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Functional Assessment of the Donor Heart During Ex Situ Perfusion: Insights from Pressure-Volume Loops and Surface Echocardiography

Functional Assessment of the Donor Heart During Ex Situ Perfusion: Insights from Pressure-Volume Loops and Surface Echocardiography

Published on: October 11, 2022

Perfusion dyssynchrony analysis.

Amedeo Chiribiri¹, Adriana D M Villa², Eva Sammut²

¹Division of Imaging Sciences and Biomedical Engineering, Department of Cardiovascular Imaging, King's College London, 4th Floor Lambeth Wing, St Thomas' Hospital, London SE1 7EH, UK amedeo.chiribiri@kcl.ac.uk.

European Heart Journal. Cardiovascular Imaging

|December 26, 2015

Summary

This summary is machine-generated.

Perfusion dyssynchrony analysis using stress cardiac magnetic resonance (CMR) effectively identifies coronary artery disease (CAD). This novel method analyzes contrast agent wash-in timing, offering a robust approach to assess myocardial perfusion and aid CAD diagnosis.

Keywords:

adenosine dyssynchrony analysis gadolinium perfusion

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Normothermic Ex Situ Heart Perfusion in Working Mode: Assessment of Cardiac Function and Metabolism

Normothermic Ex Situ Heart Perfusion in Working Mode: Assessment of Cardiac Function and Metabolism

Published on: January 12, 2019

Area of Science:

Cardiovascular Imaging
Medical Diagnostics
Cardiac MRI

Background:

Coronary artery disease (CAD) diagnosis relies on assessing myocardial perfusion.
High temporal resolution of stress perfusion CMR offers potential for novel analytical approaches.

Purpose of the Study:

To describe and evaluate a novel perfusion dyssynchrony analysis for stress perfusion CMR.
To detect differences in contrast agent wash-in timing across the left ventricular wall.

Main Methods:

Retrospective analysis of 98 patients with suspected CAD undergoing 3T stress perfusion CMR and invasive angiography.
Analysis of stress images using four perfusion dyssynchrony indices: V-TTMU, C-TTMU, V-TTP, and C-TTP.
Correlation of indices with FFR-defined haemodynamically significant CAD and number of diseased vessels.

Main Results:

All perfusion dyssynchrony indices identified significant CAD.
C-TTP >10% showed high sensitivity (0.889) and specificity (0.857) for CAD.
C-TTP >12% identified multi-vessel disease with sensitivity 0.806 and specificity 0.657.
C-TTP demonstrated the best inter- and intra-observer reproducibility.

Conclusions:

Perfusion dyssynchrony analysis is a robust novel method for first-pass perfusion assessment.
This approach has the potential to provide complementary information for CAD assessment.
The technique leverages the high temporal resolution of stress perfusion CMR.