An automated framework to quantify areas of regional ischemia in retinal vascular diseases with OCT angiography

J Biophotonics. 2018 Feb;11(2). doi: 10.1002/jbio.201600312. Epub 2017 Aug 8.

Abstract

In this observational and cross-sectional study, capillary nonperfusion (CNP) and vascular changes in branch retinal vein occlusion (BRVO, sample size [n] = 26) and choroidal neovascularization (CNV, n = 29) were evaluated. Subjects underwent imaging using Optical coherence tomography angiography (Angiovue OCTA, RTVue XR, Optovue Inc., Fremont, California). Local fractal analysis was applied to the OCTA images of superficial, deep and choriocapillaris layer. CNP area (BRVO eyes) and vascular parameters were computed using local fractal-based method. Sensitivity and specificity of vascular parameters were assessed with receiver operating characteristics curve. Automated CNP area showed excellent agreement with manually quantified CNP areas in both superficial (intraclass coefficient [ICC] = 0.96) and deep (ICC = 0.96) layers. BRVO eyes showed significantly altered (P < .05) vascular parameters in both superficial and deep layer as compared to normal eyes (n = 30). CNVM eyes had significantly higher capillary free zones (P < .001) as compared to normal eyes. In normal vs BRVO eyes, vessel density and spacing between the large vessels had similar area under the curve (AUC) (P > .05) in both superficial (0.97 and 0.97, respectively) and deep layer (0.99 and 0.98, respectively). Further, capillary free zones showed high AUC (0.92) in differentiating CNV eyes from normal eyes.

Keywords: angiography; choroid; fractal analysis; optical coherence tomography; retina; vein occlusion.

MeSH terms

  • Adult
  • Aged
  • Angiography / methods*
  • Automation
  • Case-Control Studies
  • Cross-Sectional Studies
  • Female
  • Humans
  • Ischemia / diagnostic imaging*
  • Male
  • Middle Aged
  • Retinal Vessels / diagnostic imaging*
  • Retinal Vessels / physiopathology*
  • Tomography, Optical Coherence / methods*