Abstract
Myocardial perfusion imaging (MPI) using Single Photon Emission Computed Tomography has been established as a standard noninvasive tool for risk stratification of coronary artery disease (CAD). We evaluated the diagnostic performance of on-site workstation-based computed tomography-derived fractional flow reserve (CT-FFR) in comparison with MPI using invasive fractional flow reserve (invasive FFR) as a gold standard. We enrolled 97 patients with suspected CAD. Diagnostic performance of CT angiography (CTA), and CT-FFR was compared in 105 lesions of 97 patients. Invasive FFR ≤ 0.8 was detected in 38 (36%) lesions. Diagnostic performance of CT-FFR was improved compared with CTA (AUC 0.83 vs. 0.60, p < 0.0001). The lesions with both CTA and MPI findings (n = 47), invasive FFR ≤ 0.8 was detected in 19 (40.4) lesions. CT-FFR (AUC 0.81, 95% CI 0.72–0.94) significantly improved diagnostic performance compared with CTA-50% (AUC 0.59, p = 0.00019) and MPI (AUC 0.64, p = 0.0082). In lesions with ≥ 50% on CTA (n = 42), diagnostic accuracy of CT-FFR (AUC 0.81) was significantly superior to MPI (AUC 0.64, p = 0.0239). In conclusions, CT-FFR improved diagnostic accuracy to detect invasive FFR ≤ 0.8 compared with luminal stenosis on CTA and ischemia on MPI. Patients with ≥ 50% stenosis on CTA would be the candidates for CT-FFR.
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Hachamovitch R, Berman DS, Shaw LJ, Kiat H, Cohen I, Cabico JA, Friedman J, Diamond GA (1998) 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 97(6):535–543
Hachamovitch R, Berman DS, Kiat H, Bairey-Merz N, Cohen I, Cabico JA, Friedman JD, Germano G, Van Train KF, Diamond GA (1995) Gender-related differences in clinical management after exercise nuclear testing. J Am Coll Cardiol 26(6):1457–1464
Paech DC, Weston AR (2011) A systematic review of the clinical effectiveness of 64-slice or higher computed tomography angiography as an alternative to invasive coronary angiography in the investigation of suspected coronary artery disease. BMC Cardiovasc Disord 11:32
Hamon M, Morello R, Riddell JW, Hamon M (2007) Coronary arteries: diagnostic performance of 16- versus 64-section spiral CT compared with invasive coronary angiography-meta-analysis. Radiology 245(3):720–731
Douglas PS, Hoffmann U, Patel MR, Mark DB, Al-Khalidi HR, Cavanaugh B, Cavanaugh B, Cole J, Dolor RJ, Fordyce CB, Huahg M, Khan MA, Kosinski AS, Krucoff MW, Malhotra V, Picard MH, Udelson JE, Velazquez EJ, Yow E, Cooper LS, Lee KL (2015) Outcomes of anatomical versus functional testing for coronary artery disease. N Engl J Med 372(14):1291–1300
McKavanagh P, Lusk L, Ball PA, Verghis RM, Agus AM, Trinick TR, Duly E, Walls GM, Stevenson M, James B, Hamilton A, Harbison MT, Donnelly PM (2015) A comparison of cardiac computerized tomography and exercise stress electrocardiogram test for the investigation of stable chest pain: the clinical results of the CAPP randomized prospective trial. Eur Heart J Cardiovasc Imaging 16(4):441–448
Newby DE, Adamson PD, Berry C, Boon NA, Dweck MR, Flather M, Forbes J, Hunter A, Lewis S, MacLean S, Mills NL, Norrie J, Roditi G, Shah ASV, Timmis AD, van Beek EJR, Williams MC (2018) Coronary CT angiography and 5-year risk of myocardial infarction. N Engl J Med 379(10):924–933
Chang HJ, Lin FY, Gebow D, An HY, Andreini D, Bathina R, Baggiano A, Beltrama V, Cerci R, Choi EY, Choi JH, Choi SY, Chung N, Cole J, Doh JH, Ha SJ, Her AY, Kepka C, Kim JY, Kim JW, Kim SW, Kim W, Pontone G, Valeti U, Villines TC, Lu Y, Kumar A, Cho I, Danad I, Han D, Heo R, Lee SE, Lee JH, Park HB, Sung JM, Leflang D, Zullo J, Shaw LJ, Min JK (2019) Selective referral using CCTA versus direct referral for individuals referred to invasive coronary angiography for suspected CAD: a randomized, controlled, open-label trial. JACC Cardiovasc Imaging 12(7 Pt 2):1303–1312
Pontone G, Andreini D, Bartorelli AL, Bertella E, Cortinovis S, Mushtaq S, Foti C, Annoni A, Formenti A, Baggiano A, Conte E, Bovis F, Veglia F, Ballerini G, Fiorentini C, Agostoni P, Pepi M (2013) A long-term prognostic value of CT angiography and exercise ECG in patients with suspected CAD. JACC Cardiovasc Imaging 6(6):641–650
Bech GJ, De Bruyne B, Pijls NH, de Muinck ED, Hoorntje JC, Escaned J, Stella PR, Boersma E, Bartunek J, Koolen JJ, Wijins W (2001) Fractional flow reserve to determine the appropriateness of angioplasty in moderate coronary stenosis: a randomized trial. Circulation 103(24):2928–2934
Tonino PA, De Bruyne B, Pijls NH, Siebert U, Ikeno F, van’t Veer M, Klauss V, Manoharan G, Engstrøm T, Oldroyd KG, Ver Lee PN, MacCarthy PA, Fearon WF, FAME study investigators (2009) Fractional flow reserve versus angiography for guiding percutaneous coronary intervention. N Engl J Med 360(3):213–224
De Bruyne B, Pijls NH, Kalesan B, Barbato E, Tonino PA, Piroth Z, Jagic N, Möbius-Winkler S, Rioufol G, Witt N, Kala P, MacCarthy P, Engström T, Oldroyd KG, Mavromatis K, Manoharan G, Verlee P, Frobert O, Curzen N, Johnson JB, Jüni P, Fearon WF, FAME 2 Trial Investigators (2012) Fractional flow reserve-guided PCI versus medical therapy in stable coronary disease. N Engl J Med 367(11):991–1001
Xaplanteris P, Fournier S, Pijls NHJ, Fearon WF, Barbato E, Tonino PAL, Engstrøm T, Kääb S, Dambrink JH, Rioufol G, Toth GG, Piroth Z, Witt N, Fröbert O, Kala P, Linke A, Jagic N, Mates M, Mavromatis K, Samady H, Irimpen A, Oldroyd K, Campo G, Rothenbühler M, Jüni P, De Bruyne B, FAME 2 Investigators (2018) Five-year outcomes with PCI guided by fractional flow reserve. N Engl J Med 379(3):250–259
Koo BK, Erglis A, Doh JH, Daniels DV, Jegere S, Kim HS, Dunning A, DeFrance T, Lansky A, Leipsic J, Min JK (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(19):1989–1997
Min JK, Berman DS, Budoff MJ, Jaffer FA, Leipsic J, Leon MB, Mancini GB, Mauri L, Schwartz RS, Shaw LJ (2011) Diagnostic accuracy of fractional flow reserve from anatomic computed tomographic angiography: the DeFACTO study. J Cardiovasc Comput Tomogr 5(5):301–309
Nørgaard BL, Leipsic J, Gaur S, Seneviratne S, Ko BS, Ito H, Jensen JM, Mauri L, De Bruyne B, Bezerra H, Osawa K, Marwan M, Naber C, Erglis A, Park SJ, Christiansen EH, Kaltoft A, Lassen JF, Bøtker HE, Achenbach S, NXT Trial Study Group (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(12):1145–1155
Ko BS, Cameron JD, Munnur RK, Wong DTL, Fujisawa Y, Sakaguchi T, Hirohata K, Hislop-Jambrich J, Fujimoto S, Takamura K, Crossett M, Leung M, Kuganesan A, Malaiapan Y, Nasis A, Troupis J, Meredith IT, Seneviratne SK (2017) Noninvasive CT-derived FFR based on structural and fluid analysis a comparison with invasive FFR for detection of functionally significant stenosis. JACC Cardiovasc Imaging 10(6):663–673
Fujimoto S, Kawasaki T, Kumamaru KK, Kawaguchi Y, Dohi T, Okonogi T, Ri K, Yamada S, Takamura K, Kato E, Kato Y, Hiki M, Okazaki S, Aoki S, Mitsouras D, Rybicki FJ, Daida H (2019) Diagnostic performance of on-site computed CT-fractional flow reserve based on fluid structure interactions: comparison with invasive fractional flow reserve and instantaneous wave-free ratio. Eur Heart J Cardiovasc Imaging 20(3):343–352
Ihdayhid AR, Sakaguchi T, Linde JJ, Sørgaard MH, Kofoed KF, Fujisawa Y, Hislop-Jambrich J, Nerlekar N, Cameron JD, Munnur RK, Crosset M, Wong DTL, Seneviratne SK, Ko BS (2018) Performance of computed tomography-derived fractional flow reserve using reduced-order modelling and static computed tomography stress myocardial perfusion imaging for detection of haemodynamically significant coronary stenosis. Eur Heart J Cardiovasc Imaging 19(11):1234–1243
Agatston AS, Janowitz WR, Hildner FJ, Zusmer NR, Viamonte M Jr, Detrano R (1990) Quantification of coronary artery calcium using ultrafast computed tomography. J Am Coll Cardiol 15(4):827–832
Leipsic J, Abbara S, Achenbach S, Cury R, Earls JP, Mancini GJ, Nieman K, Pontone G, Raff GL (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(5):342–358
Hirohata K, Kano A, Goryu A, Ooga J, Hongo T, Higashi S, Fujisawa Y, Wakai S, Arakita K, Ikeda Y, Kaminaga S, Ko B, Seneviratne S (2015) A novel CT-FFR method for the coronary artery based on 4D-CT image analysis and structural and fluid analysis. SPIE Med Imaging 9412:941220
Kato M, Hirohata K, Kano A, Higashi S, Goryu A, Hongo T, Kaminaga S, Fujisawa Y (2015) Fast CT-FFR analysis method for the coronary artery based on 4D-CT image analysis and structural and fluid analysis. IMECE 51124:1–10
Kueh H, Mooney J, Ohana M, Kim U, Blanke P, Grover R, Sellers S, Ellis J, Murphy D, Hague C, Bax JJ, Nørgaard BL, Rabbat M, Leipsic JA (2017) Fractional flow reserve derived from coronary computed tomography angiography reclassification rate using value distal to lesion compared to lowest value. J Cardiovasc Comput Tomogr 11(6):462–467
Rabbat MG, Berman DS, Kern M, Raff G, Chinnaiyan K, Koweek L, Shaw LJ, Blanke P, Scherer M, Jensen JM, Lesser J, Nørgaard BL, Pontone G, De Bruyne B, Bax JJ, Leipsic J (2017) Interpreting results of coronary computed tomography angiography-derived fractional flow reserve in clinical practice. J Cardiovasc Comput Tomogr 11(5):383–388
Holly TA, Abbott BG, Al-Mallah M, Calnon DA, Cohen MC, DiFilippo FP, Ficaro EP, Freeman MR, Hendel RC, Jain D, Leonard SM, Nichols KJ, Polk DM, Soman P, American Society of Nuclear Cardiology (2010) Single photon-emission computed tomography. J Nucl Cardiol 17(5):941–973
Cerqueira MD, Weissman NJ, Dilsizian V, Jacobs AK, Kaul S, Laskey WK, Pennell DJ, Rumberger JA, Ryan T, Verani MS, American Heart Association Writing Group on Myocardial Segmentation and Registration for Cardiac Imaging (2002) Standardized myocardial segmentation and nomenclature for tomographic imaging of the heart. A statement for healthcare professionals from the cardiac imaging committee of the council on clinical cardiology of the American heart association. Circulation 105(4):539–542
DeLong ER, DeLong DM, Clarke-Pearson DL (1988) Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 44(3):837–845
Ri K, Kumamaru KK, Fujimoto S, Kawaguchi Y, Dohi T, Yamada S, Takamura K, Kogure Y, Yamada N, Kato E, Irie R, Takamura T, Suzuki M, Hori M, Aoki S, Daida H (2018) Noninvasive computed tomography-derived fractional flow reserve based on structural and fluid analysis: reproducibility of on-site determination by unexperienced observers. J Comput Assist Tomogr 42(2):256–262
Nørgaard BL, Gaur S, Leipsic J, Ito H, Miyoshi T, Park SJ, Zvaigzne L, Tzemos N, Jensen JM, Hansson N, Ko B, Bezerra H, Christiansen EH, Kaltoft A, Lassen JF, Bøtker HE, Achenbach S (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(9):1045–1055
Tesche C, Otani K, De Cecco CN, Coenen A, De Geer J, Kruk M, Kim YH, Albrecht MH, Baumann S, Renker M, Bayer RR, Duguay TM, Litwin SE, Varga-Szemes A, Steinberg DH, Yang DH, Kepka C, Persson A, Nieman K, Schoepf UJ (2019) Influence of coronary calcium on diagnostic performance of machine learning CT-FFR: results from MACHINE registry. JACC Cardiovasc Imaging. https://doi.org/10.1016/j.jcmg.2019.06.027
Tesche C, De Cecco CN, Baumann S, Renker M, McLaurin TW, Duguay TM, Bayer RR, Steinberg DH, Grant KL, Canstein C, Schwemmer C, Schoebinger M, Itu LM, Rapaka S, Sharma P, Schoepf UJ (2018) Coronary CT angiography-derived fractional flow reserve: machine learning algorithm versus computational fluid dynamics modeling. Radiology 288(1):64–72
van Rosendael AR, Maliakal G, Kolli KK, Beecy A, Al’Aref SJ, Dwivedi A, Singh G, Panday M, Kumar A, Ma X, Achenbach S, Al-Mallah MH, Andreini D, Bax JJ, Berman DS, Budoff MJ, Cademartiri F, Callister TQ, Chang HJ, Chinnaiyan K, Chow BJW, Cury RC, DeLago A, Feuchtner G, Hadamitzky M, Hausleiter J, Kaufmann PA, Kim YJ, Leipsic JA, Maffei E, Marques H, Pontone G, Raff GL, Rubinshtein R, Shaw LJ, Villines TC, Gransar H, Lu Y, Jones EC, Peña JM, Lin FY, Min JK (2018) Maximization of the usage of coronary CTA derived plaque information using a machine learning based algorithm to improve risk stratification; insights from the CONFIRM registry. J Cardiovasc Comput Tomogr 12(3):204–209
Takx RAP, Blomberg BA, Aidi HE, Habets J, Leiner T (2015) Diagnostic accuracy of stress myocardial perfusion imaging compared to invasive coronary angiography with fractional flow reserve meta-analysis. Circ Cardiovasc Imaging 8(1):e002666
Driessen RS, Danad I, Stuijfzand WJ, Raijmakers PG, Schumacher SP, Diemen PA, Leipsic JA, Knuuti J, Underwood SR, van de Ven PM, van Rossum AC, Taylor CA, Knaapen P (2019) Comparison of coronary computed tomography angiography, fractional flow reserve, and perfusion imaging for ischemia diagnosis. J Am Coll Cardiol 73(2):161–173
Berman DS, Kang X, Slomka PJ, Gerlach J, Yang L, Hayes SW, Friedman JD, Thomson LE, Germano G (2007) Underestimation of extent of ischemia by gated SPECT myocardial perfusion imaging in patients with left main coronary artery disease. J Nucl Cardiol 14(4):521–528
van de Hoef TP, van Lavieren MA, Damman P, Delewi R, Piek MA, Chamuleau SA, Voskuil M, Henriques JP, Koch KT, de Winter RJ, Spaan JA, Siebes M, Tijssen JG, Meuwissen M, Piek JJ (2014) Physiological basis and long-term clinical outcome of discordance between fractional flow reserve and coronary flow velocity reserve in coronary stenoses of intermediate severity. Circ Cardiovasc Interv 7(3):301–311
Linde JJ, Hove JD, Sørgaard M, Kelbæk H, Jensen GB, Kühl JT, Hindsø L, Køber L, Nielsen WB, Kofoed KF (2015) Long-term clinical impact of coronary CT angiography in patients with recent acute-onset chest pain: the randomized controlled CATCH trial. JACC Cardiovasc Imaging 8(12):1404–1413
Newby D, Williams M, Hunter A, Pawade T, Shah A, Newby D, Forbes J, Hargreaves A, Leslie S, Lewis S, McKillop G, McLean S, Reid J, Spratt J, Uren N, Timmis A, Berry C, Boon N, Clark L, Craig P, Barlow T, Flather M, Forbes J, Lewis S, McCormack C, McLean S, Newby D, Roditi G, van Beek E, Williams M, Hunter A, Shepherd S, Bucukoglu M, Lewis S, Assi V, Parker R, Krishan A, McCormack C, Wee F, Wackett A, Walker A, Milne L, Oatey K, Neary P, Donaldson G, Fairbairn T, Fotheringham M, Hall F, Hargreaves A, Spratt J, Glen S, Perkins S, Taylor F, Cram L, Beveridge C, Cairns A, Dougherty F, Eteiba H, Rae A, Robb K, Crawford W, Clarkin P, Lennon E, Houston G, Pringle S, Ramkumar PG, Sudarshan T, Fogarty Y, Barrie D, Bissett K, Dawson A, Dundas S, Letham D, O’Neill L, Ritchie V, Weir-McCall J, Dougall H, Ahmed F, Cormack A, Findlay I, Hood S, Murphy C, Peat E, McCabe L, McCubbin M, Allen B, van Beek E, Behan M, Bertram D, Brian D, Cowan A, Cruden N, Denvir M, Dweck M, Flint L, Flapan A, Fyfe S, Grubb N, Keanie C, Lang C, MacGillivray T, MacLachlan D, MacLeod M, Mirsadraee S, Morrison A, Mills N, Northridge D, Phillips A, Queripel L, Reid J, Uren N, Weir N, Jacob A, Bett F, Divers F, Fairley K, Keegan E, White T, Fowler J, Gemmill J, McGowan J, Henry M, Francis M, Sandeman D, Dinnel L, Newby D, Bloomfield P, Denvir M, Henriksen P, MacLeod D, Morrison A, Berry C, Mangion K, Mordi I, Roditi G, Tzemos N, Connolly E, Boylan H, Brown A, Farrell L, Frood A, Glover C, Johnstone J, Lanaghan K, McGlynn D, McGregor L, McLennan E, Murdoch L, Paterson V, Teyhan F, Teenan M, Woodward R, Steedman T (2015) CT coronary angiography in patients with suspected angina due to coronary heart disease (SCOT-HEART): an open-label, parallel-group, multicenter trial. Lancet 385(9985):2383–2391
Douglas PS, Pontone G, Hlatky MA, Patel MR, Norgaard BL, Byrne RA, Curzen N, Purcell I, Gutberlet M, Rioufol G, Hink U, Schuchlenz HW, Feuchtner G, Gilard M, Andreini D, Jensen JM, Hadamitzky M, Chiswell K, Cyr D, Wilk A, Wang F, Rogers C, De Bruyne B, PLATFORM Investigators (2015) 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 36(47):3359–3367
Assessing and diagnosing suspected stable angina. NICE guidance. https://pathways.nice.org.uk/pathways/chest-pain#path=view%3A/pathways/chest-pain/assessing-and-diagnosing-suspected-stable-angina.xml&content=view-node%3Anodes-diagnostic-investigations. Accessed Dec 2019 17
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Miyajima, K., Motoyama, S., Sarai, M. et al. On-site assessment of computed tomography-derived fractional flow reserve in comparison with myocardial perfusion imaging and invasive fractional flow reserve. Heart Vessels 35, 1331–1340 (2020). https://doi.org/10.1007/s00380-020-01606-z
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DOI: https://doi.org/10.1007/s00380-020-01606-z