Myocardial perfusion quantification using simultaneously acquired 13NH3-ammonia PET and dynamic contrast-enhanced MRI in patients at rest and stress

Kunze KP, Nekolla SG, Rischpler C, Zhang SH, Hayes C, Langwieser N, Ibrahim T, Laugwitz KL, Schwaiger M (2018)

Publication Type: Journal article

Publication year: 2018

Journal

Magnetic Resonance in Medicine Wiley

Book Volume: 80

Pages Range: 2641-2654

Journal Issue: 6

DOI: 10.1002/mrm.27213

Abstract

Purpose: Systematic differences with respect to myocardial perfusion quantification exist between DCE-MRI and PET. Using the potential of integrated PET/MRI, this study was conceived to compare perfusion quantification on the basis of simultaneously acquired 13NH3-ammonia PET and DCE-MRI data in patients at rest and stress. Methods: Twenty-nine patients were examined on a 3T PET/MRI scanner. DCE-MRI was implemented in dual-sequence design and additional T1 mapping for signal normalization. Four different deconvolution methods including a modified version of the Fermi technique were compared against 13NH3-ammonia results. Results: Cohort-average flow comparison yielded higher resting flows for DCE-MRI than for PET and, therefore, significantly lower DCE-MRI perfusion ratios under the common assumption of equal arterial and tissue hematocrit. Absolute flow values were strongly correlated in both slice-average (R2 = 0.82) and regional (R2 = 0.7) evaluations. Different DCE-MRI deconvolution methods yielded similar flow result with exception of an unconstrained Fermi method exhibiting outliers at high flows when compared with PET. Conclusion: Thresholds for Ischemia classification may not be directly tradable between PET and MRI flow values. Differences in perfusion ratios between PET and DCE-MRI may be lifted by using stress/rest-specific hematocrit conversion. Proper physiological constraints are advised in model-constrained deconvolution.

Involved external institutions

Technische Universität München (TUM) DE Germany (DE) Brigham and Women's Hospital (BWH) US United States (USA) (US) Siemens AG, Healthcare Sector DE Germany (DE) Deutsches Zentrum für Herz-Kreislauf-Forschung (DZHK e.V.) DE Germany (DE)

How to cite

APA:

Kunze, K.P., Nekolla, S.G., Rischpler, C., Zhang, S.H., Hayes, C., Langwieser, N.,... Schwaiger, M. (2018). Myocardial perfusion quantification using simultaneously acquired 13NH3-ammonia PET and dynamic contrast-enhanced MRI in patients at rest and stress. Magnetic Resonance in Medicine, 80(6), 2641-2654. https://doi.org/10.1002/mrm.27213

MLA:

Kunze, Karl P., et al. "Myocardial perfusion quantification using simultaneously acquired 13NH3-ammonia PET and dynamic contrast-enhanced MRI in patients at rest and stress." Magnetic Resonance in Medicine 80.6 (2018): 2641-2654.

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