support  none
Investigative Ophthalmology & Visual Science June 2017, Vol.58, 2913. doi:
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      Maria Paula Aquino, Fernanda Forgues, Agustina Adaniya, Juan Pablo Fernandez, Matias Juan Portela, Nicolas Montes, Anahi Lupinacci, Ariel Shlaen, Mario Joaquin Saravia; Assessment of the concordance of the diagnosis of diabetic retinopathy made by color fundus photograph review. Invest. Ophthalmol. Vis. Sci. 2017;58(8):2913.

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

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Abstract

Purpose : To assess the concordance of the diagnosis of diabetic retinopathy performed by residents, experts and retinalyze RD operating system by reviewing color fundus photographs of a series of diabetic patients.

Methods : This is a prospective study performed in tertiary school hospital. Patients with diagnosis of diabetes of the diabetes department at Hospital Universitario Austral were consecutively included, from 1st August to 1st November 2016. Collected data included age, gender, diabetes type, time from diagnosis, systemic treatment (oral hypoglycemic agents and/or insulin), signs of diabetic retinopathy (yes or no). Fundus photographs of both eyes were taken with TOPCON TRC NW200 non mydriatic retinal camera. Every image was reviewed by a resident, a retina specialist, and the retinalyze RD operating system. Chi square and K coefficient of concordance were used as appropriate.

Results : Three hundred and twenty one consecutive patients were included, while 292 of them (114 males, 178 females) have photographs clearly enough to be assessed. Average age of the assessed patients was of 53,27 ± 11,21 years. Type 2 diabetes was found in 262 patients, while type 1 diabetes was recorded in 29 patients. K concordance coefficient was 0.67 when comparing between the assessment performed by the resident and the retina expert. K concordance coefficient was 0.27 when comparing between the assessment performed by the retina expert and the retinalyze operating system. K concordance coefficient was 0.23 when comparing between the assessment performed by the resident and the retinalyze operating system.

Conclusions : Concordance of the diagnosis of diabetic retinopathy was strong when comparing the performance of the resident and the expert. Concordance of the diagnosis of diabetic retinopathy was weak when comparing the performance of the retinalyze operating system and the expert or the resident.

This is an abstract that was submitted for the 2017 ARVO Annual Meeting, held in Baltimore, MD, May 7-11, 2017.

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