Regional Cerebral low in Man Determined by Intral-artrial Injection of Radioactive Inert Gas

Author:

Høedt-Rasmussen K.1,Sveinsdottir Edda1,Lassen Niels A.1

Affiliation:

1. Department of Clinical Physiology, Bispebjerg Hospital Copenhagen

Abstract

The intra-arterial injection of a radioactive inert gas is described for measurement of regional cerebral blood flow in man from externally recorded clearance curves. The stochastic analysis for calculating the average cerebral blood flow in ml/100 g/min is compared to an analysis of the curve into two compartments with fast and slow clearance rates representing flow in grey and white cerebral matter respectively. An estimate of the relative weight of the grey matter in the cerebral region counted from brain is also obtained. A detailed description is given of the experimental procedure using krypton 85 or xenon 133 as the tracer gas. A brief injection time and short time constant in the recording ratemeter are important for obtaining a correct estimate of the maximal height of the curve. Mono-exponential extrapolation beyond the time of observation (usually 15 minutes) is employed. The practical procedure for calculating the results according to the stochastic and compartmental models are described with particular emphasis on the simple "10 minutes-average-flow-value, " CBF (10) which corresponds directly to the results of the classical Kety-Schmidt inert gas inhalation method for measurement of the average blood flow of the whole brain.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Cardiology and Cardiovascular Medicine,Physiology

Cited by 333 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3