208
Views
6
CrossRef citations to date
0
Altmetric
Device Profile

Use of XyCAM RI for Noninvasive Visualization and Analysis of Retinal Blood Flow Dynamics During Clinical Investigations

, &
Pages 225-237 | Received 25 Nov 2020, Accepted 16 Feb 2021, Published online: 18 Mar 2021

References

  • Weinreb RN, Aung T, Medeiros FA. The pathophysiology and treatment of glaucoma: a review. JAMA. 2014;311(18):1901.
  • Fan N, Wang P, Tang L, et al. Ocular Blood Flow and Normal Tension Glaucoma. Biomed Res Int. 2015;2015(308505–308505). DOI:10.1155/2015/308505
  • Schuman JS. Measuring Blood Flow: so What? JAMA Ophthalmol. 2015;133:1052–1053.
  • Shiga Y, Omodaka K, Kunikata H, et al. Waveform Analysis of Ocular Blood Flow and the Early Detection of Normal Tension Glaucoma. Invest Ophthalmol Vis Sci. 2013;54(7699–7706). DOI:10.1167/iovs.13-12930
  • Jia Y, Bailey ST, Wilson DJ, et al. Quantitative Optical Coherence Tomography Angiography of Choroidal Neovascularization in Age-Related Macular Degeneration. Ophthalmology. 2014;121(7):1435-1444. DOI:10.1016/j.ophtha.2014.01.034.
  • Mori K, Gehlbach PL, Ito YN, et al. Decreased arterial dye-filling and venous dilation in the macular choroid associated with age-related macular degeneration. Retina. 2005;25:430–437.
  • Pemp B, Schmetterer L. Ocular blood flow in diabetes and age-related macular degeneration. Canadian Jophthalmol. 2008;43(295–301). DOI:10.3129/i08-049
  • Harris A, Ciulla TA, Chung HS, et al. Regulation of Retinal and Optic Nerve Blood Flow. Arch Ophtalmol. 1998;116(1491–1495). DOI:10.1001/archopht.116.11.1491
  • Frost S, Kanagasingam Y, Sohrabi H, et al. Retinal vascular biomarkers for early detection and monitoring of Alzheimer’s disease. Transl Psychiatry. 2013;3(e233). DOI:10.1038/tp.2012.150
  • Cheung CY-L, Ong YT, Ikram MK, et al. Microvascular network alterations in the retina of patients with Alzheimer’s disease. Alzheimer’s & Dementia. 2014;10(2):135–142.
  • Wong WL, Su X, Li X, et al. Global prevalence of age-related macular degeneration and disease burden projection for 2020 and 2040: a systematic review and meta-analysis. The Lancet Global Health. 2014;2(2):e106-e116.
  • Tham Y-C, Li X, Wong TY, et al. Global Prevalence of Glaucoma and Projections of Glaucoma Burden through 2040: a Systematic Review and Meta-Analysis. Ophthalmology. 2014;121(11):2081–2090.
  • Gupta P, Zhao D, Guallar E, et al. Prevalence of Glaucoma in the United States: the 2005–2008 National Health and Nutrition Examination Survey. Invest Ophthalmol Vis Sci. 2016;57:2905–2913-2905–2913.
  • Varma R, Lee PP, Goldberg I, et al. An assessment of the health and economic burdens of glaucoma. Am J Ophthalmol. 2011;152(4):515–522.
  • Killer HE, Pircher A. Normal tension glaucoma: review of current understanding and mechanisms of the pathogenesis. Eye. 2018;32(5):924–930.
  • Flammer J. The vascular concept of glaucoma. Surv Ophthalmol. 1994;38:S3–S6.
  • Hood DC, De Moraes CG. Challenges to the Common Clinical Paradigm for Diagnosis of Glaucomatous Damage With OCT and Visual Fields. Invest Ophthalmol Vis Sci. 2018;59(788–791). DOI:10.1167/iovs.17-23713
  • Wang DL, Raza AS, De Moraes CG, et al. Central Glaucomatous Damage of the Macula Can Be Overlooked by Conventional OCT Retinal Nerve Fiber Layer Thickness Analyses. Transl Vis Sci Technol. 2015;4(6):4.
  • Schwartz R, Loewenstein A. Early detection of age related macular degeneration: current status. Int J Retina Vitreous. 2015;1(1). DOI:10.1186/s40942-015-0022-7
  • London A, Benhar I, Schwartz M. The retina as a window to the brain—from eye research to CNS disorders. Nat Rev Neurol. 2013;9(1):44–53.
  • Zafar S, McCormick J, Giancardo L, et al. Retinal Imaging for Neurological Diseases: “A Window into the Brain”.. Int Ophthalmol Clin. 2019;59:137–154.
  • Cabrera Debuc D, Somfai GM, Koller A. Retinal microvascular network alterations: potential biomarkers of cerebrovascular and neural diseases. Am J Physiol Heart Circ Physiol. 2017;312:H201–H212.
  • Berisha F, Feke GT, Trempe CL, et al. Retinal abnormalities in early Alzheimer’s disease. Invest Ophthalmol Vis Sci. 2007;48(2285–2289). DOI:10.1167/iovs.06-1029
  • Koronyo Y, Salumbides BC, Black KL, et al. Disease in the Retina: imaging Retinal Aβ Plaques for Early Diagnosis and Therapy Assessment. Neurodegen Dis. 2012;10(285–293). DOI:10.1159/000335154
  • Feke GT, Hyman BT, Stern RA, et al. Retinal blood flow in mild cognitive impairment and Alzheimer’s disease. Alzheimers Dement. 2015;1(144–151). DOI:10.1016/j.dadm.2015.01.004
  • Snyder PJ, Alber J, Alt C, et al. Retinal imaging in Alzheimer’s and neurodegenerative diseases. Alzheimer’s Dementia. 2020. DOI:10.1002/alz.12179.
  • Alber J, Goldfarb D, Thompson LI, et al. Developing retinal biomarkers for the earliest stages of Alzheimer’s disease: what we know, what we don’t, and how to move forward. Alzheimer’s Dementia. 2020;16(229–243). DOI:10.1002/alz.12006
  • Maram J, Srinivas S, Sadda SR. Evaluating ocular blood flow. Indian J Ophthalmol. 2017;65(337–346). DOI:10.4103/ijo.IJO_330_17
  • Stern MD. Laser Doppler velocimetry in blood and multiply scattering fluids: theory. Appl Opt. 1985;24(1968). DOI:10.1364/ao.24.001968
  • Grinvald A, Bonhoeffer T, Vanzetta I, et al. High-resolution functional optical imaging: from the neocortex to the eye. Ophthalmol Clin North Am. 2004;17:53–67. doi:10.1016/j.ohc.2003.12.003
  • Sugiyama T, Araie M, Riva CE, et al. Use of laser speckle flowgraphy in ocular blood flow research. Acta Ophthalmol. 2010;88(723–729). DOI:10.1111/j.1755-3768.2009.01586.x
  • Spaide RF, Klancnik JM Jr., Cooney MJ. Retinal vascular layers imaged by fluorescein angiography and optical coherence tomography angiography. JAMA Ophthalmol. 2015;133:45–50. .
  • Briers JD, Fercher AF. Retinal blood-flow visualization by means of laser speckle photography. Invest Ophthalmol Vis Sci. 1982;22:255–259.
  • Fercher AF, Briers JD. Flow visualization by means of single-exposure speckle photography. Opt Commun. 1981;37:326–330.
  • Cheng H, Luo Q, Zeng S, et al. Modified laser speckle imaging method with improved spatial resolution. J Biomed Opt. 2003;8:559–564.
  • Murari K, Li N, Rege A, et al. Contrast-enhanced imaging of cerebral vasculature with laser speckle. App Opt. 2007;46:5340–5346.
  • Rege A, Senarathna J, Li N, et al. Anisotropic processing of laser speckle images improves spatiotemporal resolution. IEEE Trans Biomed Eng. 2012;59:1272–1280.
  • Duncan DD, Kirkpatrick SJ. Proc SPIE 6858: optics in Tissue Engineering and Regenerative Medicine II. p. 685802.
  • Bandyopadhyay R, Gittings A, Suh S, et al. Speckle-visibility spectroscopy: a tool to study time-varying dynamics. Rev Sci Instrum. 2005;76:0931101–0931111.
  • Duncan DD, Kirkpatrick SJ. Can laser speckle flowmetry be made a quantitative tool? Journal of the Optical Society of America. 2008;25:2088–2094.
  • Le TM, Paul JS, Ong SH. Laser Speckle Imaging for Blood Flow Analysis. In: Pham T, editors. Computational Biology. Applied Bioinformatics and Biostatistics in Cancer Research. Springer, New York, NY. 2009. https://doi.org/10.1007/978-1-4419-0811-7_11
  • Ramirez-San-Juan JC, Ramos-García R, Guizar-Iturbide I, et al. Impact of velocity distribution assumption on simplified laser speckle imaging equation. Opt Express. 2008;16:3197–3203.
  • Parthasarathy AB, Tom WJ, Gopal A, et al. Robust flow measurement with multi-exposure speckle imaging. Opt Exp. 2008;16:1975–1989.
  • Rege A, Murari K, Seifert A, et al. Multi exposure laser speckle contrast imaging of the angiogenic microenvironment. J Biomed Opt. 2011;16:05600601–05600610.
  • Cho K-A, Rege A, Jing Y, et al. Portable, non-invasive video imaging of retinal blood flow dynamics. Sci Rep. 2020;10(20236). DOI:10.1038/s41598-020-76407-5.
  • Kunikata H, Nakazawa T. Recent Clinical Applications of Laser Speckle Flowgraphy in Eyes with Retinal Disease. Asia Pac J Ophthalmol (Phila). 2016;5(151–158). DOI:10.1097/apo.0000000000000160
  • Rege A, Murari K, Li N, et al. in Proc 32nd Ann Intl Conf Engr Med Biol Soc (EMBC). 1978–1981.
  • Vinnett A, Asanad S, Cho K-A, et al. OCT Angiography vs Laser Speckle Contrast Imaging: correlation between Static and Dynamic Measurements of Peripapillary Blood Flow in Glaucoma, Glaucoma Suspect, and Healthy Eyes. Invest Ophthalmol Vis Sci. 2020;61:617. [cited 2021 Mar 15]. Available from: https://iovs.arvojournals.org/article.aspx?articleid=2770120
  • Rege A, Liu Y, Jing Y, et al. Non-invasive, non-mydriatic imaging of retinal blood flow over multiple fields of view. Invest Ophthalmol Vis Sci. 2018;59:5878.
  • Kalarn S, Cho K-A, Vinnett, A, et al. Repeatability and Reproducibility of the XyCAM RI Across Multiple Operators. Invest Ophthalmol Vis Sci. 2020;61:5321.
  • Rege A, Cunningham SI, Liu Y, et al. Noninvasive Assessment of Retinal Blood Flow Using a Novel Handheld Laser Speckle Contrast Imager. Transl Vis Sci Technol. 2018;7(7–7). DOI:10.1167/tvst.7.6.7
  • Kalarn S, Cho K-A, Thompson G, et al. Non-Invasive Blood-Flow Measurement in the Glaucomatous Optic Nerve Head using the XyCAM RI Retinal Imaging System. Invest Ophthalmol Vis Sci. 2019;60:5616.
  • Cho K-A Wu Y, Lee W-H, et al. Assessment of Blood Flow Information in Diabetic Eyes using the XyCAM RI. Invest Ophthalmol Vis Sci. 2020;61:1736.
  • Cabrera Debuc D, Cho K-A, Wu Y, et al. Volumetric Blood Flow Changes in the Retina During Mild Cognitive Impairment: early Results. Invest Ophthalmol Vis Sci. 2020;61:1853.
  • Guan K, Hudson C, Flanagan JG. Variability and repeatability of retinal blood flow measurements using the Canon laser blood flowmeter. Microvasc Res. 2003;65:145–151.
  • Chhablani J, Bartsch DU, Cheng L, et al. Segmental reproducibility of retinal blood flow velocity measurements using retinal function imager. Graefe’s Arch Clin Exp Ophthalmol. 2013;251(2665–2670). DOI:10.1007/s00417-013-2360-1
  • Aizawa N, Yokoyama Y, Chiba N,et al. Reproducibility of retinal circulation measurements obtained using laser speckle flowgraphy-NAVI in patients with glaucoma. Clin Ophthalmol. 2011;5:1171–1176. doi:10.2147/OPTH.S22093
  • Shiga Y, Kunikata H, Aizawa N, et al. Optic Nerve Head Blood Flow, as Measured by Laser Speckle Flowgraphy, Is Significantly Reduced in Preperimetric Glaucoma. Curr Eye Res. 2016;41(1447–1453). DOI:10.3109/02713683.2015.1127974
  • Maeda K, Ishikawa F, Ohguro H. Ocular blood flow levels and visual prognosis in a patient with nonischemic type central retinal vein occlusion. Clin Ophthalmol. 2009;3:489–491.
  • Matsumoto M, Suzuma K, Fukazawa Y, et al. Retinal blood flow levels measured by Laser Speckle Flowgraphy in central retinal vein occlusion as a predictive factor for ischemia and visual loss. Invest Ophthalmol Vis Sci. 2013;54:5126.
  • Nitta F, Kunikata H, Aizawa N, et al. The effect of intravitreal bevacizumab on ocular blood flow in diabetic retinopathy and branch retinal vein occlusion as measured by laser speckle flowgraphy. Clin Ophthalmol. 2014;8(1119–1127). DOI:10.2147/OPTH.S62022

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.