June 2017
Volume 58, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2017
Flow Void Analysis: Multiscale Quantitation and Visualization of Choriocapillaris Alterations in Age-Related Macular Degeneration Using OCT Angiography
Author Affiliations & Notes
  • A. Yasin Alibhai
    New England Eye Center at Tufts Medical Center, Boston, Massachusetts, Boston , Massachusetts, United States
  • Eric M. Moult
    Department of Electrical Engineering and Computer Science, and Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States
  • Carl B Rebhun
    New England Eye Center at Tufts Medical Center, Boston, Massachusetts, Boston , Massachusetts, United States
  • Carlos Augusto Moreira Neto
    New England Eye Center at Tufts Medical Center, Boston, Massachusetts, Boston , Massachusetts, United States
  • Eduardo Amorim Novais
    Department of Ophthalmology, Federal University of São Paulo, School of Medicine, São Paulo, Brazil
    New England Eye Center at Tufts Medical Center, Boston, Massachusetts, Boston , Massachusetts, United States
  • ByungKun Lee
    Department of Electrical Engineering and Computer Science, and Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States
  • Julia Schottenhamml
    Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
  • Lennart Husvogt
    Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
  • Andreas K Maier
    Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
  • Philip J Rosenfeld
    Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida, United States
  • Jay S Duker
    New England Eye Center at Tufts Medical Center, Boston, Massachusetts, Boston , Massachusetts, United States
  • Nadia Waheed
    New England Eye Center at Tufts Medical Center, Boston, Massachusetts, Boston , Massachusetts, United States
  • James G Fujimoto
    Department of Electrical Engineering and Computer Science, and Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States
  • Footnotes
    Commercial Relationships   A. Yasin Alibhai, None; Eric Moult, None; Carl Rebhun, None; Carlos Moreira Neto, None; Eduardo Novais, None; ByungKun Lee, None; Julia Schottenhamml, None; Lennart Husvogt, None; Andreas Maier, None; Philip Rosenfeld, Carl Zeiss Meditec, Inc. (F), Carl Zeiss Meditec, Inc. (C), Carl Zeiss Meditec, Inc. (R); Jay Duker, Carl Zeiss Meditec, Inc. (C), Carl Zeiss Meditec, Inc. (F), Optovue, Inc. (C), Optovue, Inc. (F), Topcon Medical Systems, Inc. (C), Topcon Medical Systems, Inc. (F); Nadia Waheed, Carl Zeiss Meditec, Inc. (R), Genentech (C), Janssen (C), Macula Vision Research Foundation (F), Nidek (R), Ocudyne (C), Optovue, Inc. (R), Regeneron (C); James Fujimoto, Carl Zeiss Meditec, Inc. (P), Optovue, Inc. (I), Optovue, Inc. (P)
  • Footnotes
    Support  National Institutes of Health grant 5-R01-EY011289-28, Air Force Office of Scientific Research grants FA9550-15-1-0473 and FA9550-10-1-0551, Macula Vision Research Foundation (MVRF) grant
Investigative Ophthalmology & Visual Science June 2017, Vol.58, 817. doi:
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    • Get Citation

      A. Yasin Alibhai, Eric M. Moult, Carl B Rebhun, Carlos Augusto Moreira Neto, Eduardo Amorim Novais, ByungKun Lee, Julia Schottenhamml, Lennart Husvogt, Andreas K Maier, Philip J Rosenfeld, Jay S Duker, Nadia Waheed, James G Fujimoto; Flow Void Analysis: Multiscale Quantitation and Visualization of Choriocapillaris Alterations in Age-Related Macular Degeneration Using OCT Angiography. Invest. Ophthalmol. Vis. Sci. 2017;58(8):817.

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

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Abstract

Purpose : The choriocapillaris (CC) is important in the pathophysiology of age-related macular degeneration (AMD). This study aims to develop optical coherence tomography angiography (OCTA) techniques for quantifying and visualizing CC alterations.

Methods : We developed a novel metric for quantifying CC flow voids (areas of no/low blood flow), as well as a display method: multiscale flow void mapping (MFVM). The metric was tested on normal controls (13 eyes, 9 subjects; 68.2±6.89 y/o), eyes with small drusen (volume<0.02 mm3; 8 eyes, 7 subjects; 69.3±11.22 y/o), large drusen (volume≥0.02 mm3; 6 eyes, 5 subjects; 80.0±5.37 y/o), nascent geographic atrophy (nGA: lesions showing hypertransmission over a linear dimension >125µm but not evident on routine fundus imaging) and/or drusen-associated geographic atrophy (DAGA) (10 eyes, 9 patients; 74.0±7.39 y/o), and geographic atrophy (GA) (6 eyes, 3 subjects; 81.7±9.40 y/o).

Results : There was a trend of increasing CC alteration with age, though this was only significant (p<0.05) in controls (Fig 1A). There was also a trend of increasing CC alteration with disease state (Fig 1C): Mann-Whitney U testing (without Bonferroni correction) showed significantly (p<0.05) different metric values between nGA/DAGA and all other groups, and GA and all other groups (Fig 1D); with Bonferroni correction nGA/DAGA could not be distinguished from large drusen. This analysis did not account for inter-group age variations (Fig 1B), or multiple eyes from the same patient. MFVM was useful for visualizing CC alterations (Fig 2).

Conclusions : Quantitative analysis and MVFM may be useful for monitoring CC alteration as a marker of disease progression.

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

 

Figure 1. (A) Scatter plot of metric vs. age, evaluated over entire 6x6mm field. Spearman’s rho and p-values are shown top left. (B) p-values for age comparisons. (C) Box plots of flow void analysis metric. (D) p-values for metric comparisons.

Figure 1. (A) Scatter plot of metric vs. age, evaluated over entire 6x6mm field. Spearman’s rho and p-values are shown top left. (B) p-values for age comparisons. (C) Box plots of flow void analysis metric. (D) p-values for metric comparisons.

 

Figure 2: Multiscale flow void mapping (MFVM). (A) 80 y/o control eye. (B) 85 y/o large drusen eye. (C) 74 y/o nGA/DAGA eye. (D) 71 y/o GA eye. 1st Row: Color fundus photo. 2nd Row: sub retinal pigment epithelium OCT slab. 3rd Row: 6x6mm en face CC OCTA slab. 4th Row: metric heat map with 0.3mm2 kernel. 5th Row: metric heat map, with 0.6mm2 kernel. 6th Row: metric heat map with 1.2 mm2 kernel. Blue (red) corresponds to less (more) CC alteration.

Figure 2: Multiscale flow void mapping (MFVM). (A) 80 y/o control eye. (B) 85 y/o large drusen eye. (C) 74 y/o nGA/DAGA eye. (D) 71 y/o GA eye. 1st Row: Color fundus photo. 2nd Row: sub retinal pigment epithelium OCT slab. 3rd Row: 6x6mm en face CC OCTA slab. 4th Row: metric heat map with 0.3mm2 kernel. 5th Row: metric heat map, with 0.6mm2 kernel. 6th Row: metric heat map with 1.2 mm2 kernel. Blue (red) corresponds to less (more) CC alteration.

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