Analysis of Choroidal Vascularity Index in Keratoconus Patients Using Swept-Source Optical Coherence Tomography-Based Binarization Techniques

Purpose. To analyse the vascular density of the choroid in a keratoconus (KC) population using swept-source optical coherence tomography (SS-OCT). Methods. Prospective, noninterventional study that analysed 97 eyes from 52 KC patients and 145 eyes from 89 healthy controls. The sample was divided in...

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Main Authors: Rosa Gutierrez-Bonet, Jorge Ruiz-Medrano, Marc Biarnés, Mohammed Abdul Rasheed, Kiran Kumar Vupparaboina, Jay Chhablani, José M. Ruiz-Moreno
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Journal of Ophthalmology
Online Access:http://dx.doi.org/10.1155/2020/1682463
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author Rosa Gutierrez-Bonet
Jorge Ruiz-Medrano
Marc Biarnés
Mohammed Abdul Rasheed
Kiran Kumar Vupparaboina
Jay Chhablani
José M. Ruiz-Moreno
author_facet Rosa Gutierrez-Bonet
Jorge Ruiz-Medrano
Marc Biarnés
Mohammed Abdul Rasheed
Kiran Kumar Vupparaboina
Jay Chhablani
José M. Ruiz-Moreno
author_sort Rosa Gutierrez-Bonet
collection DOAJ
description Purpose. To analyse the vascular density of the choroid in a keratoconus (KC) population using swept-source optical coherence tomography (SS-OCT). Methods. Prospective, noninterventional study that analysed 97 eyes from 52 KC patients and 145 eyes from 89 healthy controls. The sample was divided in four different age groups. Inclusion criteria were topographic diagnosis of KC using Pentacam, axial length shorter than 26 mm, good quality of the images, and no other systemic or ocular diseases. A 12 mm horizontal single-line SS-OCT b-scan was performed to create a choroidal thickness (CT) profile. Validated automated segmentation and binarization were used in order to analyse choroidal, stromal, and vascular areas. Results. The percentage of choroidal vascularity (vascular area/total area) was 56.6% in KC patients vs. 49.4% in controls. Aged-adjusted choroidal, stromal, and vascular areas and corrected choroidal percentage of vascularity are statistically increased in KC patients when compared with healthy controls (p<0.001). All these parameters show a decreasing trend with age. Both stromal and vascular areas were thicker in KC patients (p<0.001). Conclusions. Choroidal, stromal, and vascular areas and corrected choroidal percentage of vascularity are statistically increased in KC patients when compared with healthy controls. All these parameters tend to decrease with age.
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issn 2090-004X
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spelling doaj-art-04e154a8c69546549384c2b30952dd792025-02-03T06:45:46ZengWileyJournal of Ophthalmology2090-004X2090-00582020-01-01202010.1155/2020/16824631682463Analysis of Choroidal Vascularity Index in Keratoconus Patients Using Swept-Source Optical Coherence Tomography-Based Binarization TechniquesRosa Gutierrez-Bonet0Jorge Ruiz-Medrano1Marc Biarnés2Mohammed Abdul Rasheed3Kiran Kumar Vupparaboina4Jay Chhablani5José M. Ruiz-Moreno6Jules Gonin Eye Hospital Fondation Asile des Aveugles, Lausanne, SwitzerlandJules Gonin Eye Hospital Fondation Asile des Aveugles, Lausanne, SwitzerlandInstitut de la Màcula, Barcelona, SpainLV Prasad Eye Institute, Kallam Anji Reddy Campus, Hyderabad, IndiaLV Prasad Eye Institute, Kallam Anji Reddy Campus, Hyderabad, IndiaDepartment of Ophthalmology, University of Pittsburgh Medical Center, Pittsburgh, PA, USAPuerta de Hierro-Majadahonda University Hospital, Madrid, SpainPurpose. To analyse the vascular density of the choroid in a keratoconus (KC) population using swept-source optical coherence tomography (SS-OCT). Methods. Prospective, noninterventional study that analysed 97 eyes from 52 KC patients and 145 eyes from 89 healthy controls. The sample was divided in four different age groups. Inclusion criteria were topographic diagnosis of KC using Pentacam, axial length shorter than 26 mm, good quality of the images, and no other systemic or ocular diseases. A 12 mm horizontal single-line SS-OCT b-scan was performed to create a choroidal thickness (CT) profile. Validated automated segmentation and binarization were used in order to analyse choroidal, stromal, and vascular areas. Results. The percentage of choroidal vascularity (vascular area/total area) was 56.6% in KC patients vs. 49.4% in controls. Aged-adjusted choroidal, stromal, and vascular areas and corrected choroidal percentage of vascularity are statistically increased in KC patients when compared with healthy controls (p<0.001). All these parameters show a decreasing trend with age. Both stromal and vascular areas were thicker in KC patients (p<0.001). Conclusions. Choroidal, stromal, and vascular areas and corrected choroidal percentage of vascularity are statistically increased in KC patients when compared with healthy controls. All these parameters tend to decrease with age.http://dx.doi.org/10.1155/2020/1682463
spellingShingle Rosa Gutierrez-Bonet
Jorge Ruiz-Medrano
Marc Biarnés
Mohammed Abdul Rasheed
Kiran Kumar Vupparaboina
Jay Chhablani
José M. Ruiz-Moreno
Analysis of Choroidal Vascularity Index in Keratoconus Patients Using Swept-Source Optical Coherence Tomography-Based Binarization Techniques
Journal of Ophthalmology
title Analysis of Choroidal Vascularity Index in Keratoconus Patients Using Swept-Source Optical Coherence Tomography-Based Binarization Techniques
title_full Analysis of Choroidal Vascularity Index in Keratoconus Patients Using Swept-Source Optical Coherence Tomography-Based Binarization Techniques
title_fullStr Analysis of Choroidal Vascularity Index in Keratoconus Patients Using Swept-Source Optical Coherence Tomography-Based Binarization Techniques
title_full_unstemmed Analysis of Choroidal Vascularity Index in Keratoconus Patients Using Swept-Source Optical Coherence Tomography-Based Binarization Techniques
title_short Analysis of Choroidal Vascularity Index in Keratoconus Patients Using Swept-Source Optical Coherence Tomography-Based Binarization Techniques
title_sort analysis of choroidal vascularity index in keratoconus patients using swept source optical coherence tomography based binarization techniques
url http://dx.doi.org/10.1155/2020/1682463
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