July 2018
Volume 59, Issue 9
Open Access
ARVO Annual Meeting Abstract  |   July 2018
Capillary Perfusion Deviation Mapping in Diabetic Retinopathy using Optical Coherence Tomography Angiography (OCTA) - A Novel Single-Scan Approach
Author Affiliations & Notes
  • Richard B Rosen
    Ophthalmology, New York Eye & Ear Infirmary, New York, New York, United States
    Ophthalmology, Icahn School of Medicine, New York, New York, United States
  • Jorge Andrade Romo
    Ophthalmology, New York Eye & Ear Infirmary, New York, New York, United States
    Ophthalmology, Icahn School of Medicine, New York, New York, United States
  • Brian D Krawitz
    Ophthalmology, New York Eye & Ear Infirmary, New York, New York, United States
    Ophthalmology, Icahn School of Medicine, New York, New York, United States
  • Shelley Mo
    Ophthalmology, New York Eye & Ear Infirmary, New York, New York, United States
    Ophthalmology, Icahn School of Medicine, New York, New York, United States
  • Giselle Lynch
    Ophthalmology, New York Eye & Ear Infirmary, New York, New York, United States
    Ophthalmology, Icahn School of Medicine, New York, New York, United States
  • Rachel E Linderman
    Ophthalmology, Medical College of Wisconsin, Milwaukee, Wisconsin, United States
  • Rishard Weitz
    Ophthalmology, New York Eye & Ear Infirmary, New York, New York, United States
  • Joseph Carroll
    Ophthalmology, Medical College of Wisconsin, Milwaukee, Wisconsin, United States
  • Yuen Ping Toco Chui
    Ophthalmology, New York Eye & Ear Infirmary, New York, New York, United States
    Ophthalmology, Icahn School of Medicine, New York, New York, United States
  • Footnotes
    Commercial Relationships   Richard Rosen, Astellas (C), Bayer (C), Boehringer-Ingelheim (C), Genentech-Roche (F), GlaucoHealth (I), Guardion (I), NanoRetina (C), Opticology (I), Optovue (C), Regeneron (C); Jorge Andrade Romo, None; Brian Krawitz, None; Shelley Mo, None; Giselle Lynch, None; Rachel Linderman, None; Rishard Weitz, CellView (E); Joseph Carroll, Optovue (C); Yuen Chui, None
  • Footnotes
    Support  NH Grants R01EY027301, R01EY024969 and P30EY001931
Investigative Ophthalmology & Visual Science July 2018, Vol.59, 3447. doi:
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      Richard B Rosen, Jorge Andrade Romo, Brian D Krawitz, Shelley Mo, Giselle Lynch, Rachel E Linderman, Rishard Weitz, Joseph Carroll, Yuen Ping Toco Chui; Capillary Perfusion Deviation Mapping in Diabetic Retinopathy using Optical Coherence Tomography Angiography (OCTA) - A Novel Single-Scan Approach. Invest. Ophthalmol. Vis. Sci. 2018;59(9):3447.

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

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Abstract

Purpose : To evaluate an automatic single-scan OCTA capillary density deviation mapping approach that is retinal eccentricity-specific and based on an age-matched database in patients with diabetic retinopathy.

Methods : Healthy controls and diabetic patients were imaged using a commercial SDOCT (Avanti RTVue-XR; Optovue). A 3x3 mm macular OCTA scan was obtained for each participant. Axial lengths were obtained for retinal magnification correction . Full vascular layer OCTA (all vessels located between the inner limiting membrane and 70-µm below the posterior boundary of the inner plexiform layer) was analyzed. (Fig. A). A capillary density map was created after the removal of large vessels on the full layer OCTA (Fig. B). Capillary density map for a given individual full layer OCTA was then compared against a retinal eccentricity-specific and age-matched database based upon 241 controls (age range: 5-81years). A deviation map highlighting regions with capillary density below 5% (in yellow) and 1% (in red) of the reference database were generated (Fig. C). Areas of capillary density below 5% and 1% on the deviation map for each group were compared using one-way ANOVA and post-hoc Tukey-Kramer test.

Results : 30 controls and 78 diabetic eyes (30 - NoDR(no clinical observable retinopathy); 22 NPDR; and 26 PDR) were imaged. The mean±SD of yellow areas were for the the control, NoDR, NPDR, and PDR groups were 4.5±9.6%, 2.7±4.3%, 17.2±17.2%, and 29.5±18.9%, respectively. Similarly, the mean±SD of the red areas for the control, NoDR, NPDR, and PDR groups were 0.8±2.7%, 0.4±1.2%, 6.8±9.8%, and 13.0±13.1% in, respectively. While there were no significant differences between the control and NoDR groups, percentage of yellow and red areas differed significantly between all other groups (p<0.05).

Conclusions : We present a novel single-scan capillary perfusion deviation mapping method which can detect local perfusion deficits and quantify the extent of perfusion abnormality in different stages of diabetic retinopathy (DR) . It may prove clinically useful for grading disease severity and earlier diagnosis of diabetic retinopathy.

This is an abstract that was submitted for the 2018 ARVO Annual Meeting, held in Honolulu, Hawaii, April 29 - May 3, 2018.

 

OCTA deviation mapping of capillary density in a patient with PDR. A) Full vascular layer OCTA. B) Capillary density map after removal of large blood vessels. C) Deviation map based on a retinal eccentricity-specific and age-matched database.

OCTA deviation mapping of capillary density in a patient with PDR. A) Full vascular layer OCTA. B) Capillary density map after removal of large blood vessels. C) Deviation map based on a retinal eccentricity-specific and age-matched database.

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