Quantifying the pattern of retinal vascular orientation in diabetic retinopathy using optical coherence tomography angiography

Abstract Quantitative imaging using optical coherence tomography angiography (OCTA) could provide objective tools for the detection and characterization of diabetic retinopathy (DR). In this study, an operator combining the second derivative and Gaussian multiscale convolution is applied to identify...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Yanhui Ma, Matthew P. Ohr, Xueliang Pan, Cynthia J. Roberts
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/483b5f114e2c44d280a5571d603fad4d
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:483b5f114e2c44d280a5571d603fad4d
record_format	dspace
spelling	oai:doaj.org-article:483b5f114e2c44d280a5571d603fad4d2021-12-02T14:53:43ZQuantifying the pattern of retinal vascular orientation in diabetic retinopathy using optical coherence tomography angiography10.1038/s41598-021-95219-92045-2322https://doaj.org/article/483b5f114e2c44d280a5571d603fad4d2021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-95219-9https://doaj.org/toc/2045-2322Abstract Quantitative imaging using optical coherence tomography angiography (OCTA) could provide objective tools for the detection and characterization of diabetic retinopathy (DR). In this study, an operator combining the second derivative and Gaussian multiscale convolution is applied to identify the retinal orientation at each pixel in the OCTA image. We quantified the pattern of retinal vascular orientation and developed three novel quantitative metrics including vessel preferred orientation, vessel anisotropy, and vessel area. Each of eight 45º sectors of the circular disk centered at the macular region was defined as the region of interest. Significant sectoral differences were observed in the preferred orientation (p < 0.0001) and vessel area (p < 0.0001) in the 34 healthy subjects, whereas vessel anisotropy did not demonstrate a significant difference among the eight sectors (p = 0.054). Differential retinal microvascular orientation patterns were observed between healthy controls (n = 34) and the DR subjects (n = 7). The vessel area characterized from the vascular orientation pattern was shown to be strongly correlated with the traditionally reported vessel density (Pearson R > 0.97, p < 0.0001). With three metrics calculated from the vascular orientation pattern simultaneously and sectorally, our quantitative assessment for retinal microvasculature provides more information than vessel density alone and thereby may enhance the detection of DR. These preliminary results suggest the feasibility and advantage of our vessel orientation-based quantitative approach using OCTA to characterize DR-associated changes in retinal microvasculature.Yanhui MaMatthew P. OhrXueliang PanCynthia J. RobertsNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Yanhui Ma Matthew P. Ohr Xueliang Pan Cynthia J. Roberts Quantifying the pattern of retinal vascular orientation in diabetic retinopathy using optical coherence tomography angiography
description	Abstract Quantitative imaging using optical coherence tomography angiography (OCTA) could provide objective tools for the detection and characterization of diabetic retinopathy (DR). In this study, an operator combining the second derivative and Gaussian multiscale convolution is applied to identify the retinal orientation at each pixel in the OCTA image. We quantified the pattern of retinal vascular orientation and developed three novel quantitative metrics including vessel preferred orientation, vessel anisotropy, and vessel area. Each of eight 45º sectors of the circular disk centered at the macular region was defined as the region of interest. Significant sectoral differences were observed in the preferred orientation (p < 0.0001) and vessel area (p < 0.0001) in the 34 healthy subjects, whereas vessel anisotropy did not demonstrate a significant difference among the eight sectors (p = 0.054). Differential retinal microvascular orientation patterns were observed between healthy controls (n = 34) and the DR subjects (n = 7). The vessel area characterized from the vascular orientation pattern was shown to be strongly correlated with the traditionally reported vessel density (Pearson R > 0.97, p < 0.0001). With three metrics calculated from the vascular orientation pattern simultaneously and sectorally, our quantitative assessment for retinal microvasculature provides more information than vessel density alone and thereby may enhance the detection of DR. These preliminary results suggest the feasibility and advantage of our vessel orientation-based quantitative approach using OCTA to characterize DR-associated changes in retinal microvasculature.
format	article
author	Yanhui Ma Matthew P. Ohr Xueliang Pan Cynthia J. Roberts
author_facet	Yanhui Ma Matthew P. Ohr Xueliang Pan Cynthia J. Roberts
author_sort	Yanhui Ma
title	Quantifying the pattern of retinal vascular orientation in diabetic retinopathy using optical coherence tomography angiography
title_short	Quantifying the pattern of retinal vascular orientation in diabetic retinopathy using optical coherence tomography angiography
title_full	Quantifying the pattern of retinal vascular orientation in diabetic retinopathy using optical coherence tomography angiography
title_fullStr	Quantifying the pattern of retinal vascular orientation in diabetic retinopathy using optical coherence tomography angiography
title_full_unstemmed	Quantifying the pattern of retinal vascular orientation in diabetic retinopathy using optical coherence tomography angiography
title_sort	quantifying the pattern of retinal vascular orientation in diabetic retinopathy using optical coherence tomography angiography
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/483b5f114e2c44d280a5571d603fad4d
work_keys_str_mv	AT yanhuima quantifyingthepatternofretinalvascularorientationindiabeticretinopathyusingopticalcoherencetomographyangiography AT matthewpohr quantifyingthepatternofretinalvascularorientationindiabeticretinopathyusingopticalcoherencetomographyangiography AT xueliangpan quantifyingthepatternofretinalvascularorientationindiabeticretinopathyusingopticalcoherencetomographyangiography AT cynthiajroberts quantifyingthepatternofretinalvascularorientationindiabeticretinopathyusingopticalcoherencetomographyangiography
_version_	1718389379847684096

Quantifying the pattern of retinal vascular orientation in diabetic retinopathy using optical coherence tomography angiography

Ejemplares similares