Literature DB >> 27956409

Functional Assessment of Coronary Artery Disease Using Whole-Heart Dynamic Computed Tomographic Perfusion.

Logan Hubbard1, Benjamin Ziemer1, Jerry Lipinski1, Bahman Sadeghi1, Hanna Javan1, Elliott M Groves1, Shant Malkasian1, Sabee Molloi2.   

Abstract

BACKGROUND: Computed tomographic (CT) angiography is an important tool for the evaluation of coronary artery disease but often correlates poorly with myocardial ischemia. Current dynamic CT perfusion techniques can assess ischemia but have limited accuracy and deliver high radiation dose. Therefore, an accurate, low-dose, dynamic CT perfusion technique is needed. METHODS AND
RESULTS: A total of 20 contrast-enhanced CT volume scans were acquired in 5 swine (40±10 kg) to generate CT angiography and perfusion images. Varying degrees of stenosis were induced using a balloon catheter in the proximal left anterior descending coronary artery, and a pressure wire was used for reference fractional flow reserve (FFR) measurement. Perfusion measurements were made with only 2 volume scans using a new first-pass analysis (FPA) technique and with 20 volume scans using an existing maximum slope model (MSM) technique. Perfusion (P) and FFR measurements were related by PFPA=1.01 FFR-0.03 (R2=0.85) and PMSM=1.03 FFR-0.03 (R2=0.80) for FPA and MSM techniques, respectively. Additionally, the effective radiation doses were calculated to be 2.64 and 26.4 mSv for FPA and MSM techniques, respectively.
CONCLUSIONS: A new FPA-based dynamic CT perfusion technique was validated in a swine animal model. The results indicate that the FPA technique can potentially be used for improved anatomical and functional assessment of coronary artery disease at a relatively low radiation dose.
© 2016 American Heart Association, Inc.

Entities:  

Keywords:  angiography; coronary disease; fractional flow reserve; perfusion; tomography

Mesh:

Year:  2016        PMID: 27956409      PMCID: PMC5517296          DOI: 10.1161/CIRCIMAGING.116.005325

Source DB:  PubMed          Journal:  Circ Cardiovasc Imaging        ISSN: 1941-9651            Impact factor:   7.792


  42 in total

1.  Physiological assessment of coronary artery disease in the cardiac catheterization laboratory: a scientific statement from the American Heart Association Committee on Diagnostic and Interventional Cardiac Catheterization, Council on Clinical Cardiology.

Authors:  Morton J Kern; Amir Lerman; Jan-Willen Bech; Bernard De Bruyne; Eric Eeckhout; William F Fearon; Stuart T Higano; Michael J Lim; Martijn Meuwissen; Jan J Piek; Nico H J Pijls; Maria Siebes; Jos A E Spaan
Journal:  Circulation       Date:  2006-08-28       Impact factor: 29.690

2.  Myocardium: dynamic versus single-shot CT perfusion imaging.

Authors:  Armin M Huber; Vivian Leber; Bettina M Gramer; Daniela Muenzel; Alexander Leber; Johannes Rieber; Martin Schmidt; Mani Vembar; Ellen Hoffmann; Ernst Rummeny
Journal:  Radiology       Date:  2013-06-20       Impact factor: 11.105

3.  A concordance correlation coefficient to evaluate reproducibility.

Authors:  L I Lin
Journal:  Biometrics       Date:  1989-03       Impact factor: 2.571

4.  Correlation of the antemortem coronary arteriogram and the postmortem specimen.

Authors:  Z Vlodaver; R Frech; R A Van Tassel; J E Edwards
Journal:  Circulation       Date:  1973-01       Impact factor: 29.690

5.  Effect of contrast media on coronary vascular resistance: contrast-induced coronary vasodilation.

Authors:  E M Baile; P D Paré; Y D'yachkova; R G Carere
Journal:  Chest       Date:  1999-10       Impact factor: 9.410

6.  Quantitative assessment of myocardial perfusion in the detection of significant coronary artery disease: cutoff values and diagnostic accuracy of quantitative [(15)O]H2O PET imaging.

Authors:  Ibrahim Danad; Valtteri Uusitalo; Tanja Kero; Antti Saraste; Pieter G Raijmakers; Adriaan A Lammertsma; Martijn W Heymans; Sami A Kajander; Mikko Pietilä; Stefan James; Jens Sörensen; Paul Knaapen; Juhani Knuuti
Journal:  J Am Coll Cardiol       Date:  2014-10-07       Impact factor: 24.094

7.  Stress and rest dynamic myocardial perfusion imaging by evaluation of complete time-attenuation curves with dual-source CT.

Authors:  Kheng-Thye Ho; Kia-Chong Chua; Ernst Klotz; Christoph Panknin
Journal:  JACC Cardiovasc Imaging       Date:  2010-08

8.  Detection of hemodynamically significant coronary artery stenosis: incremental diagnostic value of dynamic CT-based myocardial perfusion imaging.

Authors:  Fabian Bamberg; Alexander Becker; Florian Schwarz; Roy P Marcus; Martin Greif; Franz von Ziegler; Ron Blankstein; Udo Hoffmann; Wieland H Sommer; Verena S Hoffmann; Thorsten R C Johnson; Hans-Christoph R Becker; Bernd J Wintersperger; Maximilian F Reiser; Konstantin Nikolaou
Journal:  Radiology       Date:  2011-09       Impact factor: 11.105

9.  CT stress perfusion imaging for detection of haemodynamically relevant coronary stenosis as defined by FFR.

Authors:  Martin Greif; Franz von Ziegler; Fabian Bamberg; Janine Tittus; Florian Schwarz; Melvin D'Anastasi; Roy P Marcus; Jan Schenzle; Christoph Becker; Konstantin Nikolaou; Alexander Becker
Journal:  Heart       Date:  2013-05-14       Impact factor: 5.994

10.  Estimation of regional myocardial mass at risk based on distal arterial lumen volume and length using 3D micro-CT images.

Authors:  Huy Le; Jerry T Wong; Sabee Molloi
Journal:  Comput Med Imaging Graph       Date:  2008-07-01       Impact factor: 4.790

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  13 in total

1.  The role of acquisition and quantification methods in myocardial blood flow estimability for myocardial perfusion imaging CT.

Authors:  Brendan L Eck; Raymond F Muzic; Jacob Levi; Hao Wu; Rachid Fahmi; Yuemeng Li; Anas Fares; Mani Vembar; Amar Dhanantwari; Hiram G Bezerra; David L Wilson
Journal:  Phys Med Biol       Date:  2018-09-13       Impact factor: 3.609

2.  Absolute cerebral blood flow: Assessment with a novel low-radiation-dose dynamic CT perfusion technique in a swine model.

Authors:  Pablo Abbona; Yixiao Zhao; Logan Hubbard; Shant Malkasian; Brooklynn Flynn; Sabee Molloi
Journal:  J Neuroradiol       Date:  2021-10-09       Impact factor: 4.600

3.  Combining perfusion and angiography with a low-dose cardiac CT technique: a preliminary investigation in a swine model.

Authors:  Logan Hubbard; Shant Malkasian; Yixiao Zhao; Pablo Abbona; Sabee Molloi
Journal:  Int J Cardiovasc Imaging       Date:  2021-01-27       Impact factor: 2.357

4.  Validation of myocardial perfusion quantification by dynamic CT in an ex-vivo porcine heart model.

Authors:  Gert Jan Pelgrim; Marco Das; Sjoerd van Tuijl; Marly van Assen; Frits W Prinzen; Marco Stijnen; Matthijs Oudkerk; Joachim E Wildberger; Rozemarijn Vliegenthart
Journal:  Int J Cardiovasc Imaging       Date:  2017-05-23       Impact factor: 2.357

Review 5.  CT Myocardial Perfusion Imaging: A New Frontier in Cardiac Imaging.

Authors:  Sara Seitun; Cecilia De Lorenzi; Filippo Cademartiri; Angelo Buscaglia; Nicole Travaglio; Manrico Balbi; Gian Paolo Bezante
Journal:  Biomed Res Int       Date:  2018-10-14       Impact factor: 3.411

6.  Timing optimization of low-dose first-pass analysis dynamic CT myocardial perfusion measurement: validation in a swine model.

Authors:  Logan Hubbard; Shant Malkasian; Yixiao Zhao; Pablo Abbona; Sabee Molloi
Journal:  Eur Radiol Exp       Date:  2019-04-03

7.  Low-Radiation-Dose Stress Myocardial Perfusion Measurement Using First-Pass Analysis Dynamic Computed Tomography: A Preliminary Investigation in a Swine Model.

Authors:  Logan Hubbard; Shant Malkasian; Yixiao Zhao; Pablo Abbona; Jungnam Kwon; Sabee Molloi
Journal:  Invest Radiol       Date:  2019-12       Impact factor: 6.016

8.  Comprehensive Assessment of Coronary Artery Disease by Using First-Pass Analysis Dynamic CT Perfusion: Validation in a Swine Model.

Authors:  Logan Hubbard; Jerry Lipinski; Benjamin Ziemer; Shant Malkasian; Bahman Sadeghi; Hanna Javan; Elliott M Groves; Brian Dertli; Sabee Molloi
Journal:  Radiology       Date:  2017-10-23       Impact factor: 11.105

9.  Comparison of automated beam hardening correction (ABHC) algorithms for myocardial perfusion imaging using computed tomography.

Authors:  Jacob Levi; Hao Wu; Brendan L Eck; Rachid Fahmi; Mani Vembar; Amar Dhanantwar; Anas Fares; Hiram G Bezerra; David L Wilson
Journal:  Med Phys       Date:  2020-12-07       Impact factor: 4.506

10.  Quantification of vessel-specific coronary perfusion territories using minimum-cost path assignment and computed tomography angiography: Validation in a swine model.

Authors:  Shant Malkasian; Logan Hubbard; Brian Dertli; Jungnam Kwon; Sabee Molloi
Journal:  J Cardiovasc Comput Tomogr       Date:  2018-06-18
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