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Coronary CT Angiography as a Diagnostic and Prognostic Tool: Perspective from a Multicenter Randomized Controlled Trial: PROMISE

  • Cardiac PET, CT, and MRI (SE Petersen and F Pugliese, Section Editors)
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Abstract

The PROMISE (Prospective multicenter imaging study for evaluation of chest pain) trial compared the effectiveness of coronary CT angiography and functional testing as initial diagnostic test for patients with suspicion for stable coronary artery disease (CAD). With 10,003 patients randomized at 193 sites, the PROMISE trial provides a snapshot of real-world care for this very common presentation. Over a median follow-up of 25 months, PROMISE did not find significant differences in major clinical events (composite endpoint 164 vs. 151, HR 1.04 (0.83–1.29); p = 0.75) between the two strategies. Other major findings were the large discrepancy between estimates of pre-test likelihood and observed prevalence for obstructive CAD (≥50 %) and the proportion of noninvasive tests positive for ischemia or obstructive CAD (53 vs. 11 %; respectively) and the better efficiency of coronary computed tomography angiography (CTA) to select patients for invasive coronary angiography (ICA) who had obstructive CAD (72 vs. 48 % for coronary CTA and functional testing, respectively). Radiation exposure was higher in the CT arm compared to all functional testing but lower than for nuclear perfusion stress testing. Improvement of patient selection for diagnostic testing and risk stratification will be keys to increase efficacy and efficiency of management of patients with suspicion for stable CAD.

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Abbreviations

95%CI:

95 % confidence interval

CAD:

Coronary artery disease

CTA:

CT angiography

CVD:

Cardiovascular disease

FFR:

Fractional flow reserve

HR:

Hazard ratio

ICA:

Invasive coronary angiography

MACE:

Major adverse cardiac event

OMT:

Optimal medical therapy

PCI:

Percutaneous coronary intervention

References

Papers of particular interest, published recently, have been highlighted as: • Of importance •• Of major importance

  1. Cherry DK, Woodwell DA, Rechtsteiner EA. National ambulatory medical care survey: 2005 summary. Adv Data. 2007;2007(387):1–39.

    Google Scholar 

  2. Miller JM, Rochitte CE, Dewey M, et al. Diagnostic performance of coronary angiography by 64-row CT. N Engl J Med. 2008;359(22):2324–36.

    Article  CAS  PubMed  Google Scholar 

  3. Fihn SD, Gardin JM, Abrams J, et al. 2012 ACCF/AHA/ACP/AATS/PCNA/SCAI/STS guideline for the diagnosis and management of patients with stable ischemic heart disease: a report of the American College of Cardiology Foundation/American Heart Association task force on practice guidelines, and the American College of Physicians, American Association for Thoracic Surgery, Preventive Cardiovascular Nurses Association, Society for Cardiovascular Angiography and Interventions, and Society of Thoracic Surgeons. Circulation. 2012;126(25):e354–471.

    Article  PubMed  Google Scholar 

  4. Patel MR, Peterson ED, Dai D, et al. Low diagnostic yield of elective coronary angiography. N Engl J Med. 2010;362(10):886–95.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Budoff MJ, Dowe D, Jollis JG, et al. 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(21):1724–32.

    Article  PubMed  Google Scholar 

  6. Meijboom WB, Meijs MF, Schuijf JD, et al. Diagnostic accuracy of 64-slice computed tomography coronary angiography: a prospective, multicenter, multivendor study. J Am Coll Cardiol. 2008;52(25):2135–44.

    Article  PubMed  Google Scholar 

  7. Janne d’Othée B, Siebert U, Cury R, Jadvar H, Dunn EJ, Hoffmann U. A systematic review on diagnostic accuracy of CT-based detection of significant coronary artery disease. Eur J Radiol. 2008;65(3):449–61.

    Article  PubMed  Google Scholar 

  8. Ostrom MP, Gopal A, Ahmadi N, et al. Mortality incidence and the severity of coronary atherosclerosis assessed by computed tomography angiography. J Am Coll Cardiol. 2008;52(16):1335–43.

    Article  PubMed  Google Scholar 

  9. Hadamitzky M, Taubert S, Deseive S, et al. Prognostic value of coronary computed tomography angiography during 5 years of follow-up in patients with suspected coronary artery disease. Eur Heart J. 2013;34(42):3277–85.

    Article  PubMed  Google Scholar 

  10. Bamberg F, Sommer WH, Hoffmann V, et al. Meta-analysis and systematic review of the long-term predictive value of assessment of coronary atherosclerosis by contrast-enhanced coronary computed tomography angiography. J Am Coll Cardiol. 2011;57(24):2426–36.

    Article  PubMed  Google Scholar 

  11. Habib PJ, Green J, Butterfield RC, et al. Association of cardiac events with coronary artery disease detected by 64-slice or greater coronary CT angiography: a systematic review and meta-analysis. Int J Cardiol. 2013;169(2):112–20.

    Article  PubMed  Google Scholar 

  12. Min JK, Shaw LJ, Devereux RB, et al. Prognostic value of multidetector coronary computed tomographic angiography for prediction of all-cause mortality. J Am Coll Cardiol. 2007;50(12):1161–70.

    Article  PubMed  Google Scholar 

  13. Min JK, Dunning A, Lin FY, et al. Age- and sex-related differences in all-cause mortality risk based on coronary computed tomography angiography findings results from the International Multicenter CONFIRM (Coronary CT Angiography Evaluation for Clinical Outcomes: An International Multicenter Registry) of 23,854 patients without known coronary artery disease. J Am Coll Cardiol. 2011;58(8):849–60.

    Article  PubMed  Google Scholar 

  14. Levin DC, Parker L, Halpern EJ, Julsrud PR, Rao VM. The lack of growth in use of coronary CT angiography: is it being appropriately used? AJR Am J Roentgenol.196(4):862–867

  15. Shreibati JB, Baker LC, Hlatky MA. Association of coronary CT angiography or stress testing with subsequent utilization and spending among Medicare beneficiaries. JAMA. 2011;306:2128–36.

    Article  CAS  PubMed  Google Scholar 

  16. Douglas PS, Hoffmann U, Patel MR, et al. Outcomes of anatomical versus functional testing for coronary artery disease. N Engl J Med. 2015;372(14):1291–300. Randomized comparative effectiveness trial providing a snapshot of contemporary cardiology practice of noninvasive imaging in stable chest pain in the US.

  17. Douglas PS, Hoffmann U, Lee KL, et al. PROspective Multicenter Imaging Study for Evaluation of chest pain: rationale and design of the PROMISE trial. Am Heart J. 2014;167(6):796–803.e791.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Cheng VY, Berman DS, Rozanski A, et al. Performance of the traditional age, sex, and angina typicality-based approach for estimating pretest probability of angiographically significant coronary artery disease in patients undergoing coronary computed tomographic angiography: results from the multinational coronary CT angiography evaluation for clinical outcomes: an international multicenter registry (CONFIRM). Circulation. 2011;124(22):2423–32. 2421–2428.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Diamond GA, Forrester JS. Analysis of probability as an aid in the clinical diagnosis of coronary-artery disease. N Engl J Med. 1979;300(24):1350–8.

    Article  CAS  PubMed  Google Scholar 

  20. National Center for Health Statistics. Health, United States, 2012: with special feature on emergency care. Hyattsville (MD): National Center for Health Statistics (US); 2013 May. Report No.: 2013–1232.2013

  21. Go AS, Mozaffarian D, Roger VL, et al. Heart disease and stroke statistics–2014 update: a report from the American Heart Association. Circulation. 2014;129(3):e28–292.

    Article  PubMed  Google Scholar 

  22. Genders TS, Steyerberg EW, Hunink MG, et al. Prediction model to estimate presence of coronary artery disease: retrospective pooled analysis of existing cohorts. BMJ. 2012;344, e3485.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Min JK, Dunning A, Gransar H, et al. Medical history for prognostic risk assessment and diagnosis of stable patients with suspected coronary artery disease. Am J Med. 2015

  24. Genders TS, Steyerberg EW, Alkadhi H, et al. A clinical prediction rule for the diagnosis of coronary artery disease: validation, updating, and extension. Eur Heart J. 2011;32(11):1316–30.

    Article  PubMed  Google Scholar 

  25. Health Quality O. Non-invasive cardiac imaging technologies for the diagnosis of coronary artery disease: a summary of evidence-based analyses. Ont Health Technol Assess Ser. 2010;10(7):1–40.

    Google Scholar 

  26. Mudrick DW, Cowper PA, Shah BR, et al. Downstream procedures and outcomes after stress testing for chest pain without known coronary artery disease in the United States. Am Heart J. 2012;163(3):454–61.

    Article  PubMed  Google Scholar 

  27. S-H investigators. CT coronary angiography in patients with suspected angina due to coronary heart disease (SCOT-HEART): an open-label, parallel-group, multicentre trial. Lancet. 2015;385(9985):2383–91.

    Article  Google Scholar 

  28. Hoffmann U, Truong QA, Schoenfeld DA, et al. Coronary CT angiography versus standard evaluation in acute chest pain. N Engl J Med. 2012;367(4):299–308.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Litt HI, Gatsonis C, Snyder B, et al. CT angiography for safe discharge of patients with possible acute coronary syndromes. N Engl J Med. 2012;366(15):1393–403.

    Article  CAS  PubMed  Google Scholar 

  30. Goldstein JA, Chinnaiyan KM, Abidov A, et al. The CT-STAT (Coronary Computed Tomographic Angiography for Systematic Triage of Acute Chest Pain Patients to Treatment) trial. J Am Coll Cardiol. 2011;58(14):1414–22.

    Article  PubMed  Google Scholar 

  31. Little WC, Constantinescu M, Applegate RJ, et al. Can coronary angiography predict the site of a subsequent myocardial infarction in patients with mild-to-moderate coronary artery disease? Circulation. 1988;78(5 Pt 1):1157–66.

    Article  CAS  PubMed  Google Scholar 

  32. Ambrose JA, Tannenbaum MA, Alexopoulos D, et al. Angiographic progression of coronary artery disease and the development of myocardial infarction. J Am Coll Cardiol. 1988;12(1):56–62.

    Article  CAS  PubMed  Google Scholar 

  33. Stone GW, Maehara A, Lansky AJ, et al. A prospective natural-history study of coronary atherosclerosis. N Engl J Med.364(3):226–235. Landmark study supporting the concept of high risk plaque originating from non-culprit lesions using IVUS.

  34. Papadopoulou S-L, Garcia-Garcia HM, Rossi A, et al. Reproducibility of computed tomography angiography data analysis using semiautomated plaque quantification software: implications for the design of longitudinal studies. Int J Cardiovasc Imaging. 2013;29:1095–104.

    Article  PubMed  Google Scholar 

  35. Kashiwagi M, Tanaka A, Kitabata H, et al. Feasibility of noninvasive assessment of thin-cap fibroatheroma by multidetector computed tomography. JACC Cardiovasc Imaging. 2009;2:1412–9.

    Article  PubMed  Google Scholar 

  36. Leber AW, Knez A, Becker A, et al. Accuracy of multidetector spiral computed tomography in identifying and differentiating the composition of coronary atherosclerotic plaques: a comparative study with intracoronary ultrasound. J Am Coll Cardiol. 2004;43:1241–7.

    Article  PubMed  Google Scholar 

  37. Marwan M, Taher MA, El Meniawy K, et al. In vivo CT detection of lipid-rich coronary artery atherosclerotic plaques using quantitative histogram analysis: a head to head comparison with IVUS. Atherosclerosis. 2011;215:110–5.

    Article  CAS  PubMed  Google Scholar 

  38. Otsuka M, Bruining N, Van Pelt NC, et al. Quantification of coronary plaque by 64-slice computed tomography: a comparison with quantitative intracoronary ultrasound. Investig Radiol. 2008;43(5):314–21.

    Article  Google Scholar 

  39. Pundziute G, Schuijf JD, Jukema JW, et al. Head-to-head comparison of coronary plaque evaluation between multislice computed tomography and intravascular ultrasound radiofrequency data analysis. JACC Cardiovasc Interv. 2008;1(2):176–82.

    Article  PubMed  Google Scholar 

  40. Voros S, Rinehart S, Qian Z, et al. Prospective validation of standardized, 3-dimensional, quantitative coronary computed tomographic plaque measurements using radiofrequency backscatter intravascular ultrasound as reference standard in intermediate coronary arterial lesions: results from the ATLANTA (assessment of tissue characteristics, lesion morphology, and hemodynamics by angiography with fractional flow reserve, intravascular ultrasound and virtual histology, and noninvasive computed tomography in atherosclerotic plaques) I study. JACC Cardiovasc Interv. 2011;4:198–208.

    Article  PubMed  Google Scholar 

  41. Achenbach S, Moselewski F, Ropers D, et al. Detection of calcified and noncalcified coronary atherosclerotic plaque by contrast-enhanced, submillimeter multidetector spiral computed tomography: a segment-based comparison with intravascular ultrasound. Circulation. 2004;109(1):14–7.

    Article  PubMed  Google Scholar 

  42. Brodoefel H, Burgstahler C, Sabir A, et al. Coronary plaque quantification by voxel analysis: dual-source MDCT angiography versus intravascular sonography. AJR Am J Roentgenol. 2009;192(3):W84–9.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Leber AW, Knez A, von Ziegler F, et al. Quantification of obstructive and nonobstructive coronary lesions by 64-slice computed tomography: a comparative study with quantitative coronary angiography and intravascular ultrasound. J Am Coll Cardiol. 2005;46:147–54.

    Article  PubMed  Google Scholar 

  44. Pohle K, Achenbach S, Macneill B, et al. Characterization of non-calcified coronary atherosclerotic plaque by multi-detector row CT: comparison to IVUS. Atherosclerosis. 2007;190:174–80.

    Article  CAS  PubMed  Google Scholar 

  45. Schroeder S, Kopp AF, Baumbach A, et al. Noninvasive detection and evaluation of atherosclerotic coronary plaques with multislice computed tomography1. J Am Coll Cardiol. 2001;37:1430–5.

    Article  CAS  PubMed  Google Scholar 

  46. Achenbach S, Ropers D, Hoffmann U, et al. Assessment of coronary remodeling in stenotic and nonstenotic coronary atherosclerotic lesions by multidetector spiral computed tomography. J Am Coll Cardiol. 2004;43(5):842–7.

    Article  PubMed  Google Scholar 

  47. Gauss S, Achenbach S, Pflederer T, Schuhbäck A, Daniel WG, Marwan M. Assessment of coronary artery remodelling by dual-source CT: a head-to-head comparison with intravascular ultrasound. Heart. 2011;97:991–7.

    Article  PubMed  Google Scholar 

  48. Voros S, Rinehart S, Qian Z, et al. Coronary atherosclerosis imaging by coronary CT angiography: current status, correlation with intravascular interrogation and meta-analysis. JACC Cardiovasc Imaging. 2011;4:537–48.

    Article  PubMed  Google Scholar 

  49. Motoyama S, Sarai M, Harigaya H, et al. Computed tomographic angiography characteristics of atherosclerotic plaques subsequently resulting in acute coronary syndrome. J Am Coll Cardiol. 2009;54(1):49–57.

    Article  PubMed  Google Scholar 

  50. Otsuka K, Fukuda S, Tanaka A, et al. Napkin-ring sign on coronary CT angiography for the prediction of acute coronary syndrome. JACC Cardiovasc Imaging. 2013;6(4):448–57.

    Article  PubMed  Google Scholar 

  51. Yamamoto H, Kitagawa T, Ohashi N, et al. Noncalcified atherosclerotic lesions with vulnerable characteristics detected by coronary CT angiography and future coronary events. J Cardiovasc Comput Tomogr. 2013;7(3):192–9.

    Article  PubMed  Google Scholar 

  52. Motoyama S, Ito H, Sarai M, et al. Plaque characterization by coronary computed tomography angiography and the likelihood of acute coronary events in mid-term follow-up. J Am Coll Cardiol. 2015;66(4):337–46. Landmark study confirming the validity of the concept of high risk plaque as determined by coronary CTA.

  53. 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(22):2233–41.

    Article  PubMed  Google Scholar 

  54. Koo BK, Erglis A, Doh JH, et al. 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. J Am Coll Cardiol. 2011;58(19):1989–97.

    Article  PubMed  Google Scholar 

  55. Min JK, Leipsic J, Pencina MJ, et al. Diagnostic accuracy of fractional flow reserve from anatomic CT angiography. JAMA. 2012;308(12):1237–45.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  56. Norgaard BL, Leipsic J, Gaur S, et al. 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. 2014;63(12):1145–55.

    Article  PubMed  Google Scholar 

  57. Douglas PS, Pontone G, Hlatky MA, et al. 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 FFRct: outcome and resource impacts study. Eur Heart J. 2015.

  58. Ghoshhajra BB, Engel LC, Major GP, et al. Evolution of coronary computed tomography radiation dose reduction at a tertiary referral center. Am J Med. 2012;125(8):764–72.

    Article  PubMed  Google Scholar 

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Acknowledgments

Maros Ferencik reports receiving the following award (American Heart Association Fellow to Faculty Award 13FTF16450001).

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Correspondence to Daniel O. Bittner.

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Conflict of Interest

Daniel O. Bittner and Maros Ferencik declare that they have no conflict of interest.

Udo Hoffmann reports grants from HeartFlow, Siemens HealthCare, and ACRIN, as well as fees from the AHA.

Pamela S. Douglas reports grants from HeartFlow, and grants and DSMB membership for GE HealthCare.

Human and Animal Rights and Informed Consent

This article does not contain any studies with human or animal subjects performed by any of the authors.

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This article is part of the Topical Collection on Cardiac PET, CT, and MRI

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Bittner, D.O., Ferencik, M., Douglas, P.S. et al. Coronary CT Angiography as a Diagnostic and Prognostic Tool: Perspective from a Multicenter Randomized Controlled Trial: PROMISE. Curr Cardiol Rep 18, 40 (2016). https://doi.org/10.1007/s11886-016-0718-9

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  • DOI: https://doi.org/10.1007/s11886-016-0718-9

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