Literature DB >> 1154473

Some experimental errors in calculating regional cerebral blood flow from the intracarotid 133Xe clearance curve. A quantitative evaluation employing a digital model.

I Kanno, K Uemura.   

Abstract

A digital model study has been developed for quantitative assessment of experimental errors in the analysis of 133Xe clearance curve from the brain. A small computer synthesized a model of the clearance curve, varying combinations of fast and slow components. The curves were convoluted with Poisson random digits to simulate statistical fluctuations. Identical curves were overlapped with varying intervals to study the influence of remaining activity. The height over area method to ten minutes was confirmed to overestimate CBF by 10% to 15% with a slow component of 20 ml/100 gm per minute, and the overstimation was increased with a lower slow flow component. The initial slope value was shown to have a close relationship with the fast flow component when the latter was less than 100 ml/100 gm per minute. Errors due to statistical fluctuations were determined only by the initial height (Ho cps), as the percent standard deviation was deltaHo/Ho in the height over area method and 2 deltaHo/HologHo in the initial slope method, where deltaHo equals square rootHo. Remaining activity caused errors of 1% to 3% in the initial slope method with an injection interval of 15 minutes. The influence of remaining activity can be eliminated with an injection interval of more than 25 to 30 minutes in the initial slope method and more than 40 minutes in the height over area method.

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Year:  1975        PMID: 1154473     DOI: 10.1161/01.str.6.4.370

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  2 in total

1.  Sequential changes of regional circulation in cerebral infarction.

Authors:  K Uemura; K Goto; K Ishii; Z Ito; R Hen; H Kawakami
Journal:  Neuroradiology       Date:  1978       Impact factor: 2.804

2.  Washout allometric reference method (WARM) for parametric analysis of [(11)C]PIB in human brains.

Authors:  Anders Rodell; Joel Aanerud; Hans Braendgaard; Albert Gjedde
Journal:  Front Aging Neurosci       Date:  2013-11-27       Impact factor: 5.750

  2 in total

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