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
Abstract
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.
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
- FWCI
- 46.98
- Percentile
- 100%
- References
- 47
Authors
6- AYAlice Y. Kim
Southern California Eye Institute, University of Southern California
- ZCZhongdi Chu
University of Washington
- ASAnoush Shahidzadeh
University of Southern California, Southern California Eye Institute
- RKRuikang K. Wang
University of Washington
- CACarmen A. Puliafito
University of Southern California, Southern California Eye Institute
Topics & keywords
- Diabetic retinopathy
- Retinal
- Ophthalmology
- Medicine
- Repeatability
- Optical coherence tomography angiography
- Optical coherence tomography
- Microangiography
- Good health and well-being