July 2019
Volume 60, Issue 9
Open Access
ARVO Annual Meeting Abstract  |   July 2019
Longitudinal study of retinal vessel oxygen saturation in diabetic retinopathy.
Author Affiliations & Notes
  • Sveinn Hakon Hardarson
    Institute of Physiology, University of Iceland, Reykjavik, Iceland
    Ophthalmology, University of Iceland, Reykjavik, Iceland
  • Robert Arnar Karlsson
    Institute of Physiology, University of Iceland, Reykjavik, Iceland
    Electrical and Computer Engineering, University of Iceland, Reykjavik, Iceland
  • Toke Bek
    Department of Ophthalmology, Aarhus University Hospital, Aarhus, Denmark
  • Footnotes
    Commercial Relationships   Sveinn Hardarson, Oxymap ehf. (I), Oxymap ehf. (C), Oxymap ehf. (P), Oxymap ehf. (S); Robert Karlsson, Oxymap ehf. (I), Oxymap ehf. (E), Oxymap ehf. (P), Oxymap ehf. (S); Toke Bek, None
  • Footnotes
    Support  Icelandic Research Council, Helga Jonsdottir and Sigurlidi Kristjansson Memorial Fund, Giving Sight to the Blind Memorial fund, University of Iceland Research Fund, University of Iceland Doctoral Fund, Toyota Foundation.
Investigative Ophthalmology & Visual Science July 2019, Vol.60, 6097. doi:
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      Sveinn Hakon Hardarson, Robert Arnar Karlsson, Toke Bek; Longitudinal study of retinal vessel oxygen saturation in diabetic retinopathy.. Invest. Ophthalmol. Vis. Sci. 2019;60(9):6097.

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

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Abstract

Purpose : To test, with different methods for retinal oximetry, if a change is detected over time in retinal oxygenation in diabetic retinopathy.

Methods : Oximetry images of 214 patients with diabetic retinopathy were collected with the Oxymap T1 retinal oximeter in an outpatient clinic in Aarhus, Denmark. Imaging was repeated at subsequent patient visits. The Oxymap Analyzer 2.5.1 (ver.10981) was used for a single-blind, semi-automatic assessement of retinal vessel oxygen saturation. The same vessel segments were matched between visits. Different filtering, weigthing and averaging of the data was tested and compared. Automatic image quality assessment was also made with the Oxymap Analyzer software.

Results : The median follow-up time was 3.0 years (min 0.8 years, max 6.8 years). Oxygen saturation in retinal arterioles increased from 95.9%±5.2% at the first visit to 97.6%±4.7% at the second visit (p<0.0001, standard analysis method). The corresponding numbers for venules were 67.9%±8.2% at the first visit and 71.9%±7.7% at the second visit (p<0.0001). Arteriovenous difference decreased from 27.9%±6.9% to 25.7%±6.5% (p<0.0001). The figure shows results of different analysis methods. Image quality grade at the first visit was 7.5±1.0 and 7.3±1.0 at the second (p=0.0027).

Conclusions : All analysis methods showed an increase in arterial and venous saturation and a decrease in arteriovenous difference over time. Image quality decreased only slightly during the follow–up period. Semi-automatic analysis of large oximetry datasets is laborious and requires expertise. Ongoing development of automatic oximetry will help mitigate this. Oximetry results should be correlated to other clinical data for further understanding of changes with progression.

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

 

The figure shows the mean change (±SD) in saturation from first to second visit. Red labels indicate analysis method. 1: Standard method. 2: Average weighted with radius in the fourth power (to approximate weighting with blood flow). 3: Only vessels above 10 pixels in diameter included.

The figure shows the mean change (±SD) in saturation from first to second visit. Red labels indicate analysis method. 1: Standard method. 2: Average weighted with radius in the fourth power (to approximate weighting with blood flow). 3: Only vessels above 10 pixels in diameter included.

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