Armin Arbab-Zadeh1, Marcelo F Di Carli2, Rodrigo Cerci1, Richard T George1, Marcus Y Chen1, Marc Dewey1, Hiroyuki Niinuma1, Andrea L Vavere1, Aisha Betoko1, Michail Plotkin1, Christopher Cox1, Melvin E Clouse1, Andrew E Arai1, Carlos E Rochitte1, Joao A C Lima1, Jeffrey Brinker1, Julie M Miller1. 1. From the Department of Medicine, Division of Cardiology, Johns Hopkins University, Baltimore, MD (A.A.-Z., R.C., R.T.G., A.L.V., J.A.C.L., J.B., J.M.M.); Department of Medicine, Division of Cardiology, Brigham and Women's Hospital, Harvard University, Boston, MA (M.D.C.); Division of Intramural Research, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD (M.Y.C., A.E.A.); Department of Radiology, Charité, Berlin, Germany (M.D., M.P.); Department of Medicine, Division of Cardiology, St. Luke's Hospital, Tokyo, Japan (H.N.); Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD (A.B., C.C.); Department of Radiology, Beth Israel Deaconess MC, Harvard University, Boston, MA (M.E.C.); and Department of Medicine, Division of Cardiology at the Heart Institute (InCor), University of Sao Paulo, Sao Paulo, Brazil (C.E.R.). 2. From the Department of Medicine, Division of Cardiology, Johns Hopkins University, Baltimore, MD (A.A.-Z., R.C., R.T.G., A.L.V., J.A.C.L., J.B., J.M.M.); Department of Medicine, Division of Cardiology, Brigham and Women's Hospital, Harvard University, Boston, MA (M.D.C.); Division of Intramural Research, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD (M.Y.C., A.E.A.); Department of Radiology, Charité, Berlin, Germany (M.D., M.P.); Department of Medicine, Division of Cardiology, St. Luke's Hospital, Tokyo, Japan (H.N.); Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD (A.B., C.C.); Department of Radiology, Beth Israel Deaconess MC, Harvard University, Boston, MA (M.E.C.); and Department of Medicine, Division of Cardiology at the Heart Institute (InCor), University of Sao Paulo, Sao Paulo, Brazil (C.E.R.). mdicarli@partners.org.
Abstract
BACKGROUND: Establishing the diagnosis of coronary artery disease (CAD) in symptomatic patients allows appropriately allocating preventative measures. Single-photon emission computed tomography (CT)-acquired myocardial perfusion imaging (SPECT-MPI) is frequently used for the evaluation of CAD, but coronary CT angiography (CTA) has emerged as a valid alternative. METHODS AND RESULTS: We compared the accuracy of SPECT-MPI and CTA for the diagnosis of CAD in 391 symptomatic patients who were prospectively enrolled in a multicenter study after clinical referral for cardiac catheterization. The area under the receiver operating characteristic curve was used to evaluate the diagnostic accuracy of CTA and SPECT-MPI for identifying patients with CAD defined as the presence of ≥1 coronary artery with ≥50% lumen stenosis by quantitative coronary angiography. Sensitivity to identify patients with CAD was greater for CTA than SPECT-MPI (0.92 versus 0.62, respectively; P<0.001), resulting in greater overall accuracy (area under the receiver operating characteristic curve, 0.91 [95% confidence interval, 0.88-0.94] versus 0.69 [0.64-0.74]; P<0.001). Results were similar in patients without previous history of CAD (area under the receiver operating characteristic curve, 0.92 [0.89-0.96] versus 0.67 [0.61-0.73]; P<0.001) and also for the secondary end points of ≥70% stenosis and multivessel disease, as well as subgroups, except for patients with a calcium score of ≥400 and those with high-risk anatomy in whom the overall accuracy was similar because CTA's superior sensitivity was offset by lower specificity in these settings. Radiation doses were 3.9 mSv for CTA and 9.8 for SPECT-MPI (P<0.001). CONCLUSIONS:CTA is more accurate than SPECT-MPI for the diagnosis of CAD as defined by conventional angiography and may be underused for this purpose in symptomatic patients. CLINICAL TRIAL REGISTRATION: URL: http://www.clinicaltrials.gov. Unique identifier: NCT00934037.
RCT Entities:
BACKGROUND: Establishing the diagnosis of coronary artery disease (CAD) in symptomatic patients allows appropriately allocating preventative measures. Single-photon emission computed tomography (CT)-acquired myocardial perfusion imaging (SPECT-MPI) is frequently used for the evaluation of CAD, but coronary CT angiography (CTA) has emerged as a valid alternative. METHODS AND RESULTS: We compared the accuracy of SPECT-MPI and CTA for the diagnosis of CAD in 391 symptomatic patients who were prospectively enrolled in a multicenter study after clinical referral for cardiac catheterization. The area under the receiver operating characteristic curve was used to evaluate the diagnostic accuracy of CTA and SPECT-MPI for identifying patients with CAD defined as the presence of ≥1 coronary artery with ≥50% lumen stenosis by quantitative coronary angiography. Sensitivity to identify patients with CAD was greater for CTA than SPECT-MPI (0.92 versus 0.62, respectively; P<0.001), resulting in greater overall accuracy (area under the receiver operating characteristic curve, 0.91 [95% confidence interval, 0.88-0.94] versus 0.69 [0.64-0.74]; P<0.001). Results were similar in patients without previous history of CAD (area under the receiver operating characteristic curve, 0.92 [0.89-0.96] versus 0.67 [0.61-0.73]; P<0.001) and also for the secondary end points of ≥70% stenosis and multivessel disease, as well as subgroups, except for patients with a calcium score of ≥400 and those with high-risk anatomy in whom the overall accuracy was similar because CTA's superior sensitivity was offset by lower specificity in these settings. Radiation doses were 3.9 mSv for CTA and 9.8 for SPECT-MPI (P<0.001). CONCLUSIONS: CTA is more accurate than SPECT-MPI for the diagnosis of CAD as defined by conventional angiography and may be underused for this purpose in symptomatic patients. CLINICAL TRIAL REGISTRATION: URL: http://www.clinicaltrials.gov. Unique identifier: NCT00934037.
Authors: Jagat Narula; Y Chandrashekhar; Amir Ahmadi; Suhny Abbara; Daniel S Berman; Ron Blankstein; Jonathon Leipsic; David Newby; Edward D Nicol; Koen Nieman; Leslee Shaw; Todd C Villines; Michelle Williams; Harvey S Hecht Journal: J Cardiovasc Comput Tomogr Date: 2020-11-20
Authors: Jason M Tarkin; Marc R Dweck; Nicholas R Evans; Richard A P Takx; Adam J Brown; Ahmed Tawakol; Zahi A Fayad; James H F Rudd Journal: Circ Res Date: 2016-02-19 Impact factor: 17.367
Authors: George Cm Siontis; Dimitris Mavridis; John P Greenwood; Bernadette Coles; Adriani Nikolakopoulou; Peter Jüni; Georgia Salanti; Stephan Windecker Journal: BMJ Date: 2018-02-21