Literature DB >> 29958821

Wide-field Choroidal Vascularity in Healthy Eyes.

Sumit Randhir Singh1, Alessandro Invernizzi2, Mohammed Abdul Rasheed1, Carlo Cagini3, Abhilash Goud1, Kiran Kumar Vupparaboina1, Mariano Cozzi2, Marco Lupidi3, Jay Chhablani4.   

Abstract

PURPOSE: To report variation of choroidal vascularity index (CVI) in macular and mid-equator areas in healthy subjects using wide-field optical coherence tomography (WF-OCT).
DESIGN: Prospective, cross-sectional study.
METHODS: Setting: Two-center study. STUDY POPULATION: Twenty eyes of 20 healthy subjects. OBSERVATION PROCEDURE: Single high-definition scans passing through the fovea in both vertical and horizontal meridians were studied. Images were taken in primary gaze and extremes of gaze and a manual montage was created. A previously reported semi-automated algorithm was used to calculate the CVI in macular, superior, inferior, temporal, and nasal quadrants. MAIN OUTCOME MEASURES: Difference in CVI in macular area and 4 quadrants.
RESULTS: Twenty eyes from 20 subjects were enrolled in the study. The mean age was 28.85 ± 6.29 years with men comprising 9 of the 20 subjects (45.0%). The refractive error (spherical equivalent) ranged from -3.00 to +0.75 diopters. The average CVI in the macular area (40.01 ± 7.67) was significantly smaller than in any of the other fundus areas (all P < .01). The maximum CVI was seen in the nasal quadrant (50.84 ± 5.64), followed by inferior (47.93 ± 9.31), temporal (46.14 ± 7.06), and superior (45.72 ± 7.69). The nasal quadrant was found to have the least coefficient of variation (CV) of CVI (0.11) while the inferior and macular area had the highest CV (0.19).
CONCLUSIONS: We report CVI in WF-OCT in healthy young individuals. CVI seems to have a wide topographic variation. The macular area had the least CVI. CVI values are more consistent with lesser CV in the nasal quadrant compared to the other quadrants and macular area.
Copyright © 2018 Elsevier Inc. All rights reserved.

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Year:  2018        PMID: 29958821     DOI: 10.1016/j.ajo.2018.06.016

Source DB:  PubMed          Journal:  Am J Ophthalmol        ISSN: 0002-9394            Impact factor:   5.258


  12 in total

1.  Age-Related Changes in Choroidal Thickness and the Volume of Vessels and Stroma Using Swept-Source OCT and Fully Automated Algorithms.

Authors:  Hao Zhou; Yining Dai; Yingying Shi; Jonathan F Russell; Cancan Lyu; Jila Noorikolouri; William J Feuer; Zhongdi Chu; Qinqin Zhang; Luis de Sisternes; Mary K Durbin; Giovanni Gregori; Philip J Rosenfeld; Ruikang K Wang
Journal:  Ophthalmol Retina       Date:  2019-10-01

2.  Three-dimensional choroidal vascularity index in acute central serous chorioretinopathy using swept-source optical coherence tomography.

Authors:  Jingyuan Yang; Erqian Wang; Mingzhen Yuan; Youxin Chen
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2019-11-14       Impact factor: 3.117

3.  Normal aging changes in the choroidal angioarchitecture of the macula.

Authors:  Lisa Nivison-Smith; Neha Khandelwal; Janelle Tong; Sarakashi Mahajan; Michael Kalloniatis; Rupesh Agrawal
Journal:  Sci Rep       Date:  2020-07-02       Impact factor: 4.379

4.  Wide-field choroidal thickness profile in healthy eyes.

Authors:  Mohammed Abdul Rasheed; Sumit Randhir Singh; Alessandro Invernizzi; Carlo Cagini; Abhilash Goud; Niroj Kumar Sahoo; Mariano Cozzi; Marco Lupidi; Jay Chhablani
Journal:  Sci Rep       Date:  2018-11-21       Impact factor: 4.379

5.  Choroidal Biomarkers: A Repeatability and Topographical Comparison of Choroidal Thickness and Choroidal Vascularity Index in Healthy Eyes.

Authors:  Katharina Breher; Louise Terry; Thomas Bower; Siegfried Wahl
Journal:  Transl Vis Sci Technol       Date:  2020-10-08       Impact factor: 3.283

6.  Automated Analysis of Choroidal Sublayer Morphologic Features in Myopic Children Using EDI-OCT by Deep Learning.

Authors:  Junmeng Li; Lei Zhu; Ruilin Zhu; Yanye Lu; Xin Rong; Yadi Zhang; Xiaopeng Gu; Yuwei Wang; Zhiyue Zhang; Qiushi Ren; Bei Rong; Liu Yang
Journal:  Transl Vis Sci Technol       Date:  2021-11-01       Impact factor: 3.283

7.  Choroidal vascularity index of patients with coronary artery disease.

Authors:  Won-Woo Seo; Hyo Soon Yoo; Yong Dae Kim; Sung Pyo Park; Yong-Kyu Kim
Journal:  Sci Rep       Date:  2022-02-22       Impact factor: 4.379

8.  Three-dimensional modelling of the choroidal angioarchitecture in a multi-ethnic Asian population.

Authors:  Kai Xiong Cheong; Kelvin Yi Chong Teo; Yih Chung Tham; Ralene Sim; Shivani Majithia; Jia Min Lee; Anna Cheng Sim Tan; Ching-Yu Cheng; Chui Ming Gemmy Cheung; Rupesh Agrawal
Journal:  Sci Rep       Date:  2022-03-09       Impact factor: 4.379

9.  Diurnal variation in subfoveal and peripapillary choroidal vascularity index in healthy eyes.

Authors:  Sumit Randhir Singh; Mohammed Abdul Rasheed; Abhilash Goud; Niroj Kumar Sahoo; Kiran Kumar Vupparaboina; Jay Chhablani
Journal:  Indian J Ophthalmol       Date:  2019-10       Impact factor: 1.848

Review 10.  Choroidal Vascularity Index: An In-Depth Analysis of This Novel Optical Coherence Tomography Parameter.

Authors:  Claudio Iovino; Marco Pellegrini; Federico Bernabei; Enrico Borrelli; Riccardo Sacconi; Andrea Govetto; Aldo Vagge; Antonio Di Zazzo; Matteo Forlini; Lucia Finocchio; Adriano Carnevali; Giacinto Triolo; Giuseppe Giannaccare
Journal:  J Clin Med       Date:  2020-02-21       Impact factor: 4.241

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