Literature DB >> 25904402

Diagnostic performance of transluminal attenuation gradient and fractional flow reserve by coronary computed tomographic angiography (FFR(CT)) compared to invasive FFR: a sub-group analysis from the DISCOVER-FLOW and DeFACTO studies.

Rine Nakanishi1, Suguru Matsumoto, Anas Alani, Dong Li, Pieter H Kitslaar, Alexander Broersen, Bon-Kwon Koo, James K Min, Matthew J Budoff.   

Abstract

Although coronary computed tomographic angiography (CCTA) has been a robust diagnostic tool to identify anatomical significance of coronary artery disease (CAD), the utility of CCTA to assess hemodynamic significance of CAD remains unclear. We investigated the diagnostic performance of transluminal attenuation gradient (TAG) and fractional flow reserve derived from CCTA (FFRCT) to predict lesion-specific ischemia by invasive FFR. We identified 103 patients with suspected or known CAD enrolled from the DISCOVER-FLOW and DeFACTO studies who underwent invasive coronary angiography with FFR and high quality ≥64-slice CCTA. Diagnostic performance for predicting abnormal invasive FFR (≤0.80) was assessed for TAG [≤-1.1 HU/mm by the area under the curve (AUC) by receiver-operating characteristic curve analysis (ROC)], FFR(CT) (≤0.80), and CCTA stenosis (≥50%). On a per-vessel analysis (n = 146), 52 vessels (35.6%) had ischemia by invasive FFR. The sensitivity, specificity, positive predictive value and negative predictive value were 53.8, 45.7, 35.4, 64.2% for TAG, 82.7, 74.5, 64.2, 88.6% for FFR(CT), 84.6, 39.4, 43.6, 82.2% for CCTA stenosis, respectively. The AUC by ROC curve analysis for FFR(CT) (0.79) demonstrated greater discrimination of hemodynamic ischemia compared to TAG (0.50, p < 0.0001 vs. FFR(CT)), CCTA stenosis (0.62, p = 0.0004 vs. FFR(CT)) and the combination of the two (0.63, p = 0.004 vs. FFR(CT)). These results remained consistent regardless of the number of CCTA slices. FFR(CT) allows identification of lesion-specific ischemia using invasive FFR as a reference standard with greater diagnostic accuracy than TAG, CCTA stenosis, or the combination of the two.

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Year:  2015        PMID: 25904402     DOI: 10.1007/s10554-015-0666-2

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


  25 in total

1.  ACC/AHA guidelines for coronary angiography. A report of the American College of Cardiology/American Heart Association Task Force on practice guidelines (Committee on Coronary Angiography). Developed in collaboration with the Society for Cardiac Angiography and Interventions.

Authors:  P J Scanlon; D P Faxon; A M Audet; B Carabello; G J Dehmer; K A Eagle; R D Legako; D F Leon; J A Murray; S E Nissen; C J Pepine; R M Watson; J L Ritchie; R J Gibbons; M D Cheitlin; T J Gardner; A Garson; R O Russell; T J Ryan; S C Smith
Journal:  J Am Coll Cardiol       Date:  1999-05       Impact factor: 24.094

2.  Fractional flow reserve versus angiography for guiding percutaneous coronary intervention in patients with multivessel coronary artery disease: 2-year follow-up of the FAME (Fractional Flow Reserve Versus Angiography for Multivessel Evaluation) study.

Authors:  Nico H J Pijls; William F Fearon; Pim A L Tonino; Uwe Siebert; Fumiaki Ikeno; Bernhard Bornschein; Marcel van't Veer; Volker Klauss; Ganesh Manoharan; Thomas Engstrøm; Keith G Oldroyd; Peter N Ver Lee; Philip A MacCarthy; Bernard De Bruyne
Journal:  J Am Coll Cardiol       Date:  2010-05-28       Impact factor: 24.094

3.  Quantification of coronary artery calcium using ultrafast computed tomography.

Authors:  A S Agatston; W R Janowitz; F J Hildner; N R Zusmer; M Viamonte; R Detrano
Journal:  J Am Coll Cardiol       Date:  1990-03-15       Impact factor: 24.094

4.  Noninvasive diagnosis of ischemia-causing coronary stenosis using CT angiography: diagnostic value of transluminal attenuation gradient and fractional flow reserve computed from coronary CT angiography compared to invasively measured fractional flow reserve.

Authors:  Yeonyee E Yoon; Jin-Ho Choi; Ji-Hyun Kim; Kyung-Woo Park; Joon-Hyung Doh; Yong-Jin Kim; Bon-Kwon Koo; James K Min; Andrejs Erglis; Hyeon-Cheol Gwon; Yeon Hyeon Choe; Dong-Ju Choi; Hyo-Soo Kim; Byung-Hee Oh; Young-Bae Park
Journal:  JACC Cardiovasc Imaging       Date:  2012-11

5.  Additional value of transluminal attenuation gradient in CT angiography to predict hemodynamic significance of coronary artery stenosis.

Authors:  Wynand J Stuijfzand; Ibrahim Danad; Pieter G Raijmakers; C Bogdan Marcu; Martijn W Heymans; Cornelis C van Kuijk; Albert C van Rossum; Koen Nieman; James K Min; Jonathon Leipsic; Niels van Royen; Paul Knaapen
Journal:  JACC Cardiovasc Imaging       Date:  2014-03-13

6.  Diagnostic performance of intracoronary gradient-based methods by coronary computed tomography angiography for the evaluation of physiologically significant coronary artery stenoses: a validation study with fractional flow reserve.

Authors:  Jin-Ho Choi; Bon-Kwon Koo; Yeonyee E Yoon; James K Min; Young-Bin Song; Joo-Yong Hahn; Seung-Hyuk Choi; Hyeon-Cheol Gwon; Yeon Hyeon Choe
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2012-07-15       Impact factor: 6.875

7.  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.

Authors:  Bon-Kwon Koo; Andrejs Erglis; Joon-Hyung Doh; David V Daniels; Sanda Jegere; Hyo-Soo Kim; Allison Dunning; Tony DeFrance; Alexandra Lansky; Jonathan Leipsic; James K Min
Journal:  J Am Coll Cardiol       Date:  2011-11-01       Impact factor: 24.094

8.  Can differences in corrected coronary opacification measured with computed tomography predict resting coronary artery flow?

Authors:  Benjamin J W Chow; Malek Kass; Owen Gagné; Li Chen; Yeung Yam; Alexander Dick; George A Wells
Journal:  J Am Coll Cardiol       Date:  2011-03-15       Impact factor: 24.094

9.  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

10.  Diagnostic accuracy of fractional flow reserve from anatomic CT angiography.

Authors:  James K Min; Jonathon Leipsic; Michael J Pencina; Daniel S Berman; Bon-Kwon Koo; Carlos van Mieghem; Andrejs Erglis; Fay Y Lin; Allison M Dunning; Patricia Apruzzese; Matthew J Budoff; Jason H Cole; Farouc A Jaffer; Martin B Leon; Jennifer Malpeso; G B John Mancini; Seung-Jung Park; Robert S Schwartz; Leslee J Shaw; Laura Mauri
Journal:  JAMA       Date:  2012-09-26       Impact factor: 56.272

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  12 in total

1.  Additional diagnostic value of new CT imaging techniques for the functional assessment of coronary artery disease: a meta-analysis.

Authors:  Michèle Hamon; Damien Geindreau; Lydia Guittet; Christophe Bauters; Martial Hamon
Journal:  Eur Radiol       Date:  2019-01-07       Impact factor: 5.315

2.  Structure or entropy in reporting cardiac CT findings.

Authors:  Marc Dewey
Journal:  Int J Cardiovasc Imaging       Date:  2016-07-28       Impact factor: 2.357

3.  Anatomy and physiology in coronary artery disease imaging.

Authors:  Filippo Cademartiri; Erica Maffei
Journal:  J Nucl Cardiol       Date:  2017-08-16       Impact factor: 5.952

4.  Bridging the Atlantic gap in clinical guidelines for non-ST-elevation acute coronary syndromes.

Authors:  Francesco Nudi; Alessandro Nudi; Giuseppe Biondi-Zoccai; Orazio Schillaci
Journal:  J Nucl Cardiol       Date:  2018-02-12       Impact factor: 5.952

5.  Contrast opacification difference of mural artery and the transluminal attenuation gradient on coronary computed tomography angiography for detection of systolic compression of myocardial bridge.

Authors:  Yuanliang Xie; Xiang Wang; Wei Xie; Faxiang Chen; Shubo Gao; Yikai Xu
Journal:  Surg Radiol Anat       Date:  2018-04-17       Impact factor: 1.246

6.  Diagnostic performance of noninvasive fractional flow reserve derived from coronary computed tomography angiography in ischemia-causing coronary stenosis: a meta-analysis.

Authors:  Aimin Ding; Guoqing Qiu; Wensheng Lin; Ling Hu; Guangliang Lu; Xiang Long; Xin Hong; Yaohua Chen; Xiaoping Luo; Qinqin Tang; Dongqin Deng
Journal:  Jpn J Radiol       Date:  2016-10-28       Impact factor: 2.374

Review 7.  Plaque imaging with CT-a comprehensive review on coronary CT angiography based risk assessment.

Authors:  Márton Kolossváry; Bálint Szilveszter; Béla Merkely; Pál Maurovich-Horvat
Journal:  Cardiovasc Diagn Ther       Date:  2017-10

8.  Initial Simulated FFR Investigation Using Flow Measurements in Patient-specific 3D Printed Coronary Phantoms.

Authors:  Lauren Shepard; Kelsey Sommer; Richard Izzo; Alexander Podgorsak; Michael Wilson; Zaid Said; Frank J Rybicki; Dimitrios Mitsouras; Stephen Rudin; Erin Angel; Ciprian N Ionita
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2017-03-13

Review 9.  CT Imaging of the Vulnerable Plaque.

Authors:  Gary R Small; Benjamin J W Chow
Journal:  Curr Treat Options Cardiovasc Med       Date:  2017-11-06

10.  Improved diagnostic performance of transluminal attenuation gradient in combination with morphological evaluation of coronary artery stenosis using 320-row computed tomography.

Authors:  Kyohei Nagata; Ryoichi Tanaka; Hidenobu Takagi; Tetuya Fusazaki; Yoshihiro Morino; Kunihiro Yoshioka
Journal:  Jpn J Radiol       Date:  2017-11-06       Impact factor: 2.374

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