Dynamic Stress Computed Tomography Perfusion With a Whole-Heart Coverage Scanner in Addition to Coronary Computed Tomography Angiography and Fractional Flow Reserve Computed Tomography Derived.

OBJECTIVES The aims of the study were to test the diagnostic accuracy of integrated evaluation of dynamic myocardial computed tomography perfusion (CTP) on top of coronary computed tomography angiography (cCTA) plus fractional flow reserve computed tomography derived (FFRCT) by using a whole-heart coverage computed tomography (CT) scanner as compared with clinically indicated invasive coronary angiography (ICA) and invasive fractional flow reserve (FFR). BACKGROUND Recently, new techniques such as dynamic stress computed tomography perfusion (stress-CTP) emerged as potential strategies to combine anatomical and functional evaluation in a one-shot scan. However, previous experiences with this technique were associated with high radiation exposure. METHODS Eighty-five consecutive symptomatic patients scheduled for ICA were prospectively enrolled. All patients underwent rest cCTA followed by stress dynamic CTP with a whole-heart coverage CT scanner (Revolution CT, GE Healthcare, Milwaukee, Wisconsin). FFRCT was also measured by using the rest cCTA dataset. The diagnostic accuracy to detect functionally significant coronary artery disease (CAD) in a vessel-based model of cCTA alone, cCTA+FFRCT, cCTA+CTP, or cCTA+FFRCT+CTP were assessed and compared by using ICA and invasive FFR as reference. The overall effective dose of dynamic CTP was also measured. RESULTS The prevalence of obstructive CAD and functionally significant CAD was 77% and 57%, respectively. The sensitivity and specificity of cCTA alone, cCTA+FFRCT, and cCTA+CTP were 83% and 66%, 86% and 75%, and 73% and 86%, respectively. Both the addition of FFRCT and CTP improves the area under the curve (AUC: 0.876 and 0.878, respectively) as compared with cCTA alone (0.826; p < 0.05). The sequential strategy of cCTA+FFRCT+CTP showed the highest AUC (0.919; p < 0.05) as compared with all other strategies. The mean effective radiation dose (ED) for cCTA and stress CTP was 2.8 ± 1.2 mSv and 5.3 ± 0.7 mSv, respectively. CONCLUSIONS The addition of dynamic stress CTP on top of cCTA and FFRCT provides additional diagnostic accuracy with acceptable radiation exposure.

[1]  A. Arai,et al.  Dynamic stress computed tomography myocardial perfusion for detecting myocardial ischemia: A systematic review and meta-analysis. , 2018, International journal of cardiology.

[2]  R. Frye,et al.  A reporting system on patients evaluated for coronary artery disease. Report of the Ad Hoc Committee for Grading of Coronary Artery Disease, Council on Cardiovascular Surgery, American Heart Association. , 1975, Circulation.

[3]  U. Schoepf,et al.  Adenosine-stress dynamic myocardial perfusion imaging with second-generation dual-source CT: comparison with conventional catheter coronary angiography and SPECT nuclear myocardial perfusion imaging. , 2012, AJR. American journal of roentgenology.

[4]  Mauro Pepi,et al.  Incremental Diagnostic Value of Stress Computed Tomography Myocardial Perfusion With Whole-Heart Coverage CT Scanner in Intermediate- to High-Risk Symptomatic Patients Suspected of Coronary Artery Disease. , 2018, JACC. Cardiovascular imaging.

[5]  H. Gransar,et al.  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. , 2017, JACC. Cardiovascular imaging.

[6]  D. Andreini,et al.  Accuracy of multidetector spiral computed tomography in detecting significant coronary stenosis in patient populations with differing pre-test probabilities of disease. , 2007, Clinical radiology.

[7]  H. Bøtker,et al.  Diagnosing coronary artery disease after a positive coronary computed tomography angiography: the Dan-NICAD open label, parallel, head to head, randomized controlled diagnostic accuracy trial of cardiovascular magnetic resonance and myocardial perfusion scintigraphy , 2018, European heart journal cardiovascular Imaging.

[8]  Jackie Szymonifka,et al.  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 , 2016, European heart journal.

[9]  Bettina M. Gramer,et al.  Myocardium: dynamic versus single-shot CT perfusion imaging. , 2013, Radiology.

[10]  S. Petersen,et al.  Diagnostic performance of hyperaemic myocardial blood flow index obtained by dynamic computed tomography: does it predict functionally significant coronary lesions? , 2014, European heart journal cardiovascular Imaging.

[11]  H. Shirato,et al.  Quantification of myocardial blood flow using dynamic 320-row multi-detector CT as compared with 15O-H2O PET , 2014, European Radiology.

[12]  S. Achenbach,et al.  SCCT guidelines for the interpretation and reporting of coronary CT angiography: a report of the Society of Cardiovascular Computed Tomography Guidelines Committee. , 2014, Journal of cardiovascular computed tomography.

[13]  J. Leipsic,et al.  Comparison of Coronary CT Angiography, SPECT, PET, and Hybrid Imaging for Diagnosis of Ischemic Heart Disease Determined by Fractional Flow Reserve , 2017, JAMA cardiology.

[14]  Nikola Jagic,et al.  Fractional flow reserve-guided PCI versus medical therapy in stable coronary disease. , 2012, The New England journal of medicine.

[15]  U. Siebert,et al.  Fractional flow reserve versus angiography for guiding percutaneous coronary intervention. , 2009, The New England journal of medicine.

[16]  Jérémie F. Cohen,et al.  STARD 2015: An Updated List of Essential Items for Reporting Diagnostic Accuracy Studies. , 2015, Radiology.

[17]  Samuel Chang,et al.  Detection of ischaemic myocardial lesions with coronary CT angiography and adenosine-stress dynamic perfusion imaging using a 128-slice dual-source CT: diagnostic performance in comparison with cardiac MRI. , 2013, The British journal of radiology.

[18]  A. Kono,et al.  Integrating CT Myocardial Perfusion and CT-FFR in the Work-Up of Coronary Artery Disease. , 2017, JACC. Cardiovascular imaging.

[19]  Ernst Klotz,et al.  Stress myocardial perfusion: imaging with multidetector CT. , 2014, Radiology.

[20]  J. Hsieh,et al.  Ultra-low dose quantitative CT myocardial perfusion imaging with sparse-view dynamic acquisition and image reconstruction: A feasibility study. , 2017, International journal of cardiology.

[21]  Jamil Mayet,et al.  Diagnostic Accuracy of Computed Tomography–Derived Fractional Flow Reserve: A Systematic Review , 2017, JAMA cardiology.

[22]  Hatem Alkadhi,et al.  A clinical prediction rule for the diagnosis of coronary artery disease: validation, updating, and extension. , 2011, European heart journal.

[23]  C. Fink,et al.  Adenosine-stress dynamic real-time myocardial perfusion CT and adenosine-stress first-pass dual-energy myocardial perfusion CT for the assessment of acute chest pain: initial results. , 2012, European journal of radiology.

[24]  M. Reiser,et al.  Detection of hemodynamically significant coronary artery stenosis: incremental diagnostic value of dynamic CT-based myocardial perfusion imaging. , 2011, Radiology.

[25]  G. Pontone Anatomy and physiology in ischaemic heart disease: a second honeymoon? , 2016, European heart journal.

[26]  D. Berman,et al.  Sex-Specific Associations Between Coronary Artery Plaque Extent and Risk of Major Adverse Cardiovascular Events: The CONFIRM Long-Term Registry. , 2016, JACC. Cardiovascular imaging.

[27]  D. Andreini,et al.  A long-term prognostic value of CT angiography and exercise ECG in patients with suspected CAD. , 2013, JACC. Cardiovascular imaging.

[28]  U. Schoepf,et al.  Adenosine-Stress Dynamic Myocardial CT Perfusion Imaging: Initial Clinical Experience , 2010, Investigative radiology.

[29]  D. Andreini,et al.  Coronary artery disease: diagnostic accuracy of CT coronary angiography--a comparison of high and standard spatial resolution scanning. , 2014, Radiology.

[30]  Ryohei Nakayama,et al.  Underestimation of myocardial blood flow by dynamic perfusion CT: Explanations by two-compartment model analysis and limited temporal sampling of dynamic CT. , 2016, Journal of cardiovascular computed tomography.

[31]  A. Kono,et al.  Relative Myocardial Blood Flow by Dynamic Computed Tomographic Perfusion Imaging Predicts Hemodynamic Significance of Coronary Stenosis Better Than Absolute Blood Flow , 2014, Investigative radiology.

[32]  Kia-Chong Chua,et al.  Stress and rest dynamic myocardial perfusion imaging by evaluation of complete time-attenuation curves with dual-source CT. , 2010, JACC. Cardiovascular imaging.

[33]  G. Levine,et al.  2011 ACCF/AHA/SCAI Guideline for Percutaneous Coronary Intervention. A report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines and the Society for Cardiovascular Angiography and Interventions. , 2011, Journal of the American College of Cardiology.

[34]  S. Plein,et al.  Cardiovascular magnetic resonance and single-photon emission computed tomography for diagnosis of coronary heart disease (CE-MARC): a prospective trial , 2012, The Lancet.

[35]  H. Iwaki,et al.  Differentiation of myocardial ischemia and infarction assessed by dynamic computed tomography perfusion imaging and comparison with cardiac magnetic resonance and single-photon emission computed tomography , 2016, European Radiology.

[36]  Young Jun Cho,et al.  Dynamic CT myocardial perfusion imaging: performance of 3D semi-automated evaluation software , 2013, European Radiology.

[37]  M. Reiser,et al.  Dynamic myocardial CT perfusion imaging for evaluation of myocardial ischemia as determined by MR imaging. , 2014, JACC. Cardiovascular imaging.