Skip to main content
Log in

Feasibility and diagnostic performance of fractional flow reserve measurement derived from coronary computed tomography angiography in real clinical practice

  • Original Paper
  • Published:
The International Journal of Cardiovascular Imaging Aims and scope Submit manuscript

Abstract

Non-invasive fractional flow reserve measured by coronary computed tomography angiography (FFRCT) has demonstrated a high diagnostic accuracy for detecting coronary artery disease (CAD) in selected patients in prior clinical trials. However, feasibility of FFRCT in unselected population have not been fully evaluated. Among 60 consecutive patients who had suspected significant CAD by coronary computed tomography angiography (CCTA) and were planned to undergo invasive coronary angiography, 48 patients were enrolled in this study comparing FFRCT with invasive fractional flow reserve (FFR) without any exclusion criteria for the quality of CCTA image. FFRCT was measured in a blinded fashion by an independent core laboratory. FFRCT value was evaluable in 43 out of 48 (89.6 %) patients with high prevalence of severe calcification in CCTA images [calcium score (CS) >400: 40 %, and CS > 1000: 19 %). Per-vessel FFRCT value showed good correlation with invasive FFR value (Spearman’s rank correlation = 0.69, P < 0.001). The area under the receiver operator characteristics curve (AUC) of FFRCT was 0.87. Per-vessel accuracy, sensitivity, specificity, positive predictive value, and negative predictive value were 68.6, 92.9, 52.4, 56.5, and 91.7 %, respectively. Even in eight patients (13 vessels) with extremely severely calcified lesions (CS > 1000), per-vessel FFRCT value showed a diagnostic performance similar to that in patients with CS ≤ 1000 (Spearman’s rank correlation = 0.81, P < 0.001). FFRCT could be measured in the majority of consecutive patients who had suspected significant CAD by CCTA in real clinical practice and demonstrated good diagnostic performance for detecting hemodynamically significant CAD even in patients with extremely severe calcified vessels.

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
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

Abbreviations

AUC:

Area under the receiver operator characteristics curve

CAD:

Coronary artery disease

CCTA:

Coronary computed tomography angiography

CS:

Calcium score

FFR:

Fractional flow reserve

FFRCT :

Fractional flow reserve measured by coronary computed tomography angiography

NPV:

Negative predictive value

PCI:

Percutaneous coronary intervention

PPV:

Positive predictive value

References

  1. Zorlak A, Zorlak A, Thomassen A et al (2015) Patients with suspected coronary artery disease referred for examinations in the era of coronary computed tomography angiography. Am J Cardiol 116:344–349

    Article  PubMed  Google Scholar 

  2. Miller JM, Rochitte CE, Dewey M et al (2008) Diagnostic performance of coronary angiography by 64-row CT. N Engl J Med 359:2324–2336

    Article  CAS  PubMed  Google Scholar 

  3. Meijboom WB, Meijs MF, Schuijf JD et al (2008) Diagnostic accuracy of 64-slice computed tomography coronary angiography: a prospective, multicenter, multivendor study. J Am Coll Cardiol 52:2135–2144

    Article  PubMed  Google Scholar 

  4. Puchner SB, Liu T, Mayrhofer T et al (2014) 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 64:684–692

    Article  PubMed  PubMed Central  Google Scholar 

  5. Min JK, Shaw LJ, Berman DS (2010) The present state of coronary computed tomography angiography a process in evolution. J Am Coll Cardiol 55:957–965

    Article  PubMed  Google Scholar 

  6. Douglas PS, Hoffmann U, Patel MR et al (2015) Outcomes of anatomical versus functional testing for coronary artery disease. N Engl J Med 372:1291–1300

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Meijboom WB, Van Mieghem CA, van Pelt N et al (2008) 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 52:636–643

    Article  PubMed  Google Scholar 

  8. Schuijf JD, Wijns W, Jukema JW et al (2006) Relationship between noninvasive coronary angiography with multi-slice computed tomography and myocardial perfusion imaging. J Am Coll Cardiol 48:2508–2514

    Article  PubMed  Google Scholar 

  9. Koo BK, Erglis A, Doh JH et al (2011) 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 58:1989–1997

    Article  PubMed  Google Scholar 

  10. Norgaard BL, Leipsic J, Gaur S et al (2014) 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 63:1145–1155

    Article  PubMed  Google Scholar 

  11. Min JK, Leipsic J, Pencina MJ et al (2012) Diagnostic accuracy of fractional flow reserve from anatomic CT angiography. JAMA 308:1237–1245

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Min JK, Berman DS, Budoff MJ et al (2011) Rationale and design of the DeFACTO (determination of fractional flow reserve by anatomic computed tomographic AngiOgraphy) study. J Cardiovasc Comput Tomogr 5:301–309

    Article  PubMed  Google Scholar 

  13. Gaur S, Achenbach S, Leipsic J et al (2013) Rationale and design of the HeartFlowNXT (HeartFlow analysis of coronary blood flow using CT angiography: NeXt sTeps) study. J Cardiovasc Comput Tomogr 7:279–288

    Article  PubMed  Google Scholar 

  14. Abbara S, Arbab-Zadeh A, Callister TQ et al (2009) SCCT guidelines for performance of coronary computed tomographic angiography: a report of the Society of Cardiovascular Computed Tomography Guidelines Committee. J Cardiovasc Comput Tomogr 3:190–204

    Article  PubMed  Google Scholar 

  15. Leipsic J, Abbara S, Achenbach S et al (2014) SCCT guidelines for the interpretation and reporting of coronary CT angiography: a report of the Society of Cardiovascular Computed Tomography Guidelines Committee. J Cardiovasc Comput Tomogr 8:342–358

    Article  PubMed  Google Scholar 

  16. Agatston AS, Janowitz WR, Hildner FJ et al (1990) Quantification of coronary artery calcium using ultrafast computed tomography. J Am Coll Cardiol 15:827–832

    Article  CAS  PubMed  Google Scholar 

  17. Austen WG, Edwards JE, Frye RI et al (1975) A reporting system on patients evaluated for coronary artery disease. Report of the Ad Hoc Committee for Grading of Coronary Artery Disease, Council on Cardiovascular Surgery, American Heart Association. Circulation 51:5–40

    Article  CAS  PubMed  Google Scholar 

  18. Tonino PA, De Bruyne B, Pijls NH et al (2009) Fractional flow reserve versus angiography for guiding percutaneous coronary intervention. N Engl J Med 360:213–224

    Article  CAS  PubMed  Google Scholar 

  19. De Bruyne B, Fearon WF, Pijls NH et al (2014) Fractional flow reserve-guided PCI for stable coronary artery disease. N Engl J Med 371:1208–1217

    Article  PubMed  Google Scholar 

  20. De Bruyne B, Pijls NH, Kalesan B et al (2012) Fractional flow reserve-guided PCI versus medical therapy in stable coronary disease. N Engl J Med 367:991–1001

    Article  PubMed  Google Scholar 

  21. Adjedj J, De Bruyne B, Flore V et al (2016) Significance of Intermediate Values of Fractional Flow Reserve in Patients With Coronary Artery Disease. Circulation 133:502–508

    Article  CAS  PubMed  Google Scholar 

  22. Task Force Members, Montalescot G, Sechtem U et al (2013) 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. Eur Heart J 34:2949–3003

    Article  Google Scholar 

  23. Genders TS, Steyerberg EW, Alkadhi H et al (2011) A clinical prediction rule for the diagnosis of coronary artery disease: validation, updating, and extension. Eur Heart J 32:1316–1330

    Article  PubMed  Google Scholar 

  24. Leipsic J, Yang TH, Thompson A et al (2014) CT angiography (CTA) and diagnostic performance of noninvasive fractional flow reserve: results from the Determination of Fractional Flow Reserve by Anatomic CTA (DeFACTO) study. AJR Am J Roentgenol 202:989–994

    Article  PubMed  Google Scholar 

  25. Norgaard BL, Gaur S, Leipsic J, Ito H et al (2015) 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 8:1045–1055

    Article  PubMed  Google Scholar 

Download references

Acknowledgments

We appreciated all the members of the CT and cardiac catheterization laboratory in Graduate school of cardiovascular medicine, Kyoto University and Morishita heart clinic for their contribution to this study.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hiroki Shiomi.

Ethics declarations

Conflict of interest

This study was a collaborative study of Kyoto University Hospital with HeartFlow Inc. and C.A. The study was funded by the unrestricted grant of Kyoto University Hospital. FFRCT was evaluated free of charge by HeartFlow Inc. C.A. Taylor is an employee and shareholder of HeartFlow Inc. All the other authors have no conflict of disclosures.

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed consent

Informed consent was obtained from all individual participants included in the study.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (DOCX 89 KB)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kawaji, T., Shiomi, H., Morishita, H. et al. Feasibility and diagnostic performance of fractional flow reserve measurement derived from coronary computed tomography angiography in real clinical practice. Int J Cardiovasc Imaging 33, 271–281 (2017). https://doi.org/10.1007/s10554-016-0995-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10554-016-0995-9

Keywords

Navigation