A method for age-matched OCT angiography deviation mapping in the assessment of disease- related changes to the radial peripapillary capillaries

Autor: Toco Yuen Ping Chui, Lawrence S. Geyman, Rachel E Linderman, Brian D Krawitz, Shelley Mo, Richard B Rosen, Alexander Pinhas, Joseph Carroll
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Male
Eye Diseases
Epidemiology
Glaucoma
lcsh:Medicine
Standard deviation
Mathematical and Statistical Techniques
0302 clinical medicine
Oct angiography
Medicine and Health Sciences
Medicine
Fluorescein Angiography
Child
lcsh:Science
Aged
80 and over
Multidisciplinary
Age Factors
Middle Aged
Physical Sciences
Regression Analysis
Female
Tomography
Analysis of variance
Anatomy
Perfusion
Statistics (Mathematics)
Glaucoma
Open-Angle
Tomography
Optical Coherence
Research Article
Adult
Adolescent
Ocular Anatomy
Anemia
Sickle Cell
Disease Surveillance
Linear Regression Analysis
Research and Analysis Methods
Optic Disc
Retina
03 medical and health sciences
Ocular System
Statistical significance
Image Interpretation
Computer-Assisted
Retinal Vein Occlusion
Linear regression
Humans
Statistical Methods
Aged
Analysis of Variance
Diabetic Retinopathy
business.industry
lcsh:R
Biology and Life Sciences
Retinal Vessels
Optic Nerve
medicine.disease
Ophthalmology
Age Groups
Case-Control Studies
People and Places
030221 ophthalmology & optometry
Eyes
Population Groupings
lcsh:Q
sense organs
business
Nuclear medicine
Head
Mathematics
030217 neurology & neurosurgery
Zdroj: PLoS ONE, Vol 13, Iss 5, p e0197062 (2018)
PLoS ONE
ISSN: 1932-6203
Popis: Purpose To present a method for age-matched deviation mapping in the assessment of disease-related changes to the radial peripapillary capillaries (RPCs). Methods We reviewed 4.5x4.5mm en face peripapillary OCT-A scans of 133 healthy control eyes (133 subjects, mean 41.5 yrs, range 11–82 yrs) and 4 eyes with distinct retinal pathologies, obtained using spectral-domain optical coherence tomography angiography. Statistical analysis was performed to evaluate the impact of age on RPC perfusion densities. RPC density group mean and standard deviation maps were generated for each decade of life. Deviation maps were created for the diseased eyes based on these maps. Large peripapillary vessel (LPV; noncapillary vessel) perfusion density was also studied for impact of age. Results Average healthy RPC density was 42.5±1.47%. ANOVA and pairwise Tukey-Kramer tests showed that RPC density in the ≥60yr group was significantly lower compared to RPC density in all younger decades of life (p
Databáze: OpenAIRE
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