Current Progress of Studies of Coronary CT for Risk Prediction of Major Adverse Cardiovascular Event (MACE)

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참고문헌 (59)

1. GBD 2017 Causes of Death Collaborators, "Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980-2017: a systematic analysis for the Global Burden of Disease Study 2017", Lancet, 392, pp.1736~1788 (2018)
2. Budoff MJ, "Ten-year association of coronary artery calcium with atherosclerotic cardiovascular disease(ASCVD)events : the multi-ethnic study of atherosclerosis(MESA)", Eur Heart J, 39, pp.2401~2408 (2018)
3. Lo-Kioeng-Shioe MS, "Prognostic value of coronary artery calcium score in symptomatic individuals: a meta-analysis of 34,000 subjects", Int J Cardiol, 299, pp.56~62 (2020)
4. Khera A, "Astronaut cardiovascular health and risk modification(Astro-CHARM)coronary calcium atherosclerotic cardiovascular disease risk calculator", Circulation, 138, pp.1819~1827 (2018)
5. Mahabadi AA, "CAC score improves coronary and CV risk assessment above statin indication by ESC and AHA", ACC primary prevention guidelines, 2017, pp.10, 143~153
6. Blaha MJ, "Role of coronary artery calcium score of zero and other negative risk markers for cardiovascular disease : the multi-ethnic study of atherosclerosis(MESA)", Circulation, 133, pp.849~858 (2016)
7. Kavousi M, "Prevalence and prognostic implications of coronary artery calcification in low-risk women : a meta-analysis", JAMA, 316, pp.2126~2134 (2016)
8. Lehmann N, "Value of progression of coronary artery calcification for risk prediction of coronary and cardiovascular events : result of the HNR study(Heinz Nixdorf Recall)", Circulation, 137, pp.665~679 (2018)
9. Arnett DK, "2019 ACC", AHA guideline on the primary prevention of cardiovascular disease: a report of the American College of Cardiology, Circulation, pp.2019, 140[DOI]
10. Gupta A, "The identification of calcified coronary plaque is associated with initiation and continuation of pharmacological and lifestyle preventive therapies : a systematic review and meta-analysis", JACC Cardiovasc Imaging, 10, pp.833~842 (2017)
11. Cainzos-Achirica M, "Coronary artery calcium for personalized allocation of aspirin in primary prevention of cardiovascular disease in 2019 : the MESA study(Multi-Ethnic Study of Atherosclerosis)", Circulation, 141, pp.1541~1553 (2020)
12. McEvoy JW, "Coronary artery calcium to guide a personalized risk-based approach to initiation and intensification of antihypertensive therapy", Circulation, 135, pp.153~165 (2017)
13. Criqui MH, "Coronary artery calcium volume and density : potential interactions and overall predictive value : the multi-ethnic study of atherosclerosis", JACC Cardiovasc Imaging, 10, pp.845~854 (2017)
14. van Rosendael AR, "Association of high-density calcified 1k plaque with risk of acute coronary syndrome", JAMA Cardiol, 5, pp.282~290 (2020)
15. Blaha MJ, "Improving the CAC score by addition of regional measures of calcium distribution : multi-ethnic study of atherosclerosis", JACC Cardiovasc Imaging, 9, pp.1407~1416 (2016)
16. Tota-Maharaj R, "Usefulness of regional distribution of coronary artery calcium to improve the prediction of all-cause mortality", Am J Cardiol, 115, pp.1229~1234 (2015)
17. Min JK, "Prognostic value of multidetector coronary computed tomographic angiography for prediction of all-cause mortality", J Am Coll Cardiol, 50, pp.1161~1170 (2007)
18. Hoffmann U, "Prognostic value of noninvasive cardiovascular testing in patients with stable chest pain : insights from the PROMISE trial(Prospective Multicenter Imaging Study for Evaluation of Chest Pain)", Circulation, 135, pp.2320~2332 (2017)
19. Al-Mallah MH, "Does coronary CT angiography improve risk stratification over coronary calcium scoring in symptomatic patients with suspected coronary artery disease? Results from the prospective multicenter international CONFIRM registry", Eur Heart J Cardiovasc Imaging, 15, pp.267~274 (2014)
20. van Rosendael AR, "Clinical risk factors and atherosclerotic plaque extent to define risk for major events in patients without obstructive coronary artery disease : the long-term coronary computed tomography angiography CONFIRM registry", Eur Heart J Cardiovasc Imaging, 21, pp.479~488 (2020)
21. Ayoub C, "Prognostic value of segment involvement score compared to other measures of coronary atherosclerosis by computed tomography : a systematic review and metaanalysis", J Cardiovasc Comput Tomogr, 11, pp.258~267 (2017)
22. Cury RC, "CAD-RADS(TM) coronary artery disease - reporting and data system. An expert consensus document of the Society of Cardiovascular Computed Tomography (SCCT), the American College of Radiology (ACR) and the North American Society for Cardiovascular Imaging (NASCI). Endorsed by the American College of Cardiology", J Cardiovasc Comput Tomogr, 10, pp.269~281 (2016)
23. Bittner DO, "Prognostic value of coronary CTA in stable chest pain: CADRADS, CAC, and cardiovascular events in PROMISE", JACC Cardiovasc Imaging, 13, pp.1534~1545 (2020)
24. Gu H, "Prognostic value of coronary atherosclerosis progression evaluated by coronary CT angiography in patients with stable angina", Eur Radiol, 28, pp.1066~1076 (2018)
25. Mortensen MB, "Impact of plaque burden versus stenosis on ischemic events in patients with coronary atherosclerosis", J Am Coll Cardiol, 76, pp.2803~2813 (2020)
26. Tesche C, "Prognostic implications of coronary CT angiography-derived quantitative markers for the prediction of major adverse cardiac events", J Cardiovasc Comput Tomogr, 10, pp.458~465 (2016)
27. Yoon Sung Hyun, "Prognostic Value of Coronary CT Angiography for Predicting Poor Cardiac Outcome in Stroke Patients without Known Cardiac Disease or Chest Pain: The Assessment of Coronary Artery Disease in Stroke Patients Study", Korean Journal of Radiology, 21(9), pp.1055~1064 (2020), 대한영상의학회[DOI]
28. Williams MC, "Coronary artery plaque characteristics associated with adverse outcomes in the SCOT-HEART study", J Am Coll Cardiol, 73, pp.291~301 (2019)
29. Feuchtner G, "The high-risk criteria low-attenuation plaque <60 HU and the napkin-ring sign are the most powerful predictors of MACE : a long-term follow-up study", Eur Heart J Cardiovasc Imaging, 18, pp.772~779 (2017)
30. Nadjiri J, "Incremental prognostic value of quantitative plaque assessment in coronary CT angiography during 5 years of follow up", J Cardiovasc Comput Tomogr, 10, pp.97~104 (2016)
31. 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", JAMA Cardiol, 3, pp.144~152 (2018)
32. Senoner T, "Added value of high-risk plaque criteria by coronary CTA for prediction of long-term outcomes", Atherosclerosis, 300, pp.26~33 (2020)
33. Conte E, "Evaluation of coronary plaque characteristics with coronary computed tomography angiography in patients with non-obstructive coronary artery disease : a long-term follow-up study", Eur Heart J Cardiovasc Imaging, 18, pp.1170~1178 (2017)
34. Arbab-Zadeh A, "From detecting the vulnerable plaque to managing the vulnerable patient : JACC state-of-the-art review", J Am Coll Cardiol, 74, pp.1582~1593 (2019)
35. Nissen SE, "Vulnerable plaque and Einstein's definition of insanity", J Am Coll Cardiol, 75, pp.1383~1385 (2020)
36. Wang C, "Characteristics and significance of healed plaques in patients with acute coronary syndrome and stable angina: an in vivo OCT and IVUS study", EuroIntervention, 15, pp.e771~e78 (2019)
37. Motoyama S, "Plaque characterization by coronary computed tomography angiography and the likelihood of acute coronary events in mid-term follow-up", J Am Coll Cardiol, 66, pp.337~346 (2015)
38. Williams MC, "Low-attenuation noncalcified plaque on coronary computed tomography angiography predicts myocardial infarction : results from the multicenter SCOT-HEART trial(Scottish Computed Tomography of the HEART)", Circulation, 141, pp.1452~1462 (2020)
39. Mushtaq S, "Long-term prognostic effect of coronary atherosclerotic burden: validation of the computed tomography-Leaman score", Circ Cardiovasc Imaging, 8, pp.e002332~ (2015)
40. Deseive S, "Improved 5-year prediction of all-cause mortality by coronary CT angiography applying the CONFIRM score", Eur Heart J Cardiovasc Imaging, 18, pp.286~293 (2017)
41. Sinning C, "Angiographic score assessment improves cardiovascular risk prediction : the clinical value of SYNTAX and Gensini application", Clin Res Cardiol, 102, pp.495~503 (2013)
42. Suh YJ, "Prognostic value of SYNTAX score based on coronary computed tomography angiography", Int J Cardiol, 199, pp.460~466 (2015)
43. Oikonomou EK, "Non-invasive detection of coronary inflammation using computed tomography and prediction of residual cardiovascular risk(the CRISP CT study) : a post-hoc analysis of prospective outcome data", Lancet, 392, pp.929~939 (2018)
44. Klein R, "Cardiac CT assessment of left ventricular mass in mid-diastasis and its prognostic value", Eur Heart J Cardiovasc Imaging, 18, pp.95~102 (2017)
45. Mahabadi AA, "Noncoronary measures enhance the predictive value of cardiac CT above traditional risk factors and CAC score in the general population", JACC Cardiovasc Imaging, 9, pp.1177~1185 (2016)
46. Chen MY, "Prognostic value of combined CT angiography and myocardial perfusion imaging versus invasive coronary angiography and nuclear stress perfusion imaging in the prediction of major adverse cardiovascular events : the CORE320 multicenter study", Radiology, 284, pp.55~65 (2017)
47. Nakamura S, "Incremental prognostic value of myocardial blood flow quantified with stress dynamic computed tomography perfusion imaging", JACC Cardiovasc Imaging, 12, pp.1379~1387 (2019)
48. van Assen M, "Prognostic value of CT myocardial perfusion imaging and CT-derived fractional flow reserve for major adverse cardiac events in patients with coronary artery disease", J Cardiovasc Comput Tomogr, 13, pp.26~33 (2019)
49. Nakamura S, "Prognostic value of stress dynamic computed tomography perfusion with computed tomography delayed enhancement", JACC Cardiovasc Imaging, 13, pp.1721~1734 (2020)
50. 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)", J Am Coll Cardiol, 63, pp.1145~1155 (2014)
51. Ihdayhid AR, "Prognostic value and risk continuum of noninvasive fractional flow reserve derived from coronary CT angiography", Radiology, 292, pp.343~351 (2019)
52. 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", Eur Heart J, 39, pp.3701~3711 (2018)
53. Nørgaard BL, "Influence of coronary calcification on the diagnostic performance of CT angiography derived FFR in coronary artery disease : a substudy of the NXT trial", JACC Cardiovasc Imaging, 8, pp.1045~1055 (2015)
54. Cook CM, "Diagnostic accuracy of computed tomography-derived fractional flow reserve : a systematic review", JAMA Cardiol, 2, pp.803~810 (2017)
55. Tesche C, "Coronary CT angiography-derived fractional flow reserve : machine learning algorithm versus computational fluid dynamics modeling", Radiology, 288, pp.64~72 (2018)
56. Eslami P, "Radiomics of coronary artery calcium in the Framingham heart study", Radiol Cardiothorac Imaging, 2, pp.e190119~ (2020)
57. Ambale-Venkatesh B, "Cardiovascular event prediction by machine learning : the multi-ethnic study of atherosclerosis", Circ Res, 121, pp.1092~1101 (2017)
58. Motwani M, "Machine learning for prediction of all-cause mortality in patients with suspected coronary artery disease : a 5-year multicentre prospective registry analysis", Eur Heart J, 38, pp.500~507 (2017)
59. Oikonomou EK, "A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography", Eur Heart J, 40, pp.3529~3543 (2019)

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