Quantifying Myocardial Blood Flow and Resistance Using 4D-Flow Cardiac Magnetic Resonance Imaging. (2nd February 2023)

• Record Type: Journal Article
• Authors: Gosling, Rebecca C.; Williams, Gareth; Al Baraikan, Abdulaziz; Alabed, Samer; Levelt, Eylem; Chowdhary, Amrit; Swoboda, Peter P.; Halliday, Ian; Hose, D. Rodney; Gunn, Julian P.; Greenwood, John P.; Plein, Sven; Swift, Andrew J.; Wild, James M.; Garg, Pankaj; Morris, Paul D.
• Other Names: Simovic Stefan Academic Editor.
• Is Part Of: Cardiology research and practice. Volume 2023(2023)
• Publication Date: 2023-02-02
• Subjects: Cardiology -- Research -- Periodicals; Cardiology -- Periodicals; Cardiology; Cardiology; Cardiology -- Research; Electronic journals; Periodicals; Periodicals; 616.12
• DOI: 10.1155/2023/3875924
• Languages: English
• ISSNs: 2090-8016

Abstract

Abstract : Background . Ischaemia with nonobstructive coronary arteries is most commonly caused by coronary microvascular dysfunction but remains difficult to diagnose without invasive testing. Myocardial blood flow (MBF) can be quantified noninvasively on stress perfusion cardiac magnetic resonance (CMR) or positron emission tomography but neither is routinely used in clinical practice due to practical and technical constraints. Quantification of coronary sinus (CS) flow may represent a simpler method for CMR MBF quantification. 4D flow CMR offers comprehensive intracardiac and transvalvular flow quantification. However, it is feasibility to quantify MBF remains unknown. Methods . Patients with acute myocardial infarction (MI) and healthy volunteers underwent CMR. The CS contours were traced from the 2-chamber view. A reformatted phase contrast plane was generated through the CS, and flow was quantified using 4D flow CMR over the cardiac cycle and normalised for myocardial mass. MBF and resistance (MyoR) was determined in ten healthy volunteers, ten patients with myocardial infarction (MI) without microvascular obstruction (MVO), and ten with known MVO. Results . MBF was quantified in all 30 subjects. MBF was highest in healthy controls (123.8 ± 48.4 mL/min), significantly lower in those with MI (85.7 ± 30.5 mL/min), and even lower in those with MI and MVO (67.9 ± 29.2 mL/min/) (P < 0.01 for both differences). Compared with healthy controls, MyoR was higher in those with MI and even higher in those with MI and MVO (0.79 (±0.35) versus 1.10 (±0.50) versus 1.50 (±0.69), P = 0.02 ). Conclusions . MBF and MyoR can be quantified from 4D flow CMR. Resting MBF was reduced in patients with MI and MVO.