Estimation of Diabetic Retinal Microaneurysm Perfusion Parameters Based on Computational Fluid Dynamics Modeling of Adaptive Optics Scanning Laser Ophthalmoscopy

Diabetic retinopathy (DR) is a leading cause of vision loss worldwide. Microaneurysms (MAs), which are abnormal outpouchings of the retinal vessels, are early and hallmark lesions of DR. The presence and severity of MAs are utilized to determine overall DR severity. In addition, MAs can directly con...

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Main Authors: Miguel O. Bernabeu, Yang Lu, Omar Abu-Qamar, Lloyd P. Aiello, Jennifer K. Sun
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-09-01
Series:Frontiers in Physiology
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fphys.2018.00989/full
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author Miguel O. Bernabeu
Yang Lu
Omar Abu-Qamar
Lloyd P. Aiello
Lloyd P. Aiello
Jennifer K. Sun
Jennifer K. Sun
author_facet Miguel O. Bernabeu
Yang Lu
Omar Abu-Qamar
Lloyd P. Aiello
Lloyd P. Aiello
Jennifer K. Sun
Jennifer K. Sun
author_sort Miguel O. Bernabeu
collection DOAJ
description Diabetic retinopathy (DR) is a leading cause of vision loss worldwide. Microaneurysms (MAs), which are abnormal outpouchings of the retinal vessels, are early and hallmark lesions of DR. The presence and severity of MAs are utilized to determine overall DR severity. In addition, MAs can directly contribute to retinal neural pathology by leaking fluid into the surrounding retina, causing abnormal central retinal thickening and thereby frequently leading to vision loss. Vascular perfusion parameters such as shear rate (SR) or wall shear stress (WSS) have been linked to blood clotting and endothelial cell dysfunction, respectively in non-retinal vasculature. However, despite the importance of MAs as a key aspect of diabetic retinal pathology, much remains unknown as to how structural characteristics of individual MAs are associated with these perfusion attributes. MA structural information obtained on high resolution adaptive optics scanning laser ophthalmoscopy (AOSLO) was utilized to estimate perfusion parameters through Computational Fluid Dynamics (CFD) analysis of the AOSLO images. The HemeLB flow solver was used to simulate steady-state and time-dependent fluid flow using both commodity hospital-based and high performance computing resources, depending on the degree of detail required in the simulations. Our results indicate that WSS is lowest in MA regions furthest away from the feeding vessels. Furthermore, areas of low SR are associated with clot location in saccular MAs. These findings suggest that morphology and CFD estimation of perfusion parameters may be useful tools for determining the likelihood of clot presence in individual diabetic MAs.
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spelling doaj.art-a1f0d9f4989d4931b29d7bf880b9219d2022-12-22T02:52:16ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2018-09-01910.3389/fphys.2018.00989341536Estimation of Diabetic Retinal Microaneurysm Perfusion Parameters Based on Computational Fluid Dynamics Modeling of Adaptive Optics Scanning Laser OphthalmoscopyMiguel O. Bernabeu0Yang Lu1Omar Abu-Qamar2Lloyd P. Aiello3Lloyd P. Aiello4Jennifer K. Sun5Jennifer K. Sun6Centre for Medical Informatics, Usher Institute, The University of Edinburgh, Edinburgh, United KingdomBeetham Eye Institute, Joslin Diabetes Center, Boston, MA, United StatesBeetham Eye Institute, Joslin Diabetes Center, Boston, MA, United StatesBeetham Eye Institute, Joslin Diabetes Center, Boston, MA, United StatesDepartment of Ophthalmology, Harvard Medical School, Boston, MA, United StatesBeetham Eye Institute, Joslin Diabetes Center, Boston, MA, United StatesDepartment of Ophthalmology, Harvard Medical School, Boston, MA, United StatesDiabetic retinopathy (DR) is a leading cause of vision loss worldwide. Microaneurysms (MAs), which are abnormal outpouchings of the retinal vessels, are early and hallmark lesions of DR. The presence and severity of MAs are utilized to determine overall DR severity. In addition, MAs can directly contribute to retinal neural pathology by leaking fluid into the surrounding retina, causing abnormal central retinal thickening and thereby frequently leading to vision loss. Vascular perfusion parameters such as shear rate (SR) or wall shear stress (WSS) have been linked to blood clotting and endothelial cell dysfunction, respectively in non-retinal vasculature. However, despite the importance of MAs as a key aspect of diabetic retinal pathology, much remains unknown as to how structural characteristics of individual MAs are associated with these perfusion attributes. MA structural information obtained on high resolution adaptive optics scanning laser ophthalmoscopy (AOSLO) was utilized to estimate perfusion parameters through Computational Fluid Dynamics (CFD) analysis of the AOSLO images. The HemeLB flow solver was used to simulate steady-state and time-dependent fluid flow using both commodity hospital-based and high performance computing resources, depending on the degree of detail required in the simulations. Our results indicate that WSS is lowest in MA regions furthest away from the feeding vessels. Furthermore, areas of low SR are associated with clot location in saccular MAs. These findings suggest that morphology and CFD estimation of perfusion parameters may be useful tools for determining the likelihood of clot presence in individual diabetic MAs.https://www.frontiersin.org/article/10.3389/fphys.2018.00989/fulldiabetic retinopathymicroaneurysmadaptive opticsblood flowcomputational fluid dynamics
spellingShingle Miguel O. Bernabeu
Yang Lu
Omar Abu-Qamar
Lloyd P. Aiello
Lloyd P. Aiello
Jennifer K. Sun
Jennifer K. Sun
Estimation of Diabetic Retinal Microaneurysm Perfusion Parameters Based on Computational Fluid Dynamics Modeling of Adaptive Optics Scanning Laser Ophthalmoscopy
Frontiers in Physiology
diabetic retinopathy
microaneurysm
adaptive optics
blood flow
computational fluid dynamics
title Estimation of Diabetic Retinal Microaneurysm Perfusion Parameters Based on Computational Fluid Dynamics Modeling of Adaptive Optics Scanning Laser Ophthalmoscopy
title_full Estimation of Diabetic Retinal Microaneurysm Perfusion Parameters Based on Computational Fluid Dynamics Modeling of Adaptive Optics Scanning Laser Ophthalmoscopy
title_fullStr Estimation of Diabetic Retinal Microaneurysm Perfusion Parameters Based on Computational Fluid Dynamics Modeling of Adaptive Optics Scanning Laser Ophthalmoscopy
title_full_unstemmed Estimation of Diabetic Retinal Microaneurysm Perfusion Parameters Based on Computational Fluid Dynamics Modeling of Adaptive Optics Scanning Laser Ophthalmoscopy
title_short Estimation of Diabetic Retinal Microaneurysm Perfusion Parameters Based on Computational Fluid Dynamics Modeling of Adaptive Optics Scanning Laser Ophthalmoscopy
title_sort estimation of diabetic retinal microaneurysm perfusion parameters based on computational fluid dynamics modeling of adaptive optics scanning laser ophthalmoscopy
topic diabetic retinopathy
microaneurysm
adaptive optics
blood flow
computational fluid dynamics
url https://www.frontiersin.org/article/10.3389/fphys.2018.00989/full
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