Quantification of Microvascular Density of the Optic Nerve Head in Diabetic Retinopathy Using Optical Coherence Tomographic Angiography

Aims. To quantify the capillary density of the optic nerve head in healthy control eyes and different stages of diabetic retinopathy (DR) eyes and identify the parameters to detect eyes with or without DR using optical coherence tomographic angiography (OCTA). Methods. In this cross-sectional study,...

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Main Authors: Jianfeng Huang, Bodi Zheng, Yingyi Lu, Xiaoya Gu, Hong Dai, Tong Chen
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Journal of Ophthalmology
Online Access:http://dx.doi.org/10.1155/2020/5014035
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author Jianfeng Huang
Bodi Zheng
Yingyi Lu
Xiaoya Gu
Hong Dai
Tong Chen
author_facet Jianfeng Huang
Bodi Zheng
Yingyi Lu
Xiaoya Gu
Hong Dai
Tong Chen
author_sort Jianfeng Huang
collection DOAJ
description Aims. To quantify the capillary density of the optic nerve head in healthy control eyes and different stages of diabetic retinopathy (DR) eyes and identify the parameters to detect eyes with or without DR using optical coherence tomographic angiography (OCTA). Methods. In this cross-sectional study, 211 eyes of 121 participants with type 2 diabetes with different stages of DR or without DR and 73 eyes of 38 healthy age-matched controls were imaged by OCTA. Radial peripapillary capillary (RPC) plexus density and retinal nerve fiber layer (RNFL) thickness were examined. The mixed model binary logistic regression model was used to identify the parameters to detect eyes with or without DR. The area under the receiver operating characteristic (ROC) curve was calculated. Results. RPC density decreased significantly in diabetic patients without DR compared with the healthy controls, and it was negatively correlated with the severity of DR (P<0.01). RPC density was a significant parameter to distinguish diabetic eyes with or without DR (P<0.01). The area under the ROC curve was 0.743. Conclusions. Quantification of RPC density by OCTA provides evidence of microvascular changes in the optic nerve in diabetic patients. RPC density can serve as a possible biomarker in detecting eyes with DR. Larger cohort studies need to support this statement.
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spelling doaj-art-cd0ccb1134e14713b96d589e6ae4ad082025-02-03T06:04:39ZengWileyJournal of Ophthalmology2090-004X2090-00582020-01-01202010.1155/2020/50140355014035Quantification of Microvascular Density of the Optic Nerve Head in Diabetic Retinopathy Using Optical Coherence Tomographic AngiographyJianfeng Huang0Bodi Zheng1Yingyi Lu2Xiaoya Gu3Hong Dai4Tong Chen5Department of Ophthalmology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, No. 1 Dahua Road, Dongcheng District, Beijing 100730, ChinaDepartment of Ophthalmology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, No. 1 Dahua Road, Dongcheng District, Beijing 100730, ChinaDepartment of Ophthalmology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, No. 1 Dahua Road, Dongcheng District, Beijing 100730, ChinaDepartment of Ophthalmology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, No. 1 Dahua Road, Dongcheng District, Beijing 100730, ChinaDepartment of Ophthalmology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, No. 1 Dahua Road, Dongcheng District, Beijing 100730, ChinaDepartment of Ophthalmology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, No. 1 Dahua Road, Dongcheng District, Beijing 100730, ChinaAims. To quantify the capillary density of the optic nerve head in healthy control eyes and different stages of diabetic retinopathy (DR) eyes and identify the parameters to detect eyes with or without DR using optical coherence tomographic angiography (OCTA). Methods. In this cross-sectional study, 211 eyes of 121 participants with type 2 diabetes with different stages of DR or without DR and 73 eyes of 38 healthy age-matched controls were imaged by OCTA. Radial peripapillary capillary (RPC) plexus density and retinal nerve fiber layer (RNFL) thickness were examined. The mixed model binary logistic regression model was used to identify the parameters to detect eyes with or without DR. The area under the receiver operating characteristic (ROC) curve was calculated. Results. RPC density decreased significantly in diabetic patients without DR compared with the healthy controls, and it was negatively correlated with the severity of DR (P<0.01). RPC density was a significant parameter to distinguish diabetic eyes with or without DR (P<0.01). The area under the ROC curve was 0.743. Conclusions. Quantification of RPC density by OCTA provides evidence of microvascular changes in the optic nerve in diabetic patients. RPC density can serve as a possible biomarker in detecting eyes with DR. Larger cohort studies need to support this statement.http://dx.doi.org/10.1155/2020/5014035
spellingShingle Jianfeng Huang
Bodi Zheng
Yingyi Lu
Xiaoya Gu
Hong Dai
Tong Chen
Quantification of Microvascular Density of the Optic Nerve Head in Diabetic Retinopathy Using Optical Coherence Tomographic Angiography
Journal of Ophthalmology
title Quantification of Microvascular Density of the Optic Nerve Head in Diabetic Retinopathy Using Optical Coherence Tomographic Angiography
title_full Quantification of Microvascular Density of the Optic Nerve Head in Diabetic Retinopathy Using Optical Coherence Tomographic Angiography
title_fullStr Quantification of Microvascular Density of the Optic Nerve Head in Diabetic Retinopathy Using Optical Coherence Tomographic Angiography
title_full_unstemmed Quantification of Microvascular Density of the Optic Nerve Head in Diabetic Retinopathy Using Optical Coherence Tomographic Angiography
title_short Quantification of Microvascular Density of the Optic Nerve Head in Diabetic Retinopathy Using Optical Coherence Tomographic Angiography
title_sort quantification of microvascular density of the optic nerve head in diabetic retinopathy using optical coherence tomographic angiography
url http://dx.doi.org/10.1155/2020/5014035
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