Literature DB >> 11222537

Comparison of retinal transit times and retinal blood flow: a study in monkeys.

L Tomic1, O Mäepea, G O Sperber, A Alm.   

Abstract

PURPOSE: To determine the correlation between transit times of retinal blood flow calculated from fluorescein angiograms and retinal blood flow determined by the microsphere method.
METHODS: Two fluorescein angiograms were obtained in each eye of six monkeys, followed by determination of retinal blood flow with labeled microspheres. Angiograms in 10 eyes were analyzed for mean transit time (MTT) and arteriovenous passage time (AVP). MTT was determined in two ways: from dye curves reconstructed by extrapolation of semilogarithmic plots of the recorded curves (MTT(slope)) and by a new technique based on an impulse-response analysis (MTT(ir)).
RESULTS: Mean values (+/-SD) for retinal blood flow in 10 eyes were 23.2 +/- 6.9 mg/min. Corresponding values for MTT(ir), MTT(slope), and AVP were 2.22 +/- 0.38, 4.89 +/- 5.89, and 1.08 +/- 0.14 seconds. There was a weak, but not statistically significant, correlation between retinal blood flow and MTT(ir) (r = -0.60, P = 0.06) but no useful correlation between retinal blood flow and either MTT(slope) or AVP.
CONCLUSIONS: The relationship between retinal blood flow and transit times determined from fluorescein angiograms is weak. Of the three transit parameters tested, MTT(ir), determined with the recently developed impulse-response technique, had the best correlation with retinal blood flow. Further studies are needed to determine the ability of these transit parameters to detect a change in retinal blood flow and the possibility that transit times may provide useful clinical information unrelated to absolute values of retinal blood flow.

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Year:  2001        PMID: 11222537

Source DB:  PubMed          Journal:  Invest Ophthalmol Vis Sci        ISSN: 0146-0404            Impact factor:   4.799


  7 in total

1.  Dynamic contrast optical coherence tomography images transit time and quantifies microvascular plasma volume and flow in the retina and choriocapillaris.

Authors:  Conrad W Merkle; Conor Leahy; Vivek J Srinivasan
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2.  A fluorescein angiography-based computer-aided algorithm for assessing the retinal vasculature in diabetic retinopathy.

Authors:  Amir Abbasnejad; Oren Tomkins-Netzer; Aaron Winter; Alon Friedman; Alan Cruess; Yonatan Serlin; Jaime Levy
Journal:  Eye (Lond)       Date:  2022-05-28       Impact factor: 3.775

3.  Ozagrel attenuates early streptozotocin-induced constriction of arterioles in the mouse retina.

Authors:  William S Wright; Norman R Harris
Journal:  Exp Eye Res       Date:  2008-01-09       Impact factor: 3.467

4.  Measurement of Retinal Blood Flow Using Fluorescently Labeled Red Blood Cells.

Authors:  Tess E Kornfield; Eric A Newman
Journal:  eNeuro       Date:  2015 Mar-Apr

Review 5.  Enhanced Depth Imaging Optical Coherence Tomography: A New Way Measuring Choroidal Thickness in Pregnant Women.

Authors:  Jun Zhang; Huiyun Wang; Qiubo Yu; Qihu Tong; Qinkang Lu
Journal:  J Ophthalmol       Date:  2017-05-25       Impact factor: 1.909

Review 6.  Color Doppler Imaging Analysis of Ocular Blood Flow Velocities in Normal Tension Glaucoma Patients: A Meta-Analysis.

Authors:  Shuo Xu; Shouyue Huang; Zhongjing Lin; Wangmin Liu; Yisheng Zhong
Journal:  J Ophthalmol       Date:  2015-10-29       Impact factor: 1.909

Review 7.  Ocular Blood Flow Autoregulation Mechanisms and Methods.

Authors:  Xue Luo; Yu-Meng Shen; Meng-Nan Jiang; Xiang-Feng Lou; Yin Shen
Journal:  J Ophthalmol       Date:  2015-10-21       Impact factor: 1.909

  7 in total

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