articleInvestigative Ophthalmology & Visual ScienceJul 13, 2016GOLD OA

Quantifying Microvascular Density and Morphology in Diabetic Retinopathy Using Spectral-Domain Optical Coherence Tomography Angiography

Southern California Eye Institute · University of Southern California · +1 more institution

PubMed
Indexed incrossrefdoajpubmed

Abstract

Methods

Retrospective, cross-sectional, observational study of healthy and diabetic adult subjects with and without DR. Retinal microvascular changes were assessed by using SD-OCTA images and an intensity-based optical microangiography algorithm. A semiautomated program was used to calculate indices of microvascular density and morphology in nonsegmented and segmented SD-OCTA images. Microvascular density was quantified by using skeleton density (SD) and vessel density (VD), while vessel morphology was quantified as fractal dimension (FD) and vessel diameter index (VDI). Statistical analyses were performed by using the Student's t-test or analysis of variance with post hoc Tukey honest significant difference tests for multiple comparisons.

Results

Eighty-four eyes with DR and 14 healthy eyes were studied. Spearman's rank test demonstrated a negative correlation between DR severity and SD, VD, and FD, and a positive correlation with VDI (ρ = -0.767, -0.7166, -0.768, and +0.5051, respectively; P

Citation impact

516
total citations
FWCI
46.98
Percentile
100%
References
47
Citations per year

Authors

6

Topics & keywords

Keywords
  • Diabetic retinopathy
  • Retinal
  • Ophthalmology
  • Medicine
  • Repeatability
  • Optical coherence tomography angiography
  • Optical coherence tomography
  • Microangiography
UN Sustainable Development Goals
  • Good health and well-being
No related works found for this paper.

Funding