Assessment of Advanced Coronary Artery Disease: Advantages of Quantitative Cardiac Magnetic Resonance Perfusion Analysis
Overview
Authors
Affiliations
Objectives: The purpose of this paper was to compare quantitative cardiac magnetic resonance (CMR) first-pass contrast-enhanced perfusion imaging to qualitative interpretation for determining the presence and severity of coronary artery disease (CAD).
Background: Adenosine CMR can detect CAD by measuring perfusion reserve (PR) or by qualitative interpretation (QI).
Methods: Forty-one patients with an abnormal nuclear stress scheduled for X-ray angiography underwent dual-bolus adenosine CMR. Segmental myocardial perfusion analyzed using both QI and PR by Fermi function deconvolution was compared to quantitative coronary angiography.
Results: In the 30 patients with complete quantitative data, PR (mean +/- SD) decreased stepwise as coronary artery stenosis (CAS) severity increased: 2.42 +/- 0.94 for <50%, 2.14 +/- 0.87 for 50% to 70%, and 1.85 +/- 0.77 for >70% (p < 0.001). The PR and QI had similar diagnostic accuracies for detection of CAS >50% (83% vs. 80%), and CAS >70% (77% vs. 67%). Agreement between observers was higher for quantitative analysis than for qualitative analysis. Using PR, patients with triple-vessel CAD had a higher burden of detectable ischemia than patients with single-vessel CAD (60% vs. 25%; p = 0.02), whereas no difference was detected by QI (31% vs. 21%; p = 0.26). In segments with myocardial scar (n = 64), PR was 3.10 +/- 1.34 for patients with CAS <50% (n = 18) and 1.91 +/- 0.96 for CAS >50% (p < 0.0001).
Conclusions: Quantitative PR by CMR differentiates moderate from severe stenoses in patients with known or suspected CAD. The PR analysis differentiates triple- from single-vessel CAD, whereas QI does not, and determines the severity of CAS subtending myocardial scar. This has important implications for assessment of prognosis and therapeutic decision making.
Hoek R, Borodzicz-Jazdzyk S, van Diemen P, Somsen Y, W de Winter R, Jukema R Eur Heart J Cardiovasc Imaging. 2024; 26(2):207-217.
PMID: 39382154 PMC: 11781829. DOI: 10.1093/ehjci/jeae262.
Markousis-Mavrogenis G, Sfikakis P, Kwong A, Pepe A, Matucci-Cerinic M, Kitas G Rev Cardiovasc Med. 2024; 24(10):290.
PMID: 39077573 PMC: 11273118. DOI: 10.31083/j.rcm2410290.
Fu Q, Alabed S, Hoole S, Abraham G, Weir-McCall J Radiol Cardiothorac Imaging. 2024; 6(3):e230382.
PMID: 38814186 PMC: 11211944. DOI: 10.1148/ryct.230382.
Arterial Input Function (AIF) Correction Using AIF Plus Tissue Inputs with a Bi-LSTM Network.
Huang Q, Le J, Joshi S, Mendes J, Adluru G, DiBella E Tomography. 2024; 10(5):660-673.
PMID: 38787011 PMC: 11126045. DOI: 10.3390/tomography10050051.
Crawley R, Kunze K, Milidonis X, Highton J, McElroy S, Frey S Eur Heart J Cardiovasc Imaging. 2024; 25(7):914-925.
PMID: 38525948 PMC: 11210990. DOI: 10.1093/ehjci/jeae084.