Skip to main content
Log in

Controversies in the Use of Fractional Flow Reserve Form Computed Tomography (FFRCT) vs. Coronary Angiography

  • Spotlight on CT Imaging (T Schindler, Section Editor)
  • Published:
Current Cardiovascular Imaging Reports Aims and scope Submit manuscript

Abstract

Purpose of Review

Invasive coronary angiography (ICA) is the gold standard for the anatomical assessment of coronary artery disease. In addition, it provides assessment to coronary physiology and myocardial blood flow through fractional flow reserve (FFR). Furthermore, invasive FFR provides a clear road map that helps in the management of suspected coronary artery disease patients especially if an intermediate coronary lesion is considered. Despite all these developments, this invasive technique carries its own risk. Non-invasive coronary assessment using coronary computed tomography angiography (CCTA) is now an established tool for the evaluation of coronary artery disease.

Recent Findings

Recent technology allows the measurement of FFR using CCTA imaging. This technique was studied in a number of papers that confirmed its validity, accuracy, clinical utility and cost-effectiveness. However, this technique continues to have some challenges. In this paper, we will review the data related to this new promising technique as well as its clinical implications, limitations and challenges.

Summary

FFRCT is a promising tool that will provide valuable clinical information needed in the management of multiple clinical scenarios. It is expected to grow further in the near future and have significant clinical impact once its clinical role is further defined and workflow is simplified.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

Abbreviations

CCTA:

Coronary computed tomography angiography

CAD:

Coronary artery disease

ICD:

Invasive coronary angiography

FFR:

Fractional flow reserve

FFRCT :

Fractional flow reserve form computed tomography scan

AUC:

Area under the receiver operating characteristic curve

MACE:

Major adverse cardiac events

References

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

  1. Al-Mallah MH, Aljizeeri A, Villines TC, Srichai MB, Alsaileek A. Cardiac computed tomography in current cardiology guidelines. J Cardiovasc Comput Tomogr. 2015;9:514–23.

    Article  PubMed  Google Scholar 

  2. Raff GL, Gallagher MJ, O’Neill WW, Goldstein JA. Diagnostic accuracy of noninvasive coronary angiography using 64-slice spiral computed tomography. J Am Coll Cardiol. 2005;46:552–7.

    Article  PubMed  Google Scholar 

  3. Douglas PS, Hoffmann U. Anatomical versus functional testing for coronary artery disease. N Engl J Med. 2015;373:91.

    Article  PubMed  Google Scholar 

  4. Chinnaiyan KM, Peyser P, Goraya T, Ananthasubramaniam K, Gallagher M, Depetris A, et al. Impact of a continuous quality improvement initiative on appropriate use of coronary computed tomography angiography. Results from a multicenter, statewide registry, the Advanced Cardiovascular Imaging Consortium. J Am Coll Cardiol. 2012;60:1185–91.

    Article  PubMed  Google Scholar 

  5. Min JK, Hachamovitch R, Rozanski A, Shaw LJ, Berman DS, Gibbons R. Clinical benefits of noninvasive testing: coronary computed tomography angiography as a test case. JACC Cardiovasc Imaging. 2010;3:305–15.

    Article  PubMed  Google Scholar 

  6. Shaw LJ, Hausleiter J, Achenbach S, Al-Mallah M, Berman DS, Budoff MJ, et al. Coronary computed tomographic angiography as a gatekeeper to invasive diagnostic and surgical procedures: results from the multicenter CONFIRM (Coronary CT Angiography Evaluation for Clinical Outcomes: an International Multicenter) registry. J Am Coll Cardiol. 2012;60:2103–14.

    Article  PubMed  Google Scholar 

  7. Marwick TH, Cho I, Ó Hartaigh B, Min JK. Finding the gatekeeper to the cardiac catheterization laboratory: coronary CT angiography or stress testing? J Am Coll Cardiol. 2015;65:2747–56.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Investigators T. Trial of invasive versus medical therapy in elderly patients with chronic symptomatic coronary-artery disease (TIME): a randomised trial. Lancet. 2001;358:951–7.

    Article  Google Scholar 

  9. Montalescot G, Sechtem U, Achenbach S, Andreotti F, Arden C, Budaj A, et al. 2013 ESC guidelines on the management of stable coronary artery disease. Eur Heart J. 2013;34:2949–3003.

    Article  PubMed  Google Scholar 

  10. De Bruyne B, Baudhuin T, Melin JA, Pijls NH, Sys SU, Bol A, et al. Coronary flow reserve calculated from pressure measurements in humans. Validation with positron emission tomography. Circulation. 1994;89:1013–22.

    Article  PubMed  Google Scholar 

  11. Grunau GL, Min JK, Leipsic J. Modeling of fractional flow reserve based on coronary CT angiography. Curr Cardiol Rep. 2013;15:336.

    Article  PubMed  Google Scholar 

  12. Park HB, Heo R, Ó Hartaigh B, Cho I, Gransar H, Nakazato R, et al. Atherosclerotic plaque characteristics by CT angiography identify coronary lesions that cause ischemia: a direct comparison to fractional flow reserve. JACC Cardiovasc Imaging. 2015;8:1–10.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Zhang D, Lv S, Song X, Yuan F, Xu F, Zhang M, et al. Fractional flow reserve versus angiography for guiding percutaneous coronary intervention: a meta-analysis. Heart. 2015;101:455–62.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Bech GJ, De Bruyne B, Pijls NH, de Muinck ED, Hoorntje JC, Escaned J, et al. Fractional flow reserve to determine the appropriateness of angioplasty in moderate coronary stenosis: a randomized trial. Circulation. 2001;103:2928–34.

    Article  CAS  PubMed  Google Scholar 

  15. Pijls NH, van Schaardenburgh P, Manoharan G, Boersma E, Bech JW, van’t Veer M, et al. Percutaneous coronary intervention of functionally nonsignificant stenosis: 5-year follow-up of the DEFER Study. J Am Coll Cardiol. 2007;49:2105–11.

    Article  PubMed  Google Scholar 

  16. Tonino PA, De Bruyne B, Pijls NH, Siebert U, Ikeno F, van’t Veer M, et al. Fractional flow reserve versus angiography for guiding percutaneous coronary intervention. N Engl J Med. 2009;360:213–24.

    Article  CAS  PubMed  Google Scholar 

  17. Taggart DP, Boyle R, de Belder MA, Fox KA. The 2010 ESC/EACTS guidelines on myocardial revascularisation. Heart. 2011;97:445–6.

    Article  PubMed  Google Scholar 

  18. Piek JJ, Claessen BE, Davies JE, Escaned J. Physiology-guided myocardial revascularisation in complex multivessel coronary artery disease: beyond the 2014 ESC/EACTS guidelines on myocardial revascularisation. Open Heart. 2015;2, e000308.

    Article  PubMed  PubMed Central  Google Scholar 

  19. 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.

    Article  PubMed  Google Scholar 

  20. Zarins CK, Taylor CA, Min JK. Computed fractional flow reserve (FFTCT) derived from coronary CT angiography. J Cardiovasc Transl Res. 2013;6:708–14.

    Article  PubMed  PubMed Central  Google Scholar 

  21. •• Koo BK, Erglis A, Doh JH, Daniels DV, Jegere S, Kim HS, 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;58:1989–97. This is the first study determine the diagnostic performance of FFRCT in patients with suspected or known coronary artery disease (CAD). The study showed that noninvasive FFR derived from CCTA is a novel method with high diagnostic performance for the detection and exclusion of coronary lesions that cause ischemia.

    Article  PubMed  Google Scholar 

  22. Min JK, Leipsic J, Pencina MJ, Berman DS, Koo BK, van Mieghem C, et al. Diagnostic accuracy of fractional flow reserve from anatomic CT angiography. JAMA. 2012;308:1237–45.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Min JK, Berman DS, Budoff MJ, Jaffer FA, Leipsic J, Leon MB, et al. Rationale and design of the DeFACTO (Determination of Fractional Flow Reserve by Anatomic Computed Tomographic AngiOgraphy) study. J Cardiovasc Comput Tomogr. 2011;5:301–9.

    Article  PubMed  Google Scholar 

  24. Patel MR. Detecting obstructive coronary disease with CT angiography and noninvasive fractional flow reserve. JAMA. 2012;308:1269–70.

    Article  CAS  PubMed  Google Scholar 

  25. • Norgaard BL, Leipsic J, Gaur S, Seneviratne S, Ko BS, Ito H, 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;63:1145–55. This is the latest study to document that FFRCT provides high diagnostic accuracy and discrimination for the diagnosis of hemodynamically significant CAD with invasive FFR as the reference standard. When compared with anatomic testing by using coronary CTA, FFRCT led to a marked increase in specificity.

    Article  PubMed  Google Scholar 

  26. 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.

    Article  PubMed  PubMed Central  Google Scholar 

  27. • Coenen A, Lubbers MM, Kurata A, Kono A, Dedic A, Chelu RG, et al. Fractional flow reserve computed from noninvasive CT angiography data: diagnostic performance of an on-site clinician-operated computational fluid dynamics algorithm. Radiology. 2015;274:674–83. This study showed that point of care FFRCT at a regular workstation is possible. Its diagnostic accuracy was good and incremental to that of coronary CT angiography within a population with a high prevalence of CAD.

    Article  PubMed  Google Scholar 

  28. Coenen A, Lubbers MM, Kurata A, Kono A, Dedic A, Chelu RG, et al. Coronary CT angiography derived fractional flow reserve: methodology and evaluation of a point of care algorithm. J Cardiovasc Comput Tomogr. 2016;10:105–13.

    Article  PubMed  Google Scholar 

  29. Yoon YE, Choi JH, Kim JH, Park KW, Doh JH, Kim YJ, et al. Noninvasive diagnosis of ischemia-causing coronary stenosis using CT angiography: diagnostic value of transluminal attenuation gradient and fractional flow reserve computed from coronary CT angiography compared to invasively measured fractional flow reserve. JACC Cardiovasc Imaging. 2012;5:1088–96.

    Article  PubMed  Google Scholar 

  30. Renker M, Schoepf UJ, Wang R, Meinel FG, Rier JD, Bayer 2nd RR, et al. Comparison of diagnostic value of a novel noninvasive coronary computed tomography angiography method versus standard coronary angiography for assessing fractional flow reserve. Am J Cardiol. 2014;114:1303–8.

    Article  PubMed  Google Scholar 

  31. Kruk M, Wardziak Ł, Demkow M, Pleban W, Pręgowski J, Dzielińska Z, et al. Workstation-based calculation of CTA-based FFR for intermediate stenosis. J Am Coll Cardiol Img. 2016;9:690–9.

    Article  Google Scholar 

  32. • Douglas PS, De Bruyne B, Pontone G, Patel MR, Norgaard BL, Byrne RA, et al. 1-year outcomes of FFRCT-guided care in patients with suspected coronary disease: the PLATFORM study. J Am Coll Cardiol. 2016;68:435–45. The one year follow-up of the PLATFORM trial showed that in patients with stable chest pain and planned invasive coronary angiography, care guided by CTA and selective FFRCT was associated with equivalent clinical outcomes and QOL, and lower costs, compared with usual care over 1-year follow-up.

    Article  PubMed  Google Scholar 

  33. Douglas PS, Pontone G, Hlatky MA, Patel MR, Norgaard BL, Byrne RA, 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 FFR(CT): Outcome and Resource iMpacts Study. Eur Heart J. 2015;36:3359–67.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Hlatky MA, De Bruyne B, Pontone G, Patel MR, Norgaard BL, Byrne RA, et al. Quality-of-life and economic outcomes of assessing fractional flow reserve with computed tomography angiography: PLATFORM. J Am Coll Cardiol. 2015;66:2315–23.

    Article  PubMed  Google Scholar 

  35. Pontone G, Patel MR, Hlatky MA, Chiswell K, Andreini D, Norgaard BL, et al. Rationale and design of the Prospective LongitudinAl Trial of FFRCT: Outcome and Resource iMpacts study. Am Heart J. 2015;170:438–46. e44.

    Article  PubMed  Google Scholar 

  36. Curzen NP, Nolan J, Zaman AG, Norgaard BL, Rajani R. Does the Routine Availability of CT–Derived FFR Influence Management of Patients with Stable Chest Pain Compared to CT Angiography Alone? The FFRCT RIPCORD study. J Am Coll Cardiol Img. 2016;9(10):1188–94.

    Article  Google Scholar 

  37. Fearon WF, Lee JH. Pulling the RIPCORDFFRCT to improve interpretation of coronary CT angiography∗. JACC Cardiovasc Imaging. 2016.

  38. Vanhecke TE, Madder RD, Weber JE, Bielak LF, Peyser PA, Chinnaiyan KM. Development and validation of a predictive screening tool for uninterpretable coronary CT angiography results. Circ Cardiovasc Imaging. 2011;4:490–7.

    Article  PubMed  Google Scholar 

  39. Chinnaiyan KM, Depetris AM, Al-Mallah M, Abidov A, Ananthasubramaniam K, Gallagher MJ, et al. Rationale, design, and goals of the Advanced Cardiovascular Imaging Consortium (ACIC): a blue cross blue shield of Michigan collaborative quality improvement project. Am Heart J. 2012;163:346–53.

    Article  PubMed  Google Scholar 

  40. Radico F, Cicchitti V, Zimarino M, De Caterina R. Angina pectoris and myocardial ischemia in the absence of obstructive coronary artery disease: practical considerations for diagnostic tests. J Am Coll Cardiol Intv. 2014;7:453–63.

    Article  Google Scholar 

  41. Chinnaiyan KM, Raff GL, Goraya T, Ananthasubramaniam K, Gallagher MJ, Abidov A, et al. Coronary computed tomography angiography after stress testing: results from a multicenter, statewide registry, ACIC (Advanced Cardiovascular Imaging Consortium). J Am Coll Cardiol. 2012;59:688–95.

    Article  PubMed  Google Scholar 

  42. Choi J-H, Min JK, Labounty TM, Lin FY, Mendoza DD, Shin DH, et al. Intracoronary transluminal attenuation gradient in coronary CT angiography for determining coronary artery stenosis. J Am Coll Cardiol Img. 2011;4:1149–57.

    Article  Google Scholar 

  43. Ko BS, Wong DT, Norgaard BL, Leong DP, Cameron JD, Gaur S, et al. Diagnostic performance of transluminal attenuation gradient and noninvasive fractional flow reserve derived from 320-detector row CT angiography to diagnose hemodynamically significant coronary stenosis: an NXT substudy. Radiology. 2016;279:75–83.

    Article  PubMed  Google Scholar 

  44. Rochitte CE, George RT, Chen MY, Arbab-Zadeh A, Dewey M, Miller JM, et al. Computed tomography angiography and perfusion to assess coronary artery stenosis causing perfusion defects by single photon emission computed tomography: the CORE320 study. Eur Heart J. 2014;35:1120–30.

    Article  PubMed  Google Scholar 

  45. Yang DH, Kim YH, Roh JH, Kang JW, Han D, Jung J, et al. Stress myocardial perfusion CT in patients suspected of having coronary artery disease: visual and quantitative analysis-validation by using fractional flow reserve. Radiology. 2015;276:715–23.

    Article  PubMed  Google Scholar 

  46. Ko BS, Cameron JD, Leung M, Meredith IT, Leong DP, Antonis PR, et al. Combined CT coronary angiography and stress myocardial perfusion imaging for hemodynamically significant stenoses in patients with suspected coronary artery disease: a comparison with fractional flow reserve. JACC Cardiovasc Imaging. 2012;5:1097–111.

    Article  PubMed  Google Scholar 

  47. Ko BS, Cameron JD, Meredith IT, Leung M, Antonis PR, Nasis A, et al. Computed tomography stress myocardial perfusion imaging in patients considered for revascularization: a comparison with fractional flow reserve. Eur Heart J. 2012;33:67–77.

    Article  PubMed  Google Scholar 

  48. Choi JH, Koo BK, Yoon YE, Min JK, Song YB, Hahn JY, et al. Diagnostic performance of intracoronary gradient-based methods by coronary computed tomography angiography for the evaluation of physiologically significant coronary artery stenoses: a validation study with fractional flow reserve. Eur Heart J Cardiovasc Imaging. 2012;13:1001–7.

    Article  PubMed  Google Scholar 

  49. Andreini D, Mushtaq S, Pontone G, Rogers C, Pepi M, Bartorelli AL. Severe in-stent restenosis missed by coronary CT angiography and accurately detected with FFRCT. Int J Cardiovasc Imaging. 2016.

  50. Hlatky MA, Saxena A, Koo BK, Erglis A, Zarins CK, Min JK. Projected costs and consequences of computed tomography-determined fractional flow reserve. Clin Cardiol. 2013;36:743–8.

    Article  PubMed  Google Scholar 

  51. Al-Mallah MH, Qureshi W, Lin FY, Achenbach S, Berman DS, Budoff MJ, et al. 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. 2014;15:267–74.

    Article  PubMed  Google Scholar 

  52. Nørgaard BL, Gaur S, Leipsic J, Ito H, Miyoshi T, Park S-J, et al. Influence of coronary calcification on the diagnostic performance of CT angiography derived FFR in coronary artery DiseaseA substudy of the NXT trial. J Am Coll Cardiol Img. 2015;8:1045–55.

    Article  Google Scholar 

  53. Min JK, Taylor CA, Achenbach S, Koo BK, Leipsic J, Norgaard BL, et al. Noninvasive fractional flow reserve derived from coronary CT angiography: clinical data and scientific principles. JACC Cardiovasc Imaging. 2015;8:1209–22.

    Article  PubMed  Google Scholar 

  54. Pontone G, Andreini D, Guaricci AI, Guglielmo M, Mushtaq S, Baggiano A, et al. Rationale and design of the PERFECTION (comparison between stress cardiac computed tomography PERfusion versus Fractional flow rEserve measured by Computed Tomography angiography In the evaluation of suspected cOroNary artery disease) prospective study. J Cardiovasc Comput Tomogr. 2016;10:330–4.

    Article  PubMed  Google Scholar 

  55. Truong QA, Knaapen P, Pontone G, Andreini D, Leipsic J, Carrascosa P, et al. Rationale and design of the Dual-Energy Computed Tomography for Ischemia Determination Compared to “Gold Standard” Non-Invasive and Invasive Techniques (DECIDE-Gold): a multicenter international efficacy diagnostic study of rest-stress dual-energy computed tomography angiography with perfusion. J Nucl Cardiol. 2015;22:1031–40.

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mouaz H. Al-Mallah.

Ethics declarations

Conflict of Interest

Mouaz H. Al-Mallah and Amjad M. Ahmed declare that they have no conflict of interest.

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.

Additional information

This article is part of the Topical Collection on Spotlight on CT Imaging

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Al-Mallah, M.H., Ahmed, A.M. Controversies in the Use of Fractional Flow Reserve Form Computed Tomography (FFRCT) vs. Coronary Angiography. Curr Cardiovasc Imaging Rep 9, 34 (2016). https://doi.org/10.1007/s12410-016-9396-7

Download citation

  • Published:

  • DOI: https://doi.org/10.1007/s12410-016-9396-7

Keywords

Navigation