Literature DB >> 28540209

Myocardial blood flow quantification for evaluation of coronary artery disease by computed tomography.

Filippo Cademartiri1,2, Sara Seitun3, Alberto Clemente4, Ludovico La Grutta5, Patrizia Toia5, Giuseppe Runza6, Massimo Midiri5, Erica Maffei1.   

Abstract

During the last decade coronary computed tomography angiography (CTA) has become the preeminent non-invasive imaging modality to detect coronary artery disease (CAD) with high accuracy. However, CTA has a limited value in assessing the hemodynamic significance of a given stenosis due to a modest specificity and positive predictive value. In recent years, different CT techniques for detecting myocardial ischemia have emerged, such as CT-derived fractional flow reserve (FFR-CT), transluminal attenuation gradient (TAG), and myocardial CT perfusion (CTP) imaging. Myocardial CTP imaging can be performed with a single static scan during first pass of the contrast agent, with monoenergetic or dual-energy acquisition, or as a dynamic, time-resolved scan during stress by using coronary vasodilator agents (adenosine, dipyridamole, or regadenoson). A number of CTP techniques are available, which can assess myocardial perfusion in both a qualitative, semi-quantitative or quantitative manner. Once used primarily as research tools, these modalities are increasingly being used in routine clinical practice. All these techniques offer the substantial advantage of combining anatomical and functional evaluation of flow-limiting coronary stenosis in the same examination that would be beneficial for clinical decision-making. This review focuses on the state-of the-art and future trends of these evolving imaging modalities in the field of cardiology for the physiologic assessments of CAD.

Entities:  

Keywords:  Cardiac computed tomography; coronary artery disease (CAD); myocardial blood flow quantification; myocardial perfusion imaging; stress imaging

Year:  2017        PMID: 28540209      PMCID: PMC5422837          DOI: 10.21037/cdt.2017.03.22

Source DB:  PubMed          Journal:  Cardiovasc Diagn Ther        ISSN: 2223-3652


  94 in total

1.  Myocardial CT perfusion imaging in a large animal model: comparison of dynamic versus single-phase acquisitions.

Authors:  Florian Schwarz; Rabea Hinkel; Elisabeth Baloch; Roy P Marcus; Kristof Hildebrandt; Torleif A Sandner; Christian Kupatt; Verena Hoffmann; Bernd J Wintersperger; Maximilian F Reiser; Daniel Theisen; Konstantin Nikolaou; Fabian Bamberg
Journal:  JACC Cardiovasc Imaging       Date:  2013-10-23

2.  Diagnostic accuracy of combined coronary angiography and adenosine stress myocardial perfusion imaging using 320-detector computed tomography: pilot study.

Authors:  Arthur Nasis; Brian S Ko; Michael C Leung; Paul R Antonis; Dee Nandurkar; Dennis T Wong; Leo Kyi; James D Cameron; John M Troupis; Ian T Meredith; Sujith K Seneviratne
Journal:  Eur Radiol       Date:  2013-02-21       Impact factor: 5.315

3.  Combined coronary angiography and myocardial perfusion by computed tomography in the identification of flow-limiting stenosis - The CORE320 study: An integrated analysis of CT coronary angiography and myocardial perfusion.

Authors:  Tiago A Magalhães; Satoru Kishi; Richard T George; Armin Arbab-Zadeh; Andrea L Vavere; Christopher Cox; Matthew B Matheson; Julie M Miller; Jeffrey Brinker; Marcelo Di Carli; Frank J Rybicki; Carlos E Rochitte; Melvin E Clouse; João A C Lima
Journal:  J Cardiovasc Comput Tomogr       Date:  2015-03-21

4.  Angiographic versus functional severity of coronary artery stenoses in the FAME study fractional flow reserve versus angiography in multivessel evaluation.

Authors:  Pim A L Tonino; William F Fearon; Bernard De Bruyne; Keith G Oldroyd; Massoud A Leesar; Peter N Ver Lee; Philip A Maccarthy; Marcel Van't Veer; Nico H J Pijls
Journal:  J Am Coll Cardiol       Date:  2010-06-22       Impact factor: 24.094

5.  Optimal Scan Time for Single-Phase Myocardial Computed Tomography Perfusion to Detect Myocardial Ischemia - Derivation Cohort From Dynamic Myocardial Computed Tomography Perfusion.

Authors:  Yuki Tanabe; Teruhito Kido; Akira Kurata; Teruyoshi Uetani; Naoki Fukuyama; Takahiro Yokoi; Hikaru Nishiyama; Tomoyuki Kido; Masao Miyagawa; Teruhito Mochizuki
Journal:  Circ J       Date:  2016-10-28       Impact factor: 2.993

6.  Adenosine stress high-pitch 128-slice dual-source myocardial computed tomography perfusion for imaging of reversible myocardial ischemia: comparison with magnetic resonance imaging.

Authors:  Gudrun Feuchtner; Robert Goetti; André Plass; Monika Wieser; Hans Scheffel; Christophe Wyss; Paul Stolzmann; Olivio Donati; Johannes Schnabl; Volkmar Falk; Hatem Alkadhi; Sebastian Leschka; Ricardo C Cury
Journal:  Circ Cardiovasc Imaging       Date:  2011-08-23       Impact factor: 7.792

7.  Myocardial ischemia detection with single-phase CT perfusion in symptomatic patients using high-pitch helical image acquisition technique.

Authors:  Bernhard Bischoff; Simon Deseive; Martin Rampp; Andrei Todica; Marc Wermke; Stefan Martinoff; Steffen Massberg; Maximilian F Reiser; Hans-Christoph Becker; Jörg Hausleiter
Journal:  Int J Cardiovasc Imaging       Date:  2016-11-15       Impact factor: 2.357

8.  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

9.  Incremental value of adenosine-induced stress myocardial perfusion imaging with dual-source CT at cardiac CT angiography.

Authors:  Jose A Rocha-Filho; Ron Blankstein; Leonid D Shturman; Hiram G Bezerra; David R Okada; Ian S Rogers; Brian Ghoshhajra; Udo Hoffmann; Gudrun Feuchtner; Wilfred S Mamuya; Thomas J Brady; Ricardo C Cury
Journal:  Radiology       Date:  2010-02       Impact factor: 11.105

10.  Noninvasive evaluation of coronary collateral arterial flow by coronary computed tomographic angiography.

Authors:  Jin-Ho Choi; Eun Kyoung Kim; Sung Mok Kim; Young Bin Song; Joo-Yong Hahn; Seung Hyuk Choi; Hyeon-Cheol Gwon; Sang Hoon Lee; Yeon Hyeon Choe; Jae K Oh
Journal:  Circ Cardiovasc Imaging       Date:  2014-04-03       Impact factor: 7.792

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  13 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

Review 2.  Diagnostic imaging in the management of patients with metabolic syndrome.

Authors:  Seo Rin Kim; Lilach O Lerman
Journal:  Transl Res       Date:  2017-11-22       Impact factor: 7.012

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.  Assessment of Semi-automated Computed Tomographic Measures of Segmental Perfusion Defects in a Swine Model (Sus scrofa) of Intermediate Coronary Lesions.

Authors:  Bryan C Ramsey; Amy E Field; Dustin M Thomas; Christopher A Pickett; Alisa J Leon; Bernard J Rubal
Journal:  Comp Med       Date:  2020-04-30       Impact factor: 0.982

5.  Comprehensive morphologic and functional imaging of heart transplant patients: first experience with dynamic perfusion CT.

Authors:  S Oebel; S Hamada; K Higashigaito; J von Spiczak; E Klotz; F Enseleit; R Hinzpeter; F Ruschitzka; R Manka; H Alkadhi
Journal:  Eur Radiol       Date:  2018-04-30       Impact factor: 5.315

6.  Effect of Cardiac Phase on Cardiac Output Index Derived from Dynamic CT Myocardial Perfusion Imaging.

Authors:  Sergio C H Dempsey; Ting-Yim Lee; Abbas Samani; Aaron So
Journal:  Tomography       Date:  2022-04-14

Review 7.  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

Review 8.  Clinical Applications of Wide-Detector CT Scanners for Cardiothoracic Imaging: An Update.

Authors:  Eun Ju Kang
Journal:  Korean J Radiol       Date:  2019-12       Impact factor: 3.500

9.  Computational Assessment of Blood Flow Heterogeneity in Peritoneal Dialysis Patients' Cardiac Ventricles.

Authors:  Sanjay R Kharche; Aaron So; Fabio Salerno; Ting-Yim Lee; Chris Ellis; Daniel Goldman; Christopher W McIntyre
Journal:  Front Physiol       Date:  2018-05-17       Impact factor: 4.566

10.  The Effects of a Vasodilator on Transluminal Attenuation Gradient at Coronary Computed Tomography Angiography.

Authors:  Moon Sung Kim; Eun Ju Kang; Hyun Jin Kim; Moo Hyun Kim; Ki Nam Lee
Journal:  Korean J Radiol       Date:  2020-08-04       Impact factor: 3.500

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