Literature DB >> 811413

In vivo determination of cerebral blood volume with radioactive oxygen-15 in the monkey.

J O Eichling, M E Raichle, R L Grubb, K B Larson, M M Ter-Pogossian.   

Abstract

A method for the in vivo determination of cerebral blood volume was tested in 15 adult rhesus monkeys. The technique utilized external residue detection and required the serial measurement of two mean transit times, namely, that of an intravascular tracer, C15O-hemoglobin, and that of a diffusible tracer, H215O. In computing the mean transit time for the intravascular tracer, the conventional Hamilton extrapolation of the downslope of the recording obtained for the washout of the tracer from the brain subsequent to an intracarotid bolus injection was found to be inadequate, yielding a mean transit time that systematically underestimated that parameter. Alternatively, the use of a power law extrapolation, as proposed by Huang, allowed a more accurate prediction of the vascular mean transit time. The preliminary studies testing the method predicted that the relationship between cerebral blood volume (CBV) and cerebral blood flow (CBF) was adequately represented by the equation CBV = 0.80CBF0.38, with a correlation coefficient of r = 0.90 for the cerebral blood flow range of 16 to 134 ml/100 g min-1 with a normocapnic cerebral blood volume of 3.5 ml/100 g perfused brain tissue (arterial Pco2 = 37 torr, CBF = 50 ml/100 g min-1).

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Year:  1975        PMID: 811413     DOI: 10.1161/01.res.37.6.707

Source DB:  PubMed          Journal:  Circ Res        ISSN: 0009-7330            Impact factor:   17.367


  18 in total

1.  Quantitative measurements of cerebral metabolic rate of oxygen utilization using MRI: a volunteer study.

Authors:  H An; W Lin; A Celik; Y Z Lee
Journal:  NMR Biomed       Date:  2001 Nov-Dec       Impact factor: 4.044

2.  Quantitative measurements of cerebral blood oxygen saturation using magnetic resonance imaging.

Authors:  H An; W Lin
Journal:  J Cereb Blood Flow Metab       Date:  2000-08       Impact factor: 6.200

3.  Exploring new frontiers in molecular imaging: Emergence of Ga PET/CT.

Authors:  Eik Hock Tan; Soon Whatt Goh
Journal:  World J Radiol       Date:  2010-02-28

4.  Quantitative BOLD: mapping of human cerebral deoxygenated blood volume and oxygen extraction fraction: default state.

Authors:  Xiang He; Dmitriy A Yablonskiy
Journal:  Magn Reson Med       Date:  2007-01       Impact factor: 4.668

5.  QUantitative Imaging of eXtraction of oxygen and TIssue consumption (QUIXOTIC) using venular-targeted velocity-selective spin labeling.

Authors:  D S Bolar; B R Rosen; A G Sorensen; E Adalsteinsson
Journal:  Magn Reson Med       Date:  2011-06-14       Impact factor: 4.668

6.  In vivo measurements of regional cerebral blood flow and blood volume in patients with brain tumours using positron emission tomography.

Authors:  A A Lammertsma; R J Wise; T Jones
Journal:  Acta Neurochir (Wien)       Date:  1983       Impact factor: 2.216

7.  MR vascular fingerprinting: A new approach to compute cerebral blood volume, mean vessel radius, and oxygenation maps in the human brain.

Authors:  T Christen; N A Pannetier; W W Ni; D Qiu; M E Moseley; N Schuff; G Zaharchuk
Journal:  Neuroimage       Date:  2013-12-07       Impact factor: 6.556

Review 8.  Noise concerns and post-processing procedures in cerebral blood flow (CBF) and cerebral blood volume (CBV) functional magnetic resonance imaging.

Authors:  Manus J Donahue; Meher R Juttukonda; Jennifer M Watchmaker
Journal:  Neuroimage       Date:  2016-09-11       Impact factor: 6.556

9.  Paraquat is excluded by the blood brain barrier in rhesus macaque: An in vivo pet study.

Authors:  Rachel M Bartlett; James E Holden; R Jerome Nickles; Dhanabalan Murali; David L Barbee; Todd E Barnhart; Bradley T Christian; Onofre T DeJesus
Journal:  Brain Res       Date:  2008-12-24       Impact factor: 3.252

10.  Interleaved quantitative BOLD: Combining extravascular R2' - and intravascular R2-measurements for estimation of deoxygenated blood volume and hemoglobin oxygen saturation.

Authors:  Hyunyeol Lee; Erin K Englund; Felix W Wehrli
Journal:  Neuroimage       Date:  2018-03-23       Impact factor: 6.556

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