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Tracking the progress of inflammation with PET/MRI in a canine model of myocardial infarction

  • ORIGINAL ARTICLE
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Journal of Nuclear Cardiology Aims and scope

Abstract

Background

Following myocardial infarction, tissue undergoes pathophysiological changes involving inflammation and scar tissue formation. However, little is known about the pathophysiology and prognostic significance of any corresponding changes in remote myocardium. The aim of this study was to investigate the potential application of a combined constant infusion of 18F-FDG and Gd-DTPA to quantitate inflammation and extracellular volume (ECV) from 3 to 40 days after myocardial infarction.

Methods

Eight canine subjects were imaged at multiple time points following induction of an MI with a 60-minute concurrent constant infusion of Gd-DTPA and 18F-FDG using a hybrid PET/MRI scanner.

Results

There was a significant increase in ECV in remote myocardium on day 14 post-MI (P = .034) and day 21 (P = .021) compared to the baseline. ECV was significantly elevated in the infarcted myocardium compared to remote myocardium at all time points post-MI (days 3, 7, 14, 21, and 40) (P < .001) while glucose uptake was also increased within the infarct on days 3, 7, 14, and 21 but not 40.

Conclusions

The significant increase in ECV in remote tissue may be due to an ongoing inflammatory process in the early weeks post-infarct.

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Abbreviations

IOT:

Infarcted obstructed tissue

INOT:

Infarcted not obstructed tissue

RT:

Remote tissue

MI:

Myocardial infarction

GBCA:

Gadolinium-based contrast agent

FDG:

18F-Fluorodeoxyglucose

ECV:

Extracellular volume

EF:

Ejection fraction

ESV:

End-systolic volume

EDV:

End-diastolic volume

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Acknowledgements

Wilk, B. is supported by an Ontario Graduate scholarship and a Lawson Internal Research Fund. This work was supported in part by Ontario Research Fund RE7-021 and Canadian Foundation for Innovation no. 11358. The authors would like to thank Siemens Health Care Limited for the in-kind contribution of the Myomaps software license. Both first authors contributed equally to this work.

Disclosure

B. Wilk, H. Smailovic, G. Wisenberg, J. Sykes, J. Butler, M. Kovacs, J. D. Thiessen, and F. S. Prato have no conflicts of interest to disclose.

Author information

Author notes

  1. B. Wilk and H. Smailovic have contributed equally to this work.

Authors and Affiliations

  1. Lawson Health Research Institute, London, Canada

    B. Wilk, H. Smailovic BSc, G. Wisenberg MD, J. Sykes, J. Butler, M. Kovacs PhD, J. D. Thiessen PhD & F. S. Prato PhD

  2. Department of Medical Biophysics, Western University, London, Canada

    B. Wilk, M. Kovacs PhD, J. D. Thiessen PhD & F. S. Prato PhD

  3. Department of Medical Imaging, Western University, London, Canada

    H. Smailovic BSc, M. Kovacs PhD, J. D. Thiessen PhD & F. S. Prato PhD

  4. Collaborative Graduate Program in Molecular Imaging, Western University, London, Canada

    B. Wilk, J. D. Thiessen PhD & F. S. Prato PhD

  5. MyHealth Centre, Arva, Canada

    G. Wisenberg MD

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Wilk, B., Smailovic, H., Wisenberg, G. et al. Tracking the progress of inflammation with PET/MRI in a canine model of myocardial infarction. J. Nucl. Cardiol. 29, 1315–1325 (2022). https://doi.org/10.1007/s12350-020-02487-5

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