Literature DB >> 34673279

Dynamic Alterations in Blood Flow in Glaucoma Measured with Laser Speckle Contrast Imaging.

Alfred Vinnett1, Jayanth Kandukuri2, Christopher Le1, Kyoung-A Cho2, Avigyan Sinha2, Samuel Asanad1, Ginger Thompson3, Victoria Chen1, Abhishek Rege2, Osamah J Saeedi4.   

Abstract

PURPOSE: To assess the repeatability of blood flow velocity index (BFVi) metrics obtained with a recently Food and Drug Administration-cleared laser speckle contrast imaging device, the XyCAM RI (Vasoptic Medical, Inc), and to characterize differences in these metrics among control, glaucoma suspect, and glaucoma participants.
DESIGN: Prospective, observational study. PARTICIPANTS: Forty-six participants: 20 control, 16 glaucoma suspect, and 10 glaucoma participants, 1 eye per participant.
METHODS: Key dynamic BFVi metrics-mean, peak, dip, volumetric rise index (VRI), volumetric fall index (VFI), time to rise (TtR), time to fall (TtF), blow-out time (BOT), skew, and acceleration time index-were measured in the optic disc, optic disc vessels, optic disc perfusion region, and macula in 4 imaging sessions on the same day. Intrasession and intersession variability were calculated using the coefficient of variation (CV) for each metric in each region of interest (ROI). Values for each dynamic BFVi variable were compared between glaucoma, glaucoma suspect, and control participants using bivariate and multivariate analysis. Pearson correlation coefficients were used to correlate each variable in each ROI with age, intraocular pressure, cup-to-disc ratio (CDR), mean deviation, pattern standard deviation, retinal nerve fiber layer thickness, and minimum rim width. MAIN OUTCOME MEASURES: Coefficient of variation for the intrasession and intersession variability for each dynamic BFVi metric in each ROI and differences in each metric in each ROI between each diagnostic group.
RESULTS: Intersession CV for mean, peak, dip, VRI, VFI, TtR, and TtF ranged from 3.2 ± 2.5% to 11.0 ± 3.8%. Age, CDR, OCT metrics, and visual field metrics showed significant correlations with dynamic BFVi variables. Peak, mean, dip, VRI, and VFI were significantly lower in patients with glaucoma than in control participants in all ROIs except the fovea. These metrics also were significantly lower in glaucoma patients than glaucoma suspect patients in the disc vessels.
CONCLUSIONS: Dynamic blood flow metrics measured with the XyCAM RI are reliable, are associated with structural and functional glaucoma metrics, and are significantly different among glaucoma, glaucoma suspect, and control participants. The XyCAM RI may serve as an important tool in glaucoma management in the future.
Copyright © 2021 American Academy of Ophthalmology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Glaucoma; Laser speckle contrast imaging; Macula; Ocular blood flow; Optic nerve head

Mesh:

Year:  2021        PMID: 34673279      PMCID: PMC9013729          DOI: 10.1016/j.ogla.2021.10.005

Source DB:  PubMed          Journal:  Ophthalmol Glaucoma        ISSN: 2589-4196


  39 in total

1.  Variability and repeatability of retinal blood flow measurements using the Canon Laser Blood Flowmeter.

Authors:  Kit Guan; Chris Hudson; John G Flanagan
Journal:  Microvasc Res       Date:  2003-05       Impact factor: 3.514

2.  Prevalence of open-angle glaucoma among adults in the United States.

Authors:  David S Friedman; Roger C W Wolfs; Benita J O'Colmain; Barbara E Klein; Hugh R Taylor; Shelia West; M Cristina Leske; Paul Mitchell; Nathan Congdon; John Kempen
Journal:  Arch Ophthalmol       Date:  2004-04

Review 3.  Assessment of flow dynamics in retinal and choroidal microcirculation.

Authors:  Xin Wei; Praveen Kumar Balne; Kenith E Meissner; Veluchamy A Barathi; Leopold Schmetterer; Rupesh Agrawal
Journal:  Surv Ophthalmol       Date:  2018-03-22       Impact factor: 6.048

4.  Segmental reproducibility of retinal blood flow velocity measurements using retinal function imager.

Authors:  Jay Chhablani; Dirk-Uwe Bartsch; Lingyun Cheng; Laura Gomez; Rayan A Alshareef; Sami S Rezeq; Sunir J Garg; Zvia Burgansky-Eliash; William R Freeman
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2013-05-23       Impact factor: 3.117

5.  Retinal blood flow response to posture change in glaucoma patients compared with healthy subjects.

Authors:  Gilbert T Feke; Louis R Pasquale
Journal:  Ophthalmology       Date:  2007-08-08       Impact factor: 12.079

6.  Reproducibility of retinal circulation measurements obtained using laser speckle flowgraphy-NAVI in patients with glaucoma.

Authors:  Naoko Aizawa; Yu Yokoyama; Naoki Chiba; Kazuko Omodaka; Masayuki Yasuda; Takaaki Otomo; Masahiko Nakamura; Nobuo Fuse; Toru Nakazawa
Journal:  Clin Ophthalmol       Date:  2011-08-19

7.  Laser speckle flowgraphy derived characteristics of optic nerve head perfusion in normal tension glaucoma and healthy individuals: a Pilot study.

Authors:  Anna Sophie Mursch-Edlmayr; Nikolaus Luft; Dominika Podkowinski; Michael Ring; Leopold Schmetterer; Matthias Bolz
Journal:  Sci Rep       Date:  2018-03-28       Impact factor: 4.379

8.  Increased Short-Term Fluctuation in Optic Nerve Head Blood Flow in a Case of Normal-Tension Glaucoma by the Use of Laser Speckle Flowgraphy.

Authors:  Tetsuya Sugiyama; Hajime Nakamura
Journal:  Vision (Basel)       Date:  2016-09-08

9.  Characterization of laser speckle flowgraphy pulse waveform parameters for the evaluation of the optic nerve head and retinal circulation.

Authors:  Nobuko Enomoto; Ayako Anraku; Goji Tomita; Aiko Iwase; Takashi Sato; Nobuyuki Shoji; Tomoaki Shiba; Toru Nakazawa; Kazuhisa Sugiyama; Koji Nitta; Makoto Araie
Journal:  Sci Rep       Date:  2021-03-25       Impact factor: 4.379

10.  Portable, non-invasive video imaging of retinal blood flow dynamics.

Authors:  Kyoung-A Cho; Abhishek Rege; Yici Jing; Akash Chaurasia; Amit Guruprasad; Edmund Arthur; Delia Cabrera DeBuc
Journal:  Sci Rep       Date:  2020-11-19       Impact factor: 4.996

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.