The OVERALL OBJECTIVE of this application is to develop a novel quantitative computed tomography (CT)-based method for precise identification of coronary artery lesions that cause ischemia. At present, no non-invasive test exists that determines both coronary artery disease (CAD) stenosis severity and whether a stenosis causes ischemia, or reduced myocardial perfusion. Physiologic stress testing by myocardial perfusion imaging (MPI) is the traditional method for evaluating CAD, and identifies ischemia but not stenoses. In contrast, coronary CT angiography (CCTA) enables direct anatomic visualization of CAD, but cannot discriminate whether a stenosis causes ischemia. By invasive methods, a combined anatomic-physiologic approach to CAD evaluation by invasive coronary angiography and fractional flow reserve (FFR), respectively, improves diagnosis of patients with stenoses that cause ischemia, reduces unnecessary revascularization, and improves clinical outcomes. Recently, a combined anatomic-physiologic approach by non-invasive methods has become possible by the addition of CT perfusion (CTP) to CCTA. Similar to MPI, CTP permits physiologic assessment of stenoses through measures of regional myocardial signal attenuation. Early studies of CTP have been constrained by several limitations, including: 1) shading artifacts; 2) motion artifacts; 3) lack of a quantitative method for assessing perfusion; 4 excess radiation; and 5) an inability to pinpoint specific lesions that cause ischemia. Projection based dual-energy CT (DECT) is a novel CT technology that directly addresses many of these limitations, providing the potential for dramatic reduction in artifacts and quantitative measurement of myocardial perfusion. Coupled with improvements in temporal resolution that reduce motion artifacts, DECT holds the potential to improve the diagnostic accuracy of CTP, with an undoubtedly positive and significant impact on the current diagnostic approach to patients with suspected CAD. The OVERALL HYPOTHESIS of this proposal is that a novel quantitative projection-based DECT-based method will enable discrimination of individuals who suffer from myocardial ischemia as well as the identification of the specific coronary artery lesions that are the cause. For this study, there are 3 specific aims: 1) Develop a novel DECT method that accurately quantifies material density; 2) Determine the in vitro diagnostic accuracy of novel DECT method to characterize myocardial perfusion; 3) Evaluate the in vivo diagnostic accuracy of CTP by the novel DECT method to determine coronary lesion-specific ischemia, as compared to an invasive FFR gold standard.
Coronary artery disease (CAD), or blockages in the heart arteries, is the leading cause of death in the world for both men and women. Computed tomography (CT) scans can visualize these blockages but cannot determine whether the blockages cause ischemia, or reduced blood supply to the heart muscle. This study will develop and validate novel CT methods (that reduce artifact and improve blood supply measurements) for both identification of individuals who manifest ischemia and also the specific coronary artery blockages that are the cause.
|Rizvi, Asim; Han, Donghee; Danad, Ibrahim et al. (2018) Diagnostic Performance of Hybrid Cardiac Imaging Methods for Assessment of Obstructive Coronary Artery Disease Compared With Stand-Alone Coronary Computed Tomography Angiography: A Meta-Analysis. JACC Cardiovasc Imaging 11:589-599|
|Danad, Ibrahim; Cho, Iksung; Elmore, Kimberly et al. (2018) Comparative diagnostic accuracy of dual-energy CT myocardial perfusion imaging by monochromatic energy versus material decomposition methods. Clin Imaging 50:1-4|
|Chang, Hyuk-Jae; Lin, Fay Y; Lee, Sang-Eun et al. (2018) Coronary Atherosclerotic Precursors of Acute Coronary Syndromes. J Am Coll Cardiol 71:2511-2522|
|Baskaran, Lohendran; Ó Hartaigh, Bríain; Schulman-Marcus, Joshua et al. (2017) Dense calcium and lesion-specific ischemia: A comparison of CCTA with fractional flow reserve. Atherosclerosis 260:163-168|
|Xiong, Guanglei; Sun, Peng; Zhou, Haoyin et al. (2017) Comprehensive Modeling and Visualization of Cardiac Anatomy and Physiology from CT Imaging and Computer Simulations. IEEE Trans Vis Comput Graph 23:1014-1028|
|Min, James K; Gilmore, Amanda; Jones, Erica C et al. (2017) Cost-effectiveness of diagnostic evaluation strategies for individuals with stable chest pain syndrome and suspected coronary artery disease. Clin Imaging 43:97-105|
|Danad, Ibrahim; Szymonifka, Jackie; Twisk, Jos W R et al. (2017) Diagnostic performance of cardiac imaging methods to diagnose ischaemia-causing coronary artery disease when directly compared with fractional flow reserve as a reference standard: a meta-analysis. Eur Heart J 38:991-998|
|Rizvi, Asim; Hartaigh, Bríain Ó; Danad, Ibrahim et al. (2017) Diffuse coronary artery disease among other atherosclerotic plaque characteristics by coronary computed tomography angiography for predicting coronary vessel-specific ischemia by fractional flow reserve. Atherosclerosis 258:145-151|
|Schulman-Marcus, Joshua; Hartaigh, Bríain Ó; Gransar, Heidi et al. (2016) Sex-Specific Associations Between Coronary Artery Plaque Extent and Risk of Major Adverse Cardiovascular Events: The CONFIRM Long-Term Registry. JACC Cardiovasc Imaging 9:364-372|
|Danad, Ibrahim; Szymonifka, Jackie; Schulman-Marcus, Joshua et al. (2016) Static and dynamic assessment of myocardial perfusion by computed tomography. Eur Heart J Cardiovasc Imaging 17:836-44|
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