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HOW TO UTILIZE CORONARY COMPUTED TOMOGRAPHY ANGIOGRAPHY IN THE TREATMENT OF CORONARY ARTERY DISEASE

  • Kim, Hyung-Yoon (Department of Internal Medicine, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine) ;
  • Choi, Jin-Ho (Department of Internal Medicine, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine)
  • Received : 2015.10.12
  • Accepted : 2015.12.07
  • Published : 2015.12.27

Abstract

Coronary computed tomography angiography (CCTA) has high negative predictive power for detecting coronary artery disease. However CCTA is limited by moderate positive predictive power in the detection of myocardial ischemia. This is not unexpected because the diameter of a stenosis is a poor indicator of myocardial ischemia and discrepancy between the severity of stenosis and noninvasive tests is not uncommon. The value of stenosis for predicting future development of acute coronary syndrome represented by plaque rupture has been questioned. CCTA identifies the characteristics of high-risk plaque including positive remodeling, low density plaque and spotty or micro-calcification. Also, additional evaluation of myocardial ischemia using computational flow dynamics, and luminal attenuation gradient are expected to increase both diagnostic performance for hemodynamically significant stenosis and the predictive power for future cardiovascular risk. Technical advances in CCTA would enable evaluation of both coronary artery stenosis and myocardial ischemia simultaneously with high predictive performance, and would improve vastly the clinical value of CCTA.

Keywords

References

  1. Sandfort V, Lima JA, Bluemke DA. Noninvasive imaging of atherosclerotic plaque progression: status of coronary computed tomography angiography. Circ Cardiovasc Imaging 2015;8:e003316. https://doi.org/10.1161/CIRCIMAGING.115.003316
  2. Laslett LJ, Alagona P Jr, Clark BA 3rd, Drozda JP Jr, Saldivar F, Wilson SR, Poe C, Hart M. The worldwide environment of cardiovascular disease: prevalence, diagnosis, therapy, and policy issues: a report from the American College of Cardiology. J Am Coll Cardiol 2012;60(25 Suppl):S1-49. https://doi.org/10.1016/j.jacc.2012.11.002
  3. Fokkema ML, James SK, Albertsson P, Akerblom A, Calais F, Eriksson P, Jensen J, Nilsson T, de Smet BJ, Sjogren I, Thorvinger B, Lagerqvist B. Population trends in percutaneous coronary intervention: 20-year results from the SCAAR (Swedish Coronary Angiography and Angioplasty Registry). J Am Coll Cardiol 2013;61:1222-30. https://doi.org/10.1016/j.jacc.2013.01.007
  4. Stone GW, Maehara A, Lansky AJ, de Bruyne B, Cristea E, Mintz GS, Mehran R, McPherson J, Farhat N, Marso SP, Parise H, Templin B, White R, Zhang Z, Serruys PW; PROSPECT Investigators. A prospective natural-history study of coronary atherosclerosis. N Engl J Med 2011;364:226-35. https://doi.org/10.1056/NEJMoa1002358
  5. Goldstein JA, Demetriou D, Grines CL, Pica M, Shoukfeh M, O’Neill WW. Multiple complex coronary plaques in patients with acute myocardial infarction. N Engl J Med 2000;343:915-22. https://doi.org/10.1056/NEJM200009283431303
  6. Patel MR, Peterson ED, Dai D, Brennan JM, Redberg RF, Anderson HV, Brindis RG, Douglas PS. Low diagnostic yield of elective coronary angiography. N Engl J Med 2010;362:886-95. https://doi.org/10.1056/NEJMoa0907272
  7. Voros S, Rinehart S, Vazquez-Figueroa JG, Kalynych A, Karmpaliotis D, Qian Z, Joshi PH, Anderson H, Murrieta L, Wilmer C, Carlson H, Ballard W, Brown C. Prospective, head-to-head comparison of quantitative coronary angiography, quantitative computed tomography angiography, and intravascular ultrasound for the prediction of hemodynamic significance in intermediate and severe lesions, using fractional flow reserve as reference standard (from the ATLANTA I and II Study). Am J Cardiol 2014;113:23-9. https://doi.org/10.1016/j.amjcard.2013.09.010
  8. Doh JH, Koo BK, Nam CW, Kim JH, Min JK, Nakazato R, Silalahi T, Prawira H, Choi H, Lee SY, Namgung J, Kwon SU, Kwak JJ, Lee WR. Diagnostic value of coronary CT angiography in comparison with invasive coronary angiography and intravascular ultrasound in patients with intermediate coronary artery stenosis: results from the prospective multicentre FIGURE-OUT (Functional Imaging criteria for GUiding REview of invasive coronary angiOgraphy, intravascular Ultrasound, and coronary computed Tomographic angiography) study. Eur Heart J Cardiovasc Imaging 2014;15:870-7. https://doi.org/10.1093/ehjci/jeu009
  9. Min JK, Shaw LJ, Berman DS. The present state of coronary computed tomography angiography a process in evolution. J Am Coll Cardiol 2010;55:957-65. https://doi.org/10.1016/j.jacc.2009.08.087
  10. Cho I, Shim J, Chang HJ, Sung JM, Hong Y, Shim H, Kim YJ, Choi BW, Min JK, Kim JY, Shim CY, Hong GR, Chung N. Prognostic value of multidetector coronary computed tomography angiography in relation to exercise electrocardiogram in patients with suspected coronary artery disease. J Am Coll Cardiol 2012;60:2205-15. https://doi.org/10.1016/j.jacc.2012.08.981
  11. Yerramasu A, Lahiri A, Venuraju S, Dumo A, Lipkin D, Underwood SR, Rakhit RD, Patel DJ. Diagnostic role of coronary calcium scoring in the rapid access chest pain clinic: prospective evaluation of NICE guidance. Eur Heart J Cardiovasc Imaging 2014;15:886-92. https://doi.org/10.1093/ehjci/jeu011
  12. Heydari B, Leipsic J, Mancini GB, Min JK, Labounty T, Taylor C, Freue GV, Heilbron B. Diagnostic performance of high-definition coronary computed tomography angiography performed with multiple radiation dose reduction strategies. Can J Cardiol 2011;27:606-12. https://doi.org/10.1016/j.cjca.2010.12.026
  13. Budoff MJ, Dowe D, Jollis JG, Gitter M, Sutherland J, Halamert E, Scherer M, Bellinger R, Martin A, Benton R, Delago A, Min JK. 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. J Am Coll Cardiol 2008;52:1724-32. https://doi.org/10.1016/j.jacc.2008.07.031
  14. Nakazato R, Heo R, Leipsic J, Min JK. CFR and FFR assessment with PET and CTA: strengths and limitations. Curr Cardiol Rep 2014;16:484. https://doi.org/10.1007/s11886-014-0484-5
  15. Meijboom WB, Van Mieghem CA, van Pelt N, Weustink A, Pugliese F, Mollet NR, Boersma E, Regar E, van Geuns RJ, de Jaegere PJ, Serruys PW, Krestin GP, de Feyter PJ. 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. J Am Coll Cardiol 2008;52:636-43. https://doi.org/10.1016/j.jacc.2008.05.024
  16. Hoffmann U, Bamberg F, Chae CU, Nichols JH, Rogers IS, Seneviratne SK, Truong QA, Cury RC, Abbara S, Shapiro MD, Moloo J, Butler J, Ferencik M, Lee H, Jang IK, Parry BA, Brown DF, Udelson JE, Achenbach S, Brady TJ, Nagurney JT. Coronary computed tomography angiography for early triage of patients with acute chest pain: the ROMICAT (Rule Out Myocardial Infarction using Computer Assisted Tomography) trial. J Am Coll Cardiol 2009;53:1642-50. https://doi.org/10.1016/j.jacc.2009.01.052
  17. Jang JJ, Krishnaswami A, Hung YY. Predictive values of Framingham risk and coronary artery calcium scores in the detection of obstructive CAD in patients with normal SPECT. Angiology 2012;63:275-81. https://doi.org/10.1177/0003319711415392
  18. Wasfy MM, Brady TJ, Abbara S, Nasir K, Ghoshhajra BB, Truong QA, Hoffmann U, Di Carli MF, Blankstein R. Comparison of the Diamond-Forrester method and Duke Clinical Score to predict obstructive coronary artery disease by computed tomographic angiography. Am J Cardiol 2012;109:998-1004. https://doi.org/10.1016/j.amjcard.2011.11.028
  19. Bhatia LC, Naik RH. Clinical profile of acute myocardial infarction in elderly patients. J Cardiovasc Dis Res 2013;4:107-11. https://doi.org/10.1016/j.jcdr.2012.07.003
  20. Sheifer SE, Gersh BJ, Yanez ND 3rd, Ades PA, Burke GL, Manolio TA. Prevalence, predisposing factors, and prognosis of clinically unrecognized myocardial infarction in the elderly. J Am Coll Cardiol 2000;35:119-26. https://doi.org/10.1016/S0735-1097(99)00524-0
  21. Grimm RH Jr, Tillinghast S, Daniels K, Neaton JD, Mascioli S, Crow R, Pritzker M, Prineas RJ. Unrecognized myocardial infarction: experience in the Multiple Risk Factor Intervention Trial (MRFIT). Circulation 1987;75(3 Pt 2):II6-8.
  22. Heyne JP, Goernig M, Feger J, Kurrat C, Werner GS, Figulla HR, Kaiser WA. Impact on adenosine stress cardiac magnetic resonance for recanalisation and follow up of chronic total coronary occlusions. Eur J Radiol 2007;63:384-90. https://doi.org/10.1016/j.ejrad.2007.02.004
  23. Choi JH, Chang SA, Choi JO, Song YB, Hahn JY, Choi SH, Lee SC, Lee SH, Oh JK, Choe Y, Gwon HC. Frequency of myocardial infarction and its relationship to angiographic collateral flow in territories supplied by chronically occluded coronary arteries. Circulation 2013;127:703-9. https://doi.org/10.1161/CIRCULATIONAHA.112.092353
  24. Nakazato R, Otake H, Konishi A, Iwasaki M, Koo BK, Fukuya H, Shinke T, Hirata K, Leipsic J, Berman DS, Min JK. Atherosclerotic plaque characterization by CT angiography for identification of high-risk coronary artery lesions: a comparison to optical coherence tomography. Eur Heart J Cardiovasc Imaging 2015;16:373-9. https://doi.org/10.1093/ehjci/jeu188
  25. Yamamoto H, Kitagawa T, Ohashi N, Utsunomiya H, Kunita E, Oka T, Urabe Y, Tsushima H, Awai K, Kihara Y. Noncalcified atherosclerotic lesions with vulnerable characteristics detected by coronary CT angiography and future coronary events. J Cardiovasc Comput Tomogr 2013;7:192-9. https://doi.org/10.1016/j.jcct.2013.05.008
  26. Arbab-Zadeh A, Fuster V. The myth of the "vulnerable plaque": transitioning from a focus on individual lesions to atherosclerotic disease burden for coronary artery disease risk assessment. J Am Coll Cardiol 2015;65:846-55. https://doi.org/10.1016/j.jacc.2014.11.041
  27. Puchner SB, Liu T, Mayrhofer T, Truong QA, Lee H, Fleg JL, Nagurney JT, Udelson JE, Hoffmann U, Ferencik M. 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. J Am Coll Cardiol 2014;64:684-92. https://doi.org/10.1016/j.jacc.2014.05.039
  28. Thomas DM, Divakaran S, Villines TC, Nasir K, Shah NR, Slim AM, Blankstein R, Cheezum MK. Management of coronary artery calcium and coronary cta findings. Curr Cardiovasc Imaging Rep 2015;8:18. https://doi.org/10.1007/s12410-015-9334-0
  29. Opolski MP, Kepka C, Achenbach S, Pregowski J, Kruk M, Staruch AD, Kadziela J, Ruzyllo W, Witkowski A. Advanced computed tomographic anatomical and morphometric plaque analysis for prediction of fractional flow reserve in intermediate coronary lesions. Eur J Radiol 2014;83:135-41. https://doi.org/10.1016/j.ejrad.2013.10.005
  30. Hachamovitch R, Berman DS, Shaw LJ, Kiat H, Cohen I, Cabico JA, Friedman J, Diamond GA. Incremental prognostic value of myocardial perfusion single photon emission computed tomography for the prediction of cardiac death: differential stratification for risk of cardiac death and myocardial infarction. Circulation 1998;97:535-43. https://doi.org/10.1161/01.CIR.97.6.535
  31. Pijls NH, van Schaardenburgh P, Manoharan G, Boersma E, Bech JW, van’t Veer M, Bar F, Hoorntje J, Koolen J, Wijns W, de Bruyne B. Percutaneous coronary intervention of functionally nonsignificant stenosis: 5-year follow-up of the DEFER Study. J Am Coll Cardiol 2007;49:2105-11. https://doi.org/10.1016/j.jacc.2007.01.087
  32. Douglas PS, Hoffmann U, Patel MR, Mark DB, Al-Khalidi HR, Cavanaugh B, Cole J, Dolor RJ, Fordyce CB, Huang M, Khan MA, Kosinski AS, Krucoff MW, Malhotra V, Picard MH, Udelson JE, Velazquez EJ, Yow E, Cooper LS, Lee KL; PROMISE Investigators .Outcomes of anatomical versus functional testing for coronary artery disease. N Engl J Med 2015;372:1291-300. https://doi.org/10.1056/NEJMoa1415516
  33. Tonino PA, De Bruyne B, Pijls NH, Siebert U, Ikeno F, van’t Veer M, Klauss V, Manoharan G, Engstrom T, Oldroyd KG, Ver Lee PN, MacCarthy PA, Fearon WF; FAME Study Investigators. Fractional flow reserve versus angiography for guiding percutaneous coronary intervention. N Engl J Med 2009;360:213-24. https://doi.org/10.1056/NEJMoa0807611
  34. Ko BS, Cameron JD, Meredith IT, Leung M, Antonis PR, Nasis A, Crossett M, Hope SA, Lehman SJ, Troupis J, DeFrance T, Seneviratne SK. Computed tomography stress myocardial perfusion imaging in patients considered for revascularization: a comparison with fractional flow reserve. Eur Heart J 2012;33:67-77. https://doi.org/10.1093/eurheartj/ehr268
  35. Choo KS, Hwangbo L, Kim JH, Park YH, Kim JS, Kim J, Chun KJ, Jeong DW, Lim SJ. Adenosine-stress low-dose single-scan CT myocardial perfusion imaging using a 128-slice dual-source CT: a comparison with fractional flow reserve. Acta Radiol 2013;54:389-95. https://doi.org/10.1177/0284185113475440
  36. Greif M, von Ziegler F, Bamberg F, Tittus J, Schwarz F, D’Anastasi M, Marcus RP, Schenzle J, Becker C, Nikolaou K, Becker A. CT stress perfusion imaging for detection of haemodynamically relevant coronary stenosis as defined by FFR. Heart 2013;99:1004-11. https://doi.org/10.1136/heartjnl-2013-303794
  37. Taylor CA, Fonte TA, Min JK. Computational fluid dynamics applied to cardiac computed tomography for noninvasive quantification of fractional flow reserve: scientific basis. J Am Coll Cardiol 2013;61:2233-41. https://doi.org/10.1016/j.jacc.2012.11.083
  38. Kim KH, Doh JH, Koo BK, Min JK, Erglis A, Yang HM, Park KW, Lee HY, Kang HJ, Kim YJ, Lee SY, Kim HS. A novel noninvasive technology for treatment planning using virtual coronary stenting and computed tomography-derived computed fractional flow reserve. JACC Cardiovasc Interv 2014;7:72-8. https://doi.org/10.1016/j.jcin.2013.05.024
  39. Wong DT, Ko BS, Cameron JD, Nerlekar N, Leung MC, Malaiapan Y, Crossett M, Leong DP, Worthley SG, Troupis J, Meredith IT, Seneviratne SK. Transluminal attenuation gradient in coronary computed tomography angiography is a novel noninvasive approach to the identification of functionally significant coronary artery stenosis: a comparison with fractional flow reserve. J Am Coll Cardiol 2013;61:1271-9. https://doi.org/10.1016/j.jacc.2012.12.029
  40. Stuijfzand WJ, Danad I, Raijmakers PG, Marcu CB, Heymans MW, van Kuijk CC, van Rossum AC, Nieman K, Min JK, Leipsic J, van Royen N, Knaapen P. Additional value of transluminal attenuation gradient in CT angiography to predict hemodynamic significance of coronary artery stenosis. JACC Cardiovasc Imaging 2014;7:374-86. https://doi.org/10.1016/j.jcmg.2013.12.013
  41. Choi AD, Joly JM, Chen MY, Weigold WG. Physiologic evaluation of ischemia using cardiac CT: current status of CT myocardial perfusion and CT fractional flow reserve. J Cardiovasc Comput Tomogr 2014;8:272-81. https://doi.org/10.1016/j.jcct.2014.06.006
  42. Gonzalez JA, Lipinski MJ, Flors L, Shaw PW, Kramer CM, Salerno M. Meta-Analysis of Diagnostic Performance of Coronary Computed Tomography Angiography, Computed Tomography Perfusion, and Computed Tomography-Fractional Flow Reserve in Functional Myocardial Ischemia Assessment Versus Invasive Fractional Flow Reserve. Am J Cardiol 2015;116:1469-78. https://doi.org/10.1016/j.amjcard.2015.07.078
  43. Magalhaes TA, Kishi S, George RT, Arbab-Zadeh A, Vavere AL, Cox C, Matheson MB, Miller JM, Brinker J, Di Carli M, Rybicki FJ, Rochitte CE, Clouse ME, Lima JA. Combined coronary angiography and myocardial perfusion by computed tomography in the identification of flow-limiting stenosis - The CORE320 study: an integrated analysis of CT coronary angiography and myocardial perfusion. J Cardiovasc Comput Tomogr 2015;9:438-45. https://doi.org/10.1016/j.jcct.2015.03.004
  44. Graham MM, Faris PD, Ghali WA, Galbraith PD, Norris CM, Badry JT, Mitchell LB, Curtis MJ, Knudtson ML; APPROACH Investigators (Alberta Provincial Project for Outcome Assessment in Coronary Heart Disease). Validation of three myocardial jeopardy scores in a population-based cardiac catheterization cohort. Am Heart J 2001;142:254-61. https://doi.org/10.1067/mhj.2001.116481
  45. Califf RM, Phillips HR 3rd, Hindman MC, Mark DB, Lee KL, Behar VS, Johnson RA, Pryor DB, Rosati RA, Wagner GS. Prognostic value of a coronary artery jeopardy score. J Am Coll Cardiol 1985;5:1055-63. https://doi.org/10.1016/S0735-1097(85)80005-X
  46. Ortiz-Perez JT, Meyers SN, Lee DC, Kansal P, Klocke FJ, Holly TA, Davidson CJ, Bonow RO, Wu E. Angiographic estimates of myocardium at risk during acute myocardial infarction: validation study using cardiac magnetic resonance imaging. Eur Heart J 2007;28:1750-8. https://doi.org/10.1093/eurheartj/ehm212
  47. Brandt PW, Partridge JB, Wattie WJ. Coronary arteriography; method of presentation of the arteriogram report and a scoring system. Clin Radiol 1977;28:361-5. https://doi.org/10.1016/S0009-9260(77)80140-2
  48. Cremer P, Hachamovitch R. Assessing the prognostic implications of myocardial perfusion studies: identification of patients at risk vs patients who may benefit from intervention? Curr Cardiol Rep 2014;16:472. https://doi.org/10.1007/s11886-014-0472-9
  49. Iskandrian AE, Hage FG, Shaw LJ, Mahmarian JJ, Berman DS. Serial myocardial perfusion imaging: defining a significant change and targeting management decisions. JACC Cardiovasc Imaging 2014;7:79-96. https://doi.org/10.1016/j.jcmg.2013.05.022
  50. Doukky R, Hayes K, Frogge N, Balakrishnan G, Dontaraju VS, Rangel MO, Golzar Y, Garcia-Sayan E, Hendel RC. Impact of appropriate use on the prognostic value of single-photon emission computed tomography myocardial perfusion imaging. Circulation 2013;128:1634-43. https://doi.org/10.1161/CIRCULATIONAHA.113.002744

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