July 2019
Volume 60, Issue 9
ARVO Annual Meeting Abstract  |   July 2019
Evaluation of Quantitative Ultra-widefield Fluorescein Angiography Metrics and Diabetic Macular Edema Features
Author Affiliations & Notes
  • Alice C. Jiang
    Case Western Reserve University School of Medicine, Cleveland Heights, Ohio, United States
    Cleveland Clinic, Ohio, United States
  • Sunil K Srivastava
    Cleveland Clinic, Ohio, United States
  • Joseph Boss
    Cleveland Clinic, Ohio, United States
  • Sumit Sharma
    Cleveland Clinic, Ohio, United States
  • Jamie L. Reese
    Cleveland Clinic, Ohio, United States
  • Justis P Ehlers
    Cleveland Clinic, Ohio, United States
  • Footnotes
    Commercial Relationships   Alice Jiang, None; Sunil Srivastava, Allergan (F), Bausch and Lomb (C), Gilead (F), Leica (P), Regeneron (F), Santen (C); Joseph Boss, None; Sumit Sharma, Eyepoint (C); Jamie Reese, None; Justis Ehlers, Aerpio (C), Aerpio (F), Alcon (C), Alcon (F), Alimera (C), Allergan (C), Boerhinger Ingelheim (F), Genentech (C), Leica (C), Leica (P), Novartis (C), Novartis (F), Regeneron (F), Roche (C), Santen (C), Thrombogenics (C), Thrombogenics (F), Zeiss (C)
  • Footnotes
    Support  NIH/NEI K23-EY022947-01A1, RPB Institutional Grant.
Investigative Ophthalmology & Visual Science July 2019, Vol.60, 2804. doi:https://doi.org/
  • Views
  • Share
  • Tools
    • Alerts
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Alice C. Jiang, Sunil K Srivastava, Joseph Boss, Sumit Sharma, Jamie L. Reese, Justis P Ehlers; Evaluation of Quantitative Ultra-widefield Fluorescein Angiography Metrics and Diabetic Macular Edema Features. Invest. Ophthalmol. Vis. Sci. 2019;60(9):2804. doi: https://doi.org/.

      Download citation file:

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

  • Supplements

Purpose : Diabetic macular edema (DME) is the most common cause of vision loss in patients with diabetes, yet predicting the development and severity of DME remains challenging. Ultra-widefield fluorescein angiography (UWFA) provides extensive information on the disease burden in diabetic retinopathy and emerging technology enables quantification of imaging features found on UWFA. The purpose of this study is to examine the relationship between quantitative UWFA metrics and DME.

Methods : A retrospective image analysis study was conducted of eyes with diabetic retinopathy that had undergone both spectral domain-optic coherence tomography (OCT) and UWFA imaging. OCT images were analyzed to determine the presence or absence of DME, central subfield thickness (CST), and subretinal fluid (SRF). Utilizing a semi-automated analysis platform, UWFA images were segmented for various quantitative metrics, such as ischemic index, leakage index, and microaneurysm (MA) count. Clinical variables, including age, sex, race, hemoglobin A1C, blood pressure, cholesterol levels, use of blood thinners, smoking status, and lens status were also evaluated.

Results : A total of 304 eyes (156 OD, 148 OS) from 177 diabetic patients were analyzed in the study. Eyes with DME had a significantly higher proportion of posterior pole MAs (p<0.0001) and posterior pole leakage index (p<0.0001) compared to eyes without DME. DME features, including the severity of macular thickening (i.e., CST) and the presence of SRF, were significantly associated with posterior pole leakage index (p=0.0002 and p=0.004 respectively), but not posterior pole MA count. In addition to posterior pole leakage index and MA count, DME was associated with age (p<0.01), systolic blood pressure (p<0.001), and African American race (p<0.01). Panretinal leakage index, MA count, and ischemic index were not associated with DME.

Conclusions : Quantitative measures of leakage index and MA count in the posterior pole on UWFA images were associated with the presence and severity of DME. Panretinal analyses, including ischemic index, were not linked to DME. Additional research is needed to determine the role of quantitative UWFA in predicting DME development and characterizing prognosis.

This abstract was presented at the 2019 ARVO Annual Meeting, held in Vancouver, Canada, April 28 - May 2, 2019.


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.