Development of an Ex Vivo, Beating Heart Model for CT Myocardial Perfusion

Gert Jan Pelgrim, Marco Das, Ulrike Haberland, Cees Slump, Astri Handayani, Sjoerd Van Tuijl, Marco Stijnen, Ernst Klotz, Matthijs Oudkerk, Joachim E. Wildberger, Rozemarijn Vliegenthart

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Abstract

Objective. To test the feasibility of a CT-compatible, ex vivo, perfused porcine heart model for myocardial perfusion CT imaging. Methods. One porcine heart was perfused according to Langendorff. Dynamic perfusion scanning was performed with a second-generation dual source CT scanner. Circulatory parameters like blood flow, aortic pressure, and heart rate were monitored throughout the experiment. Stenosis was induced in the circumflex artery, controlled by a fractional flow reserve (FFR) pressure wire. CT-derived myocardial perfusion parameters were analysed at FFR of 1 to 0.10/0.0. Results. CT images did not show major artefacts due to interference of the model setup. The pacemaker-induced heart rhythm was generally stable at 70 beats per minute. During most of the experiment, blood flow was 0.9-1.0 L/min, and arterial pressure varied between 80 and 95 mm/Hg. Blood flow decreased and arterial pressure increased by approximately 10% after inducing a stenosis with FFR ≤ 0.50. Dynamic perfusion scanning was possible across the range of stenosis grades. Perfusion parameters of circumflex-perfused myocardial segments were affected at increasing stenosis grades. Conclusion. An adapted Langendorff porcine heart model is feasible in a CT environment. This model provides control over physiological parameters and may allow in-depth validation of quantitative CT perfusion techniques.

Original languageEnglish
Article number412716
JournalBioMed Research International
Volume2015
DOIs
Publication statusPublished - 1 Jan 2015

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    Pelgrim, G. J., Das, M., Haberland, U., Slump, C., Handayani, A., Van Tuijl, S., Stijnen, M., Klotz, E., Oudkerk, M., Wildberger, J. E., & Vliegenthart, R. (2015). Development of an Ex Vivo, Beating Heart Model for CT Myocardial Perfusion. BioMed Research International, 2015, [412716]. https://doi.org/10.1155/2015/412716