April 2014
Volume 55, Issue 13
Free
ARVO Annual Meeting Abstract  |   April 2014
ASSESSMENT OF RETINAL VASCULITIS USING THE RETINAL FUNCTION IMAGER (RFI)
Author Affiliations & Notes
  • Nicole Stuebiger
    Department of Ophthalmology, Charite, University Medicine Berlin, Berlin, Germany
  • Aizhu Tao
    Bascom Palmer Eye Institute, University of Miami, Miami, FL
    Ophthalmology and Optometry, School of Ophthalmology and Optometry, Wenzhou Medical College, Wenzhou, China
  • Wen-Hsiang Lee
    Bascom Palmer Eye Institute, University of Miami, Miami, FL
  • Sandra Pineda
    Bascom Palmer Eye Institute, University of Miami, Miami, FL
  • Hong Jiang
    Bascom Palmer Eye Institute, University of Miami, Miami, FL
  • Jianhua Wang
    Bascom Palmer Eye Institute, University of Miami, Miami, FL
  • Janet L Davis
    Bascom Palmer Eye Institute, University of Miami, Miami, FL
  • Delia DeBuc
    Bascom Palmer Eye Institute, University of Miami, Miami, FL
  • Footnotes
    Commercial Relationships Nicole Stuebiger, None; Aizhu Tao, None; Wen-Hsiang Lee, None; Sandra Pineda, None; Hong Jiang, None; Jianhua Wang, NIH (F), RBP (F); Janet Davis, None; Delia DeBuc, Department of Defense (DOD- Grant#W81XWH-09-1-0675) (F), NIH Center Core Grant P30EY014801 (F), NIH R01EY020607 (F), NIH/NEI-EY020607 (F), US 61/139,082 (P)
  • Footnotes
    Support None
Investigative Ophthalmology & Visual Science April 2014, Vol.55, 2858. doi:
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      Nicole Stuebiger, Aizhu Tao, Wen-Hsiang Lee, Sandra Pineda, Hong Jiang, Jianhua Wang, Janet L Davis, Delia DeBuc; ASSESSMENT OF RETINAL VASCULITIS USING THE RETINAL FUNCTION IMAGER (RFI). Invest. Ophthalmol. Vis. Sci. 2014;55(13):2858.

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

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Abstract
 
Purpose
 

Recent advances on optical imaging techniques enable imaging the retinal microvasculature at the capillary level. Herein we present the feasibility and applicability in diagnostic imaging of the retinal blood flow (BF) velocity and in assessing high-resolution, non-invasive capillary perfusion maps (nCPMs) in patients with retinal vasculitis using a commercially available Retinal Function Imager (RFI, Optical Imaging Ltd, Rehovot, Israel).

 
Methods
 

The RFI is a fundus camera-based device with an attachment of a specific camera that captures reflectance changes as a function of time under stroboscopic illumination. This device was originally designed to measure the BF velocity directly and noninvasively (without using any contrast agent) in secondary and tertiary retinal vessels while using the hemoglobin in the red blood cells as an intrinsic motion-contrast agent. In a pilot study we measured the retinal blood flow velocity (Fig. 1) and generated the nCPMs (Fig. 2) with the RFI in 7 patients (m:f=2:5) with a mean age of 51±11 years. Five of these patients suffered from Birdshot Chorioretinopathy and two patients had a retinal vasculitis of unknown origin. We compared these data with a healthy control group (n=32 patients; published data by Burgansky-Eliash et al. in Retina 2010;30(5):765-773).

 
Results
 

In the control group the blood flow velocity in the arteries was 4.1±0.9 mm/s and in the retinal veins 2.9±1.0 mm/s. Comparing these data with the retinal BF velocities of the study group, we achieved significant differences. The vasculitis patients disclosed an arterial blood flow velocity of 2.5 ±1.6mm/s (p<0.0001) and a venous BF velocity of 1.8±1.0 mm/s (p<0.0001). The microvasculature anatomy revealed by the nCPMs appeared unevenly distributed, and lower number of blood vessels along with lower degree of complexity of their branching patterns were evident when compared with a normal healthy eye.

 
Conclusions
 

With the RFI we could show for the first time, that in patients with retinal vasculitis the arterial as well as the venous blood flow velocity are significantly reduced. Thus, imaging the retinal vasculature with the RFI could offer both - a diagnostic and quantifying tool in retinal vasculitis patients and, in addition, a facility for assessing the effectiveness of treatment.

     
Keywords: 550 imaging/image analysis: clinical • 746 uveitis-clinical/animal model  
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