Automated Pixel-Wise Quantitative Myocardial Perfusion Mapping by CMR to Detect Obstructive Coronary Artery Disease and Coronary Microvascular Dysfunction Validation Against Invasive Coronary Physiology

JACC-CARDIOVASCULAR IMAGING

卷:12

Article

Kotecha, Tushar^1,2  Martinez-Naharro, Ana^2,3  Boldrini, Michele³  Knight, Daniel^1,2  Hawkins, Philip^2,3  Kalra, Sundeep²  Patel, Deven²  Coghlan, Gerry²  Moon, James^1,4  Plein, Sven⁵  Lockie, Tim²  Rakhit, Roby^1,2  Patel, Niket^1,2  Xue, Hui⁶  Kellman, Peter⁶  Fontana, Marianna^2,3 

[1] UCL, Inst Cardiovasc Sci, London, England

[2] Royal Free Hosp, London, England

[3] UCL, Div Med, London, England

[4] Barts Heart Ctr, London, England

[5] Univ Leeds, Inst Cardiovasc & Metab Med, Leeds, W Yorkshire, England

[6] NHLBI, NIH, Bldg 10, Bethesda, MD 20892 USA

关键词: cardiovascular magnetic resonance;    CMR;    coronary artery disease;    index of microcirculatory resistance;    microvascular dysfunction;    myocardial blood flow;   

DOI  :  10.1016/j.jcmg.2018.12.022

来源: Elsevier

【 摘 要 】

OBJECTIVES This study sought to assess the performance of cardiovascular magnetic resonance (CMR) myocardial perfusion mapping against invasive coronary physiology reference standards for detecting coronary artery disease (CAD, defined by fractional flow reserve [FFR] <= 0.80), microvascutar dysfunction (MVD) (defined by index of microcirculatory resistance [IMR] >= 25) and the ability to differentiate between the two. BACKGROUND Differentiation of epicardial (CAD) and MVD in patients with stable angina remains challenging. Automated in-line CMR perfusion mapping enables quantification of myocardial blood flow (MBF) to be performed rapidly within a clinical workflow. METHODS Fifty patients with stable angina and 15 healthy volunteers underwent adenosine stress CMR at 1.5T with quantification of MBF and myocardial perfusion reserve (MPR). FFR and IMR were measured in 101 coronary arteries during subsequent angiography. RESULTS Twenty-seven patients had obstructive CAD and 23 had nonobstructed arteries (7 normal IMR, 16 abnormal IMR). FFR positive (epicardial stenosis) areas had significantly lower stress MBF (1.47 +/- 0.48 ml/g/min) and MPR (1.75 +/- 0.60) than FFR-negative IMR-positive (MVD) areas (stress MBF: 2.10 +/- 0.35 ml/g/min; MPR: 2.41 +/- 0.79) and normal areas (stress MBF: 2.47 +/- 0.50 ml/g/min; MPR: 2.94 +/- 0.81). Stress MBF <= 1.94 ml/g/min accurately detected obstructive CAD on a regional basis (area under the curve: 0.90; p < 0.001). In patients without regional perfusion defects, global stress MBF <1.82 ml/g/min accurately discriminated between obstructive 3-vessel disease and MVD (area under the curve: 0.94; p < 0.001). CONCLUSIONS This novel automated pixel-wise perfusion mapping technique can be used to detect physiologically significant CAD defined by FFR, MVD defined by IMR, and to differentiate MVD from multivessel coronary disease. A CMR-based diagnostic algorithm using perfusion mapping for detection of epicardial disease and MVD warrants further clinical validation. (C) 2019 Published by Elsevier on behalf of the American College of Cardiology Foundation.

【 授权许可】

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