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基于81mKr平衡吸入数据的区域特异性平均呼气气流

Regional specific mean expiratory gas flow from 81mKr equilibrium inhalation data.

作者信息

Hamilton D, Godfrey K R, Causer D A, McIntosh J A

出版信息

Eur J Nucl Med. 1985;10(7-8):321-31. doi: 10.1007/BF00251305.

Abstract

A new method of analysing the data available from routine 81m Kr equilibrium inhalation investigations has been developed. The data for analysis are acquired from a gamma camera in the form of a sequential series of images from which multiple breath activity-time curves are generated for eight regions in the lung. The method is based on a description of the behaviour of the radioactive gas in the lung using a mathematical model. Values of specific mean expiratory gas flow, that is mean expiratory gas flow per unit lung volume, are calculated from the application of the model to the expiratory phase only of a single breath activity-time curve which is generated from the multiple breath activity-time curve using post-acquisition gating. This method overcomes the problem of non-uniform inspiratory concentration of tracer gas experienced in previously reported techniques of analysing inhalation data obtained using poorly soluble radioactive gases. The model is shown, in simulation studies, to be an adequate description of the behaviour of radioactive gas in the lung and the analysis technique is shown, in clinical studies, to be both reproducible and sensitive to disease state.

摘要

一种用于分析常规81m氪平衡吸入研究中可用数据的新方法已经开发出来。用于分析的数据是从伽马相机以一系列连续图像的形式获取的,从中为肺部的八个区域生成多条呼吸活动-时间曲线。该方法基于使用数学模型对放射性气体在肺部行为的描述。特定平均呼气气流值,即单位肺容积的平均呼气气流,仅通过将模型应用于从多条呼吸活动-时间曲线通过采集后门控生成的单条呼吸活动-时间曲线的呼气阶段来计算。该方法克服了在先前报道的使用难溶性放射性气体分析吸入数据的技术中所遇到的示踪气体吸气浓度不均匀的问题。在模拟研究中表明,该模型能够充分描述放射性气体在肺部的行为,在临床研究中表明,该分析技术具有可重复性且对疾病状态敏感。

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