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      Future Directions in Coronary CT Angiography: CT-Fractional Flow Reserve, Plaque Vulnerability, and Quantitative Plaque Assessment

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      https://www.riss.kr/link?id=A106585852

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      다국어 초록 (Multilingual Abstract)

      Coronary computed tomography angiography (CCTA) is a well-validated and noninvasive imaging modality for the assessment of coronary artery disease (CAD) in patients with stable ischemic heart disease and acute coronary syndromes (ACSs). CCTA not only delineates the anatomy of the heart and coronary arteries in detail, but also allows for intra- and extraluminal imaging of coronary arteries. Emerging technologies have promoted new CCTA applications, resulting in a comprehensive assessment of coronary plaques and their clinical significance. The application of computational fluid dynamics to CCTA resulted in a robust tool for noninvasive assessment of coronary blood flow hemodynamics and determination of hemodynamically significant stenosis. Detailed evaluation of plaque morphology and identification of high-risk plaque features by CCTA have been confirmed as predictors of future outcomes, identifying patients at risk for ACSs. With quantitative coronary plaque assessment, the progression of the CAD or the response to therapy could be monitored by CCTA. The aim of this article is to review the future directions of emerging applications in CCTA, such as computed tomography (CT)-fractional flow reserve, imaging of vulnerable plaque features, and quantitative plaque imaging. We will also briefly discuss novel methods appearing in the coronary imaging scenario, such as machine learning, radiomics, and spectral CT.
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      Coronary computed tomography angiography (CCTA) is a well-validated and noninvasive imaging modality for the assessment of coronary artery disease (CAD) in patients with stable ischemic heart disease and acute coronary syndromes (ACSs). CCTA not only ...

      Coronary computed tomography angiography (CCTA) is a well-validated and noninvasive imaging modality for the assessment of coronary artery disease (CAD) in patients with stable ischemic heart disease and acute coronary syndromes (ACSs). CCTA not only delineates the anatomy of the heart and coronary arteries in detail, but also allows for intra- and extraluminal imaging of coronary arteries. Emerging technologies have promoted new CCTA applications, resulting in a comprehensive assessment of coronary plaques and their clinical significance. The application of computational fluid dynamics to CCTA resulted in a robust tool for noninvasive assessment of coronary blood flow hemodynamics and determination of hemodynamically significant stenosis. Detailed evaluation of plaque morphology and identification of high-risk plaque features by CCTA have been confirmed as predictors of future outcomes, identifying patients at risk for ACSs. With quantitative coronary plaque assessment, the progression of the CAD or the response to therapy could be monitored by CCTA. The aim of this article is to review the future directions of emerging applications in CCTA, such as computed tomography (CT)-fractional flow reserve, imaging of vulnerable plaque features, and quantitative plaque imaging. We will also briefly discuss novel methods appearing in the coronary imaging scenario, such as machine learning, radiomics, and spectral CT.

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      참고문헌 (Reference)

      1 Ferencik M, "Use of high-risk coronary atherosclerotic plaque detection for risk stratification of patients with stable chest pain : a secondary analysis of the PROMISE randomized clinical trial" 3 : 144-152, 2018

      2 Kalisz K, "Update on cardiovascular applications of multienergy CT" 37 : 1955-1974, 2017

      3 Falk E, "Update on acute coronary syndromes : the pathologists' view" 34 : 719-728, 2013

      4 Kelion AD, "The rationale for the primacy of coronary CT angiography in the National Institute for Health and Care Excellence(NICE)guideline(CG95)for the investigation of chest pain of recent onset" 12 : 516-522, 2018

      5 Maurovich-Horvat P, "The napkin-ring sign: CT signature of high-risk coronary plaques?" 3 : 440-444, 2010

      6 Schaar JA, "Terminology for high-risk and vulnerable coronary artery plaques. Report of a meeting on the vulnerable plaque, June 17 and 18, 2003, Santorini, Greece" 25 : 1077-1082, 2004

      7 Zhang JM, "Simplified models of non-invasive fractional flow reserve based on CT images" 11 : e0153070-, 2016

      8 Han D, "Relationship between endothelial wall shear stress and high-risk atherosclerotic plaque characteristics for identification of coronary lesions that cause ischemia : a direct comparison with fractional flow reserve" 5 : e004186-, 2016

      9 Fairbairn TA, "Real-world clinical utility and impact on clinical decision-making of coronary computed tomography angiography-derived fractional flow reserve : lessons from the ADVANCE registry" 39 : 3701-3711, 2018

      10 Lee SE, "Rationale and design of the Progression of AtheRosclerotic PlAque DetermIned by Computed TomoGraphic Angiography IMaging(PARADIGM)registry : a comprehensive exploration of plaque progression and its impact on clinical outcomes from a multicenter serial coronary computed tomographic angiography study" 182 : 72-79, 2016

      1 Ferencik M, "Use of high-risk coronary atherosclerotic plaque detection for risk stratification of patients with stable chest pain : a secondary analysis of the PROMISE randomized clinical trial" 3 : 144-152, 2018

      2 Kalisz K, "Update on cardiovascular applications of multienergy CT" 37 : 1955-1974, 2017

      3 Falk E, "Update on acute coronary syndromes : the pathologists' view" 34 : 719-728, 2013

      4 Kelion AD, "The rationale for the primacy of coronary CT angiography in the National Institute for Health and Care Excellence(NICE)guideline(CG95)for the investigation of chest pain of recent onset" 12 : 516-522, 2018

      5 Maurovich-Horvat P, "The napkin-ring sign: CT signature of high-risk coronary plaques?" 3 : 440-444, 2010

      6 Schaar JA, "Terminology for high-risk and vulnerable coronary artery plaques. Report of a meeting on the vulnerable plaque, June 17 and 18, 2003, Santorini, Greece" 25 : 1077-1082, 2004

      7 Zhang JM, "Simplified models of non-invasive fractional flow reserve based on CT images" 11 : e0153070-, 2016

      8 Han D, "Relationship between endothelial wall shear stress and high-risk atherosclerotic plaque characteristics for identification of coronary lesions that cause ischemia : a direct comparison with fractional flow reserve" 5 : e004186-, 2016

      9 Fairbairn TA, "Real-world clinical utility and impact on clinical decision-making of coronary computed tomography angiography-derived fractional flow reserve : lessons from the ADVANCE registry" 39 : 3701-3711, 2018

      10 Lee SE, "Rationale and design of the Progression of AtheRosclerotic PlAque DetermIned by Computed TomoGraphic Angiography IMaging(PARADIGM)registry : a comprehensive exploration of plaque progression and its impact on clinical outcomes from a multicenter serial coronary computed tomographic angiography study" 182 : 72-79, 2016

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      24 Ko BS, "Noninvasive CT-derived FFR based on structural and fluid analysis : a comparison with invasive FFR for detection of functionally significant stenosis" 10 : 663-673, 2017

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      32 Singh G, "Machine learning in cardiac CT : basic concepts and contemporary data" 12 : 192-201, 2018

      33 Dey D, "Integrated prediction of lesion-specific ischaemia from quantitative coronary CT angiography using machine learning : a multicentre study" 28 : 2655-2664, 2018

      34 Nadjiri J, "Incremental prognostic value of quantitative plaque assessment in coronary CT angiography during 5 years of follow up" 10 : 97-104, 2016

      35 Kim HJ, "Incorporating autoregulatory mechanisms of the cardiovascular system in three-dimensional finite element models of arterial blood flow" 38 : 2314-2330, 2010

      36 Shin S, "Impact of intensive LDL cholesterol lowering on coronary artery atherosclerosis progression : a serial CT angiography study" 10 : 437-446, 2017

      37 Wykrzykowska J, "Imaging of inflamed and vulnerable plaque in coronary arteries with 18F-FDG PET/CT in patients with suppression of myocardial uptake using a low-carbohydrate, high-fat preparation" 50 : 563-568, 2009

      38 Kolossváry M, "Identification of invasive and radionuclide imaging markers of coronary plaque vulnerability using radiomic analysis of coronary computed tomography angiography" 20 : 1250-1258, 2019

      39 Lee JM, "Identification of high-risk plaques destined to cause acute coronary syndrome using coronary computed tomographic angiography and computational fluid dynamics" 12 : 1032-1043, 2019

      40 Narula J, "Histopathologic characteristics of atherosclerotic coronary disease and implications of the findings for the invasive and noninvasive detection of vulnerable plaques" 61 : 1041-1051, 2013

      41 Puchner SB, "High-risk plaque detected on coronary CT angiography predicts acute coronary syndromes independent of significant stenosis in acute chest pain : results from the ROMICAT-II trial" 64 : 684-692, 2014

      42 Alexanderson E, "Fusion of positron emission tomography and coronary computed tomographic angiography identifies fluorine 18 fluorodeoxyglucose uptake in the left main coronary artery soft plaque" 15 : 841-843, 2008

      43 Pijls NH, "Fractional flow reserve versus angiography for guiding percutaneous coronary intervention in patients with multivessel coronary artery disease : 2-year follow-up of the FAME(Fractional Flow Reserve Versus Angiography for Multivessel Evaluation)study" 56 : 177-184, 2010

      44 Tonino PA, "Fractional flow reserve versus angiography for guiding percutaneous coronary intervention" 360 : 213-224, 2009

      45 Coenen A, "Fractional flow reserve computed from noninvasive CT angiography data : diagnostic performance of an on-site clinician-operated computational fluid dynamics algorithm" 274 : 674-683, 2015

      46 Kashiwagi M, "Feasibility of noninvasive assessment of thin-cap fibroatheroma by multidetector computed tomography" 2 : 1412-1419, 2009

      47 Rogers IS, "Feasibility of FDG imaging of the coronary arteries : comparison between acute coronary syndrome and stable angina" 3 : 388-397, 2010

      48 Zhou J, "Epicardial fat volume improves the prediction of obstructive coronary artery disease above traditional risk factors and coronary calcium score" 12 : e008002-, 2019

      49 Goeller M, "Epicardial adipose tissue density and volume are related to subclinical atherosclerosis, inflammation and major adverse cardiac events in asymptomatic subjects" 12 : 67-73, 2018

      50 Fearon WF, "Economic evaluation of fractional flow reserve-guided percutaneous coronary intervention in patients with multivessel disease" 122 : 2545-2550, 2010

      51 Pontone G, "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" S1936-878X (S1936-878X): 30250-30255, 2019

      52 de Vos BD, "Direct automatic coronary calcium scoring in cardiac and chest CT" 38 : 2127-2138, 2019

      53 Fordyce CB, "Diagnostic strategies for the evaluation of chest pain : clinical implications from SCOT-HEART and PROMISE" 67 : 843-852, 2016

      54 Nørgaard BL, "Diagnostic performance of noninvasive fractional flow reserve derived from coronary computed tomography angiography in suspected coronary artery disease : the NXT trial(Analysis of Coronary Blood Flow Using CT Angiography : Next Steps)" 63 : 1145-1155, 2014

      55 Miller JM, "Diagnostic performance of coronary angiography by 64-row CT" 359 : 2324-2336, 2008

      56 Chung JH, "Diagnostic performance of a Novel Method for Fractional Flow Reserve Computed from Noninvasive Computed Tomography Angiography(NOVEL-FLOW Study)" 120 : 362-368, 2017

      57 Budoff MJ, "Diagnostic performance of 64-multidetector row coronary computed tomographic angiography for evaluation of coronary artery stenosis in individuals without known coronary artery disease : results from the prospective multicenter ACCURACY(Assessment by Coronary Computed Tomographic Angiography of Individuals Undergoing Invasive Coronary Angiography)trial" 52 : 1724-1732, 2008

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      59 Meijboom WB, "Diagnostic accuracy of 64-slice computed tomography coronary angiography : a prospective, multicenter, multivendor study" 52 : 2135-2144, 2008

      60 Koo BK, "Diagnosis of ischemia-causing coronary stenoses by noninvasive fractional flow reserve computed from coronary computed tomographic angiograms. Results from the prospective multicenter DISCOVER-FLOW(Diagnosis of Ischemia-Causing Stenoses Obtained Via Noninvasive Fractional Flow Reserve)study" 58 : 1989-1997, 2011

      61 Saremi F, "Coronary plaque characterization using CT" 204 : W249-260, 2015

      62 Bittner DO, "Coronary computed tomography angiography-specific definitions of high-risk plaque features improve detection of acute coronary syndrome" 11 : e007657-, 2018

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      64 Williams MC, "Coronary artery plaque characteristics associated with adverse outcomes in the SCOT-HEART Study" 73 : 291-301, 2019

      65 Scheske JA, "Coronary artery imaging with single-source rapid kilovolt peak-switching dual-energy CT" 268 : 702-709, 2013

      66 Maroules CD, "Coronary artery disease reporting and data system(CAD-RADSTM) : Inter-observer agreement for assessment categories and modifiers" 12 : 125-130, 2018

      67 Symons R, "Coronary artery calcium scoring with photon-counting CT : first in vivo human experience" 35 : 733-739, 2019

      68 Choi G, "Coronary artery axial plaque stress and its relationship with lesion geometry : application of computational fluid dynamics to coronary CT angiography" 8 : 1156-1166, 2015

      69 Dweck MR, "Coronary arterial 18F-sodium fluoride uptake : a novel marker of plaque biology" 59 : 1539-1548, 2012

      70 Hoffmann U, "Coronary CT angiography versus standard evaluation in acute chest pain" 367 : 299-308, 2012

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      72 Motoyama S, "Computed tomographic angiography characteristics of atherosclerotic plaques subsequently resulting in acute coronary syndrome" 54 : 49-57, 2009

      73 Taylor CA, "Computational fluid dynamics applied to cardiac computed tomography for noninvasive quantification of fractional flow reserve : scientific basis" 61 : 2233-2241, 2013

      74 Meijboom WB, "Comprehensive assessment of coronary artery stenoses : computed tomography coronary angiography versus conventional coronary angiography and correlation with fractional flow reserve in patients with stable angina" 52 : 636-643, 2008

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      76 Douglas PS, "Clinical outcomes of fractional flow reserve by computed tomographic angiography-guided diagnostic strategies vs. usual care in patients with suspected coronary artery disease : the prospective longitudinal trial of FFR(CT) : outcome and resource impacts study" 36 : 3359-3367, 2015

      77 Kolossváry M, "Cardiac computed tomography radiomics : a comprehensive review on radiomic techniques" 33 : 26-34, 2018

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      79 Øvrehus KA, "CT-based total vessel plaque analyses improves prediction of hemodynamic significance lesions as assessed by fractional flow reserve in patients with stable angina pectoris" 12 : 344-349, 2018

      80 SCOT-HEART investigators, "CT coronary angiography in patients with suspected angina due to coronary heart disease(SCOT-HEART) : an open-label, parallel-group, multicentre trial" 385 : 2383-2391, 2015

      81 Litt HI, "CT angiography for safe discharge of patients with possible acute coronary syndromes" 366 : 1393-1403, 2012

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      83 Boogers MJ, "Automated quantification of stenosis severity on 64-slice CT : a comparison with quantitative coronary angiography" 3 : 699-709, 2010

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      85 Motoyama S, "Atherosclerotic plaque characterization by 0. 5-mm-slice multislice computed tomographic imaging" 71 : 363-366, 2007

      86 Tonino PA, "Angiographic versus functional severity of coronary artery stenoses in the FAME study fractional flow reserve versus angiography in multivessel evaluation" 55 : 2816-2821, 2010

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      88 Itu L, "A machine-learning approach for computation of fractional flow reserve from coronary computed tomography" 121 : 42-52, 2016

      89 Task Force MembersMontalescot G, "2013 ESC guidelines on the management of stable coronary artery disease : the Task Force on the management of stable coronary artery disease of the European Society of Cardiology" 34 : 2949-3003, 2013

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      2008-05-15 학회명변경 한글명 : 대한순환기학회 -> 대한심장학회
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