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吸入六氟化硫的磁共振成像与呼吸气体分析的比较

Comparison of magnetic resonance imaging of inhaled SF6 with respiratory gas analysis.

作者信息

Scholz Alexander-Wigbert, Wolf Ursula, Fabel Michael, Weiler Norbert, Heussel Claus P, Eberle Balthasar, David Matthias, Schreiber Wolfgang G

机构信息

Department of Anaesthesiology, Johannes Gutenberg-University, Mainz, Germany.

出版信息

Magn Reson Imaging. 2009 May;27(4):549-56. doi: 10.1016/j.mri.2008.08.010. Epub 2008 Oct 17.

DOI:10.1016/j.mri.2008.08.010
PMID:18930366
Abstract

Magnetic resonance imaging of inhaled fluorinated inert gases ((19)F-MRI) such as sulfur hexafluoride (SF(6)) allows for analysis of ventilated air spaces. In this study, the possibility of using this technique to image lung function was assessed. For this, (19)F-MRI of inhaled SF(6) was compared with respiratory gas analysis, which is a global but reliable measure of alveolar gas fraction. Five anesthetized pigs underwent multiple-breath wash-in procedures with a gas mixture of 70% SF(6) and 30% oxygen. Two-dimensional (19)F-MRI and end-expiratory gas fraction analysis were performed after 4 to 24 inhaled breaths. Signal intensity of (19)F-MRI and end-expiratory SF(6) fraction were evaluated with respect to linear correlation and reproducibility. Time constants were estimated by both MRI and respiratory gas analysis data and compared for agreement. A good linear correlation between signal intensity and end-expiratory gas fraction was found (correlation coefficient 0.99+/-0.01). The data were reproducible (standard error of signal intensity 8% vs. that of gas fraction 5%) and the comparison of time constants yielded a sufficient agreement. According to the good linear correlation and the acceptable reproducibility, we suggest the (19)F-MRI to be a valuable tool for quantification of intrapulmonary SF(6) and hence lung function.

摘要

吸入氟化惰性气体的磁共振成像((19)F-MRI),如六氟化硫(SF₆),可用于分析通气的气腔。在本研究中,评估了使用该技术对肺功能进行成像的可能性。为此,将吸入SF₆的(19)F-MRI与呼吸气体分析进行了比较,呼吸气体分析是一种全面但可靠的肺泡气体分数测量方法。五只麻醉猪用70% SF₆和30%氧气的混合气体进行了多次呼吸冲洗程序。在吸入4至24次呼吸后,进行二维(19)F-MRI和呼气末气体分数分析。评估了(19)F-MRI的信号强度与呼气末SF₆分数之间的线性相关性和可重复性。通过MRI和呼吸气体分析数据估计时间常数,并进行比较以确定一致性。发现信号强度与呼气末气体分数之间具有良好的线性相关性(相关系数0.99±0.01)。数据具有可重复性(信号强度的标准误差为8%,气体分数的标准误差为5%),时间常数的比较结果具有足够的一致性。根据良好的线性相关性和可接受的可重复性,我们认为(19)F-MRI是定量肺内SF₆从而评估肺功能的一种有价值的工具。

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