Literature DB >> 30341670

Assessment of factors associated with measurability of fractional flow reserve derived from coronary computed tomography angiography in type 2 diabetic patients with intermediate coronary artery stenosis.

Tsuyoshi Nozue1, Takeshi Takamura2, Kazuki Fukui3, Kiyoshi Hibi4, Satoru Kishi5, Ichiro Michishita6.   

Abstract

Recently, fractional flow reserve (FFR) derived from coronary computed tomography angiography (CCTA) (FFRCT) has been developed. However, FFRCT cannot be calculated for all patients from CCTA datasets. The purpose of the present study, therefore, was to evaluate the predictors that results in cases being inappropriate for FFRCT processing. This study was a sub-analysis of the TRACT trial, from which 50 patients were divided into 2 groups according to FFRCT measurability (measurable [group M] or not measurable [group N]) using CCTA examination at baseline. Thirty-nine (78%) patients comprised group M and 11 (22%) comprised group N. Heart rate at CCTA examination (72 beats/min vs. 63 beats/min; p = 0.007) and Agatston score (665 vs. 33; p = 0.002) in group N were significantly higher than those in group M. Multivariate logistic regression analyses revealed that heart rate at CCTA examination (OR 1.348 [95% CI 1.167-1.556]; p < 0.001) and Agatston score (OR 1.002 [95% CI 1.000-1.003]; p = 0.004) were significant, independent factors associated with non-measurability of FFRCT. The frequency of poor image quality was highest in patients with heart rate > 65 beats/min and Agatston score > 400 (p < 0.0001). In conclusions, high heart rate at the time of CCTA examination and higher Agatston score were associated with poor image quality that resulted in cases being inappropriate for FFRCT processing. Heart rate control at CCTA examination is necessary to acquire good-quality images required for computing FFRCT.

Entities:  

Keywords:  Agatston score; Coronary atherosclerosis; Coronary computed tomography angiography; Fractional flow reserve; Heart rate

Mesh:

Year:  2018        PMID: 30341670     DOI: 10.1007/s10554-018-1476-0

Source DB:  PubMed          Journal:  Int J Cardiovasc Imaging        ISSN: 1569-5794            Impact factor:   2.357


  24 in total

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2.  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.

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Journal:  Am Heart J       Date:  2006-06       Impact factor: 4.749

Review 4.  Diagnostic performance of multislice spiral computed tomography of coronary arteries as compared with conventional invasive coronary angiography: a meta-analysis.

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Journal:  J Am Coll Cardiol       Date:  2006-09-26       Impact factor: 24.094

5.  Fractional flow reserve versus angiography for guiding percutaneous coronary intervention.

Authors:  Pim A L Tonino; Bernard De Bruyne; Nico H J Pijls; Uwe Siebert; Fumiaki Ikeno; Marcel van' t Veer; Volker Klauss; Ganesh Manoharan; Thomas Engstrøm; Keith G Oldroyd; Peter N Ver Lee; Philip A MacCarthy; William F Fearon
Journal:  N Engl J Med       Date:  2009-01-15       Impact factor: 91.245

6.  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.

Authors:  W Bob Meijboom; Carlos A G Van Mieghem; Niels van Pelt; Annick Weustink; Francesca Pugliese; Nico R Mollet; Eric Boersma; Eveline Regar; Robert J van Geuns; Peter J de Jaegere; Patrick W Serruys; Gabriel P Krestin; Pim J de Feyter
Journal:  J Am Coll Cardiol       Date:  2008-08-19       Impact factor: 24.094

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Authors:  W Bob Meijboom; Matthijs F L Meijs; Joanne D Schuijf; Maarten J Cramer; Nico R Mollet; Carlos A G van Mieghem; Koen Nieman; Jacob M van Werkhoven; Gabija Pundziute; Annick C Weustink; Alexander M de Vos; Francesca Pugliese; Benno Rensing; J Wouter Jukema; Jeroen J Bax; Mathias Prokop; Pieter A Doevendans; Myriam G M Hunink; Gabriel P Krestin; Pim J de Feyter
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8.  Diagnostic performance of coronary angiography by 64-row CT.

Authors:  Julie M Miller; Carlos E Rochitte; Marc Dewey; Armin Arbab-Zadeh; Hiroyuki Niinuma; Ilan Gottlieb; Narinder Paul; Melvin E Clouse; Edward P Shapiro; John Hoe; Albert C Lardo; David E Bush; Albert de Roos; Christopher Cox; Jeffery Brinker; João A C Lima
Journal:  N Engl J Med       Date:  2008-11-27       Impact factor: 91.245

9.  Computed tomographic angiography characteristics of atherosclerotic plaques subsequently resulting in acute coronary syndrome.

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Journal:  J Am Coll Cardiol       Date:  2009-06-30       Impact factor: 24.094

10.  Diagnostic performance of 64-multidetector row coronary computed tomographic angiography for evaluation of coronary artery stenosis in individuals without known coronary artery disease: results from the prospective multicenter ACCURACY (Assessment by Coronary Computed Tomographic Angiography of Individuals Undergoing Invasive Coronary Angiography) trial.

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