Literature DB >> 24147793

Retinal blood flow velocity in patients with age-related macular degeneration.

Zvia Burgansky-Eliash1, Hila Barash, Darin Nelson, Amiram Grinvald, Alina Sorkin, Anat Loewenstein, Adiel Barak.   

Abstract

PURPOSE/AIM OF THE STUDY: To study changes in retinal blood flow velocity in patients with early and neovascular age-related macular degeneration (AMD). We used the Retinal Function Imager (RFI, Optical Imaging Ltd., Rehovot, Israel), a noninvasive diagnostic approach for measuring blood flow velocity.
MATERIALS AND METHODS: Sixty eyes of 43 AMD patients and 53 eyes of 35 healthy individuals over the age of 50 were recruited for this study. All patients were scanned by the RFI with analysis of blood flow velocity of secondary and tertiary branches of arteries and veins. Differences among groups were assessed by mixed linear models.
RESULTS: The average velocity in AMD patients was significantly lower compared to controls in arteries (3.6 ± 1.4 versus 4.3 ± 1.0 mm/sec, p = 0.009) but not in veins (2.6 ± 0.9 versus 3.1 ± 0.6 mm/sec, p = 0.08). When comparing the velocity between low- and high-grade AMD eyes, venous velocity was slower in the high grade AMD eyes only in the "narrow" group of vessels.
CONCLUSIONS: Decreased blood flow velocity in retinal arteries in patients with AMD was found. Despite the fact that AMD is essentially a choroidal disease, retinal vessels show a functional abnormality, which may suggest that the vascular abnormality in this disease is more generalized.

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Year:  2013        PMID: 24147793     DOI: 10.3109/02713683.2013.840384

Source DB:  PubMed          Journal:  Curr Eye Res        ISSN: 0271-3683            Impact factor:   2.424


  22 in total

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Authors:  Salman Sarwar; Mohammad Ali Sadiq; Mostafa Hanout; Quan Dong Nguyen
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Journal:  Eye (Lond)       Date:  2015-02-27       Impact factor: 3.775

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Journal:  Biomed Opt Express       Date:  2020-10-27       Impact factor: 3.732

4.  Noninvasive in vivo characterization of erythrocyte motion in human retinal capillaries using high-speed adaptive optics near-confocal imaging.

Authors:  Boyu Gu; Xiaolin Wang; Michael D Twa; Johnny Tam; Christopher A Girkin; Yuhua Zhang
Journal:  Biomed Opt Express       Date:  2018-07-12       Impact factor: 3.732

5.  Assessment of potential vessel segmentation pitfalls in the analysis of blood flow velocity using the Retinal Function Imager.

Authors:  Gábor Márk Somfai; Jing Tian; Delia Cabrera DeBuc
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2015-09-15       Impact factor: 3.117

6.  Retinal Microvascular Network and Microcirculation Assessments in High Myopia.

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7.  In Vivo Visualization of Eye Vasculature Using Super-Resolution Ultrasound Microvessel Imaging.

Authors:  Xuejun Qian; Haochen Kang; Runze Li; Gengxi Lu; Zhaodong Du; K Kirk Shung; Mark S Humayun; Qifa Zhou
Journal:  IEEE Trans Biomed Eng       Date:  2020-02-10       Impact factor: 4.538

8.  VEGF Receptor-2-Linked PI3K/Calpain/SIRT1 Activation Mediates Retinal Arteriolar Dilations to VEGF and Shear Stress.

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9.  Interactive retinal blood flow analysis of the macular region.

Authors:  Jing Tian; Gábor Márk Somfai; Thalmon R Campagnoli; William E Smiddy; Delia Cabrera Debuc
Journal:  Microvasc Res       Date:  2015-11-11       Impact factor: 3.514

10.  Physics-based modeling of Age-related Macular Degeneration-A theoretical approach to quantify retinal and choroidal contributions to macular oxygenation.

Authors:  Alice C Verticchio Vercellin; Alon Harris; Greta Chiaravalli; Riccardo Sacco; Brent Siesky; Thomas Ciulla; Giovanna Guidoboni
Journal:  Math Biosci       Date:  2021-06-29       Impact factor: 3.935

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