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

Scholz, Alexander-Wigbert; Wolf, Ursula; Fabel, Michael; Weiler, Norbert; Heussel, Claus P; Eberle, Balthasar; David, Matthias; Schreiber, Wolfgang G (2009). Comparison of magnetic resonance imaging of inhaled SF6 with respiratory gas analysis. Magnetic resonance imaging, 27(4), pp. 549-56. New York, N.Y.: Elsevier 10.1016/j.mri.2008.08.010

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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.

Item Type:	Journal Article (Original Article)
Division/Institute:	04 Faculty of Medicine > Department of Intensive Care, Emergency Medicine and Anaesthesiology (DINA) > Clinic and Policlinic for Anaesthesiology and Pain Therapy
UniBE Contributor:	Eberle, Balthasar
ISSN:	0730-725X
ISBN:	18930366
Publisher:	Elsevier
Language:	English
Submitter:	Jeannie Wurz
Date Deposited:	04 Oct 2013 15:01
Last Modified:	05 Dec 2022 14:19
Publisher DOI:	10.1016/j.mri.2008.08.010
PubMed ID:	18930366
Web of Science ID:	000265323800013
URI:	https://boris.unibe.ch/id/eprint/26670 (FactScience: 81106)