Literature DB >> 26897669

CT Angiography for the Prediction of Hemodynamic Significance in Intermediate and Severe Lesions: Head-to-Head Comparison With Quantitative Coronary Angiography Using Fractional Flow Reserve as the Reference Standard.

Matthew J Budoff1, Ryo Nakazato2, G B John Mancini3, Heidi Gransar2, Jonathon Leipsic3, Daniel S Berman2, James K Min4.   

Abstract

OBJECTIVES: The goal of this study was to compare the diagnostic performance of coronary computed tomography angiography (CTA) versus quantitative coronary angiography (QCA) for the detection of lesion-specific ischemia using fractional flow reserve (FFR) as the gold standard.
BACKGROUND: Coronary CTA has emerged as a noninvasive method for accurate detection and exclusion of high-grade coronary stenoses. FFR is the gold standard for determining lesion-specific ischemia and has been shown to improve clinical outcomes when guiding revascularization.
METHODS: A total of 252 patients from 5 countries were prospectively enrolled (mean age 63 years; 71% male). Patients underwent coronary CTA and invasive coronary angiography (ICA) with FFR in 407 lesions. Coronary CTA, QCA, and FFR were interpreted by independent core laboratories. Stenosis severity according to coronary CTA and QCA were graded as 0% to 29%, 30% to 49%, 50% to 69%, and 70% to 100%; stenosis ≥50% was considered anatomically obstructive. Lesion-specific ischemia was defined according to FFR ≤0.8, whereas QCA and coronary CTA stenosis ≥50% were considered obstructive. Diagnostic accuracy and areas under the receiver-operating characteristics curve (AUC) for lesion-specific ischemia was assessed.
RESULTS: According to FFR, ischemia was present in 151 (37%) of 407 lesions. Diagnostic accuracy, sensitivity, specificity, positive predictive value, and negative predictive value were 69%, 79%, 63%, 55%, and 83% for coronary CTA; and 71%, 74%, 70%, 59%, and 82% for QCA. AUC for identification of ischemia-causing lesions was similar: 0.75 for coronary CTA and 0.77 for QCA (p = 0.6). No differences between CTA and QCA existed for discrimination of ischemia within the left anterior descending artery (AUC 0.71 vs. 0.73; p = 0.6), left circumflex artery (AUC 0.78 vs. 0.85; p = 0.4), and right coronary artery (AUC 0.80 vs. 0.83; p = 0.6).
CONCLUSIONS: CTA and ICA exhibited similar diagnostic performance for the detection and exclusion of lesion-specific ischemia. Using a true reference standard to determine appropriate revascularization targets, 3-dimensional coronary CTA performed as well as 2-dimensional ICA.
Copyright © 2016 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  coronary CT; coronary angiography; diagnostic accuracy; fractional flow reserve; multidetector computed tomography

Mesh:

Year:  2016        PMID: 26897669     DOI: 10.1016/j.jcmg.2015.08.021

Source DB:  PubMed          Journal:  JACC Cardiovasc Imaging        ISSN: 1876-7591


  21 in total

Review 1.  A systematic review of imaging anatomy in predicting functional significance of coronary stenoses determined by fractional flow reserve.

Authors:  Miao Chu; Neng Dai; Junqing Yang; Jelmer Westra; Shengxian Tu
Journal:  Int J Cardiovasc Imaging       Date:  2017-03-06       Impact factor: 2.357

2.  Fractional flow reserve derived by coronary computed tomography angiography : A sophisticated analysis method for detecting hemodynamically significant coronary stenosis.

Authors:  S Baumann; T Becher; U J Schoepf; D Lossnitzer; T Henzler; I Akin; M Borggrefe; M Renker
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Review 3.  Infarct characterization using CT.

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Journal:  Cardiovasc Diagn Ther       Date:  2017-04

4.  Evaluation of fractional flow reserve in patients with stable angina: can CT compete with angiography?

Authors:  Xin Liu; Yabin Wang; Heye Zhang; Youbing Yin; Kunlin Cao; Zhifan Gao; Huafeng Liu; William Kongto Hau; Lei Gao; Yundai Chen; Feng Cao; Wenhua Huang
Journal:  Eur Radiol       Date:  2019-03-18       Impact factor: 5.315

5.  Interference with MCP-1 gene expression by vector generated triple helix-forming RNA oligonucleotides.

Authors:  K Kautz; M Schwarz; H H Radeke
Journal:  Cell Mol Life Sci       Date:  2005-02       Impact factor: 9.261

6.  Non-invasive fractional flow reserve derived from coronary computed tomography angiography in patients with acute chest pain: Subgroup analysis of the ROMICAT II trial.

Authors:  Maros Ferencik; Michael T Lu; Thomas Mayrhofer; Stefan B Puchner; Ting Liu; Pal Maurovich-Horvat; Khristine Ghemigian; Alexander Ivanov; Elizabeth Adami; John T Nagurney; Pamela K Woodard; Quynh A Truong; James E Udelson; Udo Hoffmann
Journal:  J Cardiovasc Comput Tomogr       Date:  2019-05-15

7.  Is FFR-CT a "game changer" in the diagnostic management of stable coronary artery disease?

Authors:  W A Leber
Journal:  Herz       Date:  2016-08       Impact factor: 1.443

8.  Myocardial perfusion with single-photon emission computed tomography, multidetector computed tomography, or neither?

Authors:  Paolo Raggi; G B John Mancini
Journal:  J Nucl Cardiol       Date:  2016-05-17       Impact factor: 5.952

9.  Cardiac-Specific Conversion Factors to Estimate Radiation Effective Dose From Dose-Length Product in Computed Tomography.

Authors:  Sigal Trattner; Sandra Halliburton; Carla M Thompson; Yanping Xu; Anjali Chelliah; Sachin R Jambawalikar; Boyu Peng; M Robert Peters; Jill E Jacobs; Munir Ghesani; James J Jang; Hussein Al-Khalidi; Andrew J Einstein
Journal:  JACC Cardiovasc Imaging       Date:  2017-08-16

Review 10.  Bridging the gap for lipid lowering therapy: plaque regression, coronary computed tomographic angiography, and imaging-guided personalized medicine.

Authors:  Alan C Kwan; Konstantinos N Aronis; Veit Sandfort; Roger S Blumenthal; David A Bluemke
Journal:  Expert Rev Cardiovasc Ther       Date:  2017-07-06
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