Literature DB >> 29694957

Reliability of Vessel Density Measurements in the Peripapillary Retina and Correlation with Retinal Nerve Fiber Layer Thickness in Healthy Subjects Using Optical Coherence Tomography Angiography.

Xiangjun She1, Jiaxian Guo1, Xiaoying Liu1, Hong Zhu1,2, Tong Li1, Minwen Zhou1, Fenghua Wang1,3,2, Xiaodong Sun4,5,6.   

Abstract

PURPOSE: To evaluate the reliability of vessel density measurements in the peripapillary retina using optical coherence tomography angiography (OCT-A) and to analyze the correlation with retinal nerve fiber layer (RNFL) thickness in healthy subjects.
METHOD: Thirty-five healthy volunteers were recruited in the study. The optic disc region was scanned three times with spectral-domain OCT (SD-OCT) and split-spectrum amplitude decorrelation angiography by two skilled examiners. Vessel density of the peripapillary retina was automatically calculated by the software RTVue-XR (version 2015.1.1.98). The RNFL thickness on the optic nerve head was measured by SD-OCT. The coefficient of variation (CV), coefficient of repeatability, and intraclass correlation coefficients (ICC) were calculated for intraobserver repeatability. The Bland-Altman analysis was used to determine interobserver reproducibility. Correlations between peripapillary retinal vessel density and RNFL thickness were analyzed using a multivariable linear regression.
RESULTS: The mean age of the volunteers was 47.0 ± 29.7 years. The intraobserver repeatability in different sectors of the peripapillary retina was good with a high coefficient of repeatability, low CV (< 0.2%), and high ICC (0.847-0.952). The interobserver reproducibility was also good in different sectors, but should be interpreted with caution due to the difference bias caused by different observers in some quadrants. There was a significant positive correlation between vessel density and RNFL thickness; optic disc rim area and disc area were negatively related to vessel density (p = 0.008 and p = 0.001, respectively).
CONCLUSION: Vessel density measurements showed good repeatability and reproducibility by OCT-A in the peripapillary retina, the vessel density was positively related to RNFL thickness and negatively related to optic disc area and rim area.
© 2018 S. Karger AG, Basel.

Keywords:  Optical coherence tomography angiography; Repeatability; Retinal fiber layer thickness

Mesh:

Year:  2018        PMID: 29694957     DOI: 10.1159/000485957

Source DB:  PubMed          Journal:  Ophthalmologica        ISSN: 0030-3755            Impact factor:   3.250


  11 in total

1.  Association Between Parapapillary Choroidal Vessel Density Measured With Optical Coherence Tomography Angiography and Future Visual Field Progression in Patients With Glaucoma.

Authors:  Hae Young-Lopilly Park; Da Young Shin; Soo Ji Jeon; Chan Kee Park
Journal:  JAMA Ophthalmol       Date:  2019-06-01       Impact factor: 7.389

2.  The vascular densities of the macula and optic disc in normal eyes from children by optical coherence tomography angiography.

Authors:  Yichi Zhang; Bihong Zhang; Min Fan; Xiang Gao; Xin Wen; Zijing Li; Peng Zeng; Weiping Tan; Yuqing Lan
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2019-11-15       Impact factor: 3.117

3.  Normative intercapillary distance and vessel density data in the temporal retina assessed by wide-field spectral-domain optical coherence tomography angiography.

Authors:  Keke Liu; Yukun Guo; Qisheng You; Tristan Hormel; Thomas S Hwang; Yali Jia
Journal:  Exp Biol Med (Maywood)       Date:  2021-08-26

4.  Evaluation of the Effect of Religious Fasting on Retinal Vessel Density and Retinal Thickness Using Optical Coherence Tomography Angiography.

Authors:  Saeed Shokoohi-Rad; Nasser Shoeibi; Mohammad Ghasemi Nour; Elham Bakhtiari
Journal:  Neuroophthalmology       Date:  2021-11-04

5.  Quantification and Repeatability of Vessel Density and Flux as Assessed by Optical Coherence Tomography Angiography.

Authors:  Konstantinos Pappelis; Nomdo M Jansonius
Journal:  Transl Vis Sci Technol       Date:  2019-05-02       Impact factor: 3.283

6.  Ocular Determinants of Peripapillary Vessel Density in Healthy African Americans: The African American Eye Disease Study.

Authors:  Andrew J Nelson; Ryuna Chang; Vivian LeTran; Brian Vu; Bruce Burkemper; Zhongdi Chu; Ali Fard; Amir Kashani; Benjamin Xu; Ruikang Wang; Rohit Varma; Grace M Richter
Journal:  Invest Ophthalmol Vis Sci       Date:  2019-08-01       Impact factor: 4.799

7.  Quantitative assessment and determinants of the papillary microvasculature in healthy subjects.

Authors:  Li-Jun Zhou; Xiu-Zhi Luo; Pei-Yang Shen; Xin Li; Peng Su; Zhe Zhu; Shi-Gang Yan; Xiang-Bin Kong; Xiao-He Lu
Journal:  BMC Ophthalmol       Date:  2021-03-20       Impact factor: 2.209

8.  Assessment of the retinal vasculature in healthy Chinese preschool children aged 4-6 years old using optical coherence tomography angiography.

Authors:  Lu Xiang; Yingming Zhou; Yanwei Chen; Siyu Jiang; Chunli Fei; Yangyang Wang; Yang Bai; Xuan Zhang; Kai Li; Xi Shen
Journal:  BMC Ophthalmol       Date:  2021-12-02       Impact factor: 2.209

9.  Association of Neuroretinal Thinning and Microvascular Changes with Hypertension in an Older Population in Southern Italy.

Authors:  Alfredo Niro; Giancarlo Sborgia; Luisa Lampignano; Gianluigi Giuliani; Fabio Castellana; Roberta Zupo; Ilaria Bortone; Pasquale Puzo; Angelo Pascale; Valentina Pastore; Rosa Buonamassa; Roberta Galati; Marco Bordinone; Flavio Cassano; Chiara Griseta; Sarah Tirelli; Madia Lozupone; Vitoantonio Bevilacqua; Francesco Panza; Rodolfo Sardone; Giovanni Alessio; Francesco Boscia
Journal:  J Clin Med       Date:  2022-02-19       Impact factor: 4.241

10.  Intrasession repeatability and intersession reproducibility of peripapillary OCTA vessel parameters in non-glaucomatous and glaucomatous eyes.

Authors:  Jae Chang Lee; Dominic J Grisafe; Bruce Burkemper; Brenda R Chang; Xiao Zhou; Zhongdi Chu; Ali Fard; Mary Durbin; Brandon J Wong; Brian J Song; Benjamin Y Xu; Ruikang Wang; Grace M Richter
Journal:  Br J Ophthalmol       Date:  2020-09-11       Impact factor: 4.638

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