Literature DB >> 20093513

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

Jose A Rocha-Filho1, 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.   

Abstract

PURPOSE: First, to assess the feasibility of a protocol involving stress-induced perfusion evaluated at computed tomography (CT) combined with cardiac CT angiography in a single examination and second, to assess the incremental value of perfusion imaging over cardiac CT angiography in a dual-source technique for the detection of obstructive coronary artery disease (CAD) in a high-risk population.
MATERIALS AND METHODS: Institutional review board approval and informed patient consent were obtained before patient enrollment in the study. The study was HIPAA compliant. Thirty-five patients at high risk for CAD were prospectively enrolled for evaluation of the feasibility of CT perfusion imaging. All patients underwent retrospectively electrocardiographically gated (helical) adenosine stress CT perfusion imaging followed by prospectively electrocardiographically gated (axial) rest myocardial CT perfusion imaging. Analysis was performed in three steps: (a)Coronary arterial stenoses were scored for severity and reader confidence at cardiac CT angiography, (b)myocardial perfusion defects were identified and scored for severity and reversibility at CT perfusion imaging, and (c)coronary stenosis severity was reclassified according to perfusion findings at combined cardiac CT angiography and CT perfusion imaging. The sensitivity, specificity, negative predictive value (NPV), and positive predictive value (PPV) of cardiac CT angiography before and after CT perfusion analysis were calculated.
RESULTS: With use of a reference standard of greater than 50% stenosis at invasive angiography, all parameters of diagnostic accuracy increased after CT perfusion analysis: Sensitivity increased from 83% to 91%; specificity, from 71% to 91%; PPV, from 66% to 86%; and NPV, from 87% to 93%. The area under the receiver operating characteristic curve increased significantly, from 0.77 to 0.90 (P < .005).
CONCLUSION: A combination protocol involving adenosine perfusion CT imaging and cardiac CT angiography in a dual-source technique is feasible, and CT perfusion adds incremental value to cardiac CT angiography in the detection of significant CAD. (c) RSNA, 2010.

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Year:  2010        PMID: 20093513      PMCID: PMC2809927          DOI: 10.1148/radiol.09091014

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  27 in total

1.  Noninvasive coronary artery imaging: magnetic resonance angiography and multidetector computed tomography angiography: a scientific statement from the american heart association committee on cardiovascular imaging and intervention of the council on cardiovascular radiology and intervention, and the councils on clinical cardiology and cardiovascular disease in the young.

Authors:  David A Bluemke; Stephan Achenbach; Matthew Budoff; Thomas C Gerber; Bernard Gersh; L David Hillis; W Gregory Hundley; Warren J Manning; Beth Feller Printz; Matthias Stuber; Pamela K Woodard
Journal:  Circulation       Date:  2008-06-27       Impact factor: 29.690

Review 2.  Radiation dose to patients from cardiac diagnostic imaging.

Authors:  Andrew J Einstein; Kevin W Moser; Randall C Thompson; Manuel D Cerqueira; Milena J Henzlova
Journal:  Circulation       Date:  2007-09-11       Impact factor: 29.690

3.  Diagnostic accuracy of dual-source computed tomography in the diagnosis of coronary artery disease.

Authors:  Thorsten R C Johnson; Konstantin Nikolaou; Stephanie Busch; Alexander W Leber; Alexander Becker; Bernd J Wintersperger; Carsten Rist; Andreas Knez; Maximilian F Reiser; Christoph R Becker
Journal:  Invest Radiol       Date:  2007-10       Impact factor: 6.016

4.  Comparison of diagnostic accuracy of 64-slice computed tomography coronary angiography in patients with low, intermediate, and high cardiovascular risk.

Authors:  Lars Husmann; Tiziano Schepis; Hans Scheffel; Oliver Gaemperli; Sebastian Leschka; Ines Valenta; Pascal Koepfli; Lotus Desbiolles; Paul Stolzmann; Borut Marincek; Hatem Alkadhi; Philipp A Kaufmann
Journal:  Acad Radiol       Date:  2008-04       Impact factor: 3.173

5.  Dual source coronary computed tomography angiography for detecting in-stent restenosis.

Authors:  F Pugliese; A C Weustink; C Van Mieghem; F Alberghina; M Otsuka; W B Meijboom; N van Pelt; N R Mollet; F Cademartiri; G P Krestin; M G M Hunink; P J de Feyter
Journal:  Heart       Date:  2007-09-19       Impact factor: 5.994

6.  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

7.  Comprehensive assessment of myocardial perfusion defects, regional wall motion, and left ventricular function by using 64-section multidetector CT.

Authors:  Ricardo C Cury; Koen Nieman; Michael D Shapiro; Javed Butler; Cesar H Nomura; Maros Ferencik; Udo Hoffmann; Suhny Abbara; Davinder S Jassal; Tsunehiro Yasuda; Herman K Gold; Ik-Kyung Jang; Thomas J Brady
Journal:  Radiology       Date:  2008-08       Impact factor: 11.105

8.  Optimal medical therapy with or without percutaneous coronary intervention to reduce ischemic burden: results from the Clinical Outcomes Utilizing Revascularization and Aggressive Drug Evaluation (COURAGE) trial nuclear substudy.

Authors:  Leslee J Shaw; Daniel S Berman; David J Maron; G B John Mancini; Sean W Hayes; Pamela M Hartigan; William S Weintraub; Robert A O'Rourke; Marcin Dada; John A Spertus; Bernard R Chaitman; John Friedman; Piotr Slomka; Gary V Heller; Guido Germano; Gilbert Gosselin; Peter Berger; William J Kostuk; Ronald G Schwartz; Merill Knudtson; Emir Veledar; Eric R Bates; Benjamin McCallister; Koon K Teo; William E Boden
Journal:  Circulation       Date:  2008-02-11       Impact factor: 29.690

9.  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.

Authors:  Matthew J Budoff; David Dowe; James G Jollis; Michael Gitter; John Sutherland; Edward Halamert; Markus Scherer; Raye Bellinger; Arthur Martin; Robert Benton; Augustin Delago; James K Min
Journal:  J Am Coll Cardiol       Date:  2008-11-18       Impact factor: 24.094

10.  Integrated single-photon emission computed tomography and computed tomography coronary angiography for the assessment of hemodynamically significant coronary artery lesions.

Authors:  Shmuel Rispler; Zohar Keidar; Eduard Ghersin; Ariel Roguin; Adrian Soil; Robert Dragu; Diana Litmanovich; Alex Frenkel; Doron Aronson; Ahuva Engel; Rafael Beyar; Ora Israel
Journal:  J Am Coll Cardiol       Date:  2007-02-26       Impact factor: 24.094

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  69 in total

1.  A comparison of reconstruction and viewing parameters on image quality and accuracy of stress myocardial CT perfusion.

Authors:  Brian B Ghoshhajra; Ian S Rogers; Pal Maurovich-Horvat; Tust Techasith; Daniel Verdini; Manavjot S Sidhu; Nicola K Drzezga; Hector M Medina; Ron Blankstein; Thomas J Brady; Ricardo C Cury
Journal:  J Cardiovasc Comput Tomogr       Date:  2011-10-31

2.  Patterns of myocardial perfusion in humans evaluated with contrast-enhanced 320 multidetector computed tomography.

Authors:  J Tobias Kühl; Jesper J Linde; Andreas Fuchs; Thomas S Kristensen; Henning Kelbæk; Richard T George; Jens D Hove; Klaus Fuglsang Kofoed
Journal:  Int J Cardiovasc Imaging       Date:  2011-12-06       Impact factor: 2.357

Review 3.  Stress CT perfusion: coupling coronary anatomy with physiology.

Authors:  Edward A Hulten; Marcio Sommer Bittencourt; Brian Ghoshhajra; Ron Blankstein
Journal:  J Nucl Cardiol       Date:  2012-06       Impact factor: 5.952

Review 4.  Prognosis in the era of comparative effectiveness research: where is nuclear cardiology now and where should it be?

Authors:  Leslee J Shaw; Fadi G Hage; Daniel S Berman; Rory Hachamovitch; Ami Iskandrian
Journal:  J Nucl Cardiol       Date:  2012-10       Impact factor: 5.952

5.  Myocardial perfusion imaging and infarct characterization using multidetector cardiac computed tomography.

Authors:  Gastón A Rodríguez-Granillo; Carlos A Ingino; Pedro Lylyk
Journal:  World J Cardiol       Date:  2010-07-21

Review 6.  Advances in stress cardiac MRI and computed tomography.

Authors:  Yasmin S Hamirani; Christopher M Kramer
Journal:  Future Cardiol       Date:  2013-09

7.  Quantitative analysis of left ventricular dyssynchrony using cardiac computed tomography versus three-dimensional echocardiography.

Authors:  Sebastian J Buss; Felix Schulz; David Wolf; Waldemar Hosch; Christian Galuschky; Georg Schummers; Evangelos Giannitsis; Hans-Ulrich Kauczor; Christian Zugck; Ruediger Becker; Stefan E Hardt; Hugo A Katus; Grigorios Korosoglou
Journal:  Eur Radiol       Date:  2012-01-22       Impact factor: 5.315

8.  Dynamic CT myocardial perfusion imaging: performance of 3D semi-automated evaluation software.

Authors:  Ullrich Ebersberger; Roy P Marcus; U Joseph Schoepf; Gladys G Lo; Yining Wang; Philipp Blanke; Lucas L Geyer; J Cranston Gray; Andrew D McQuiston; Young Jun Cho; Michael Scheuering; Christian Canstein; Konstantin Nikolaou; Ellen Hoffmann; Fabian Bamberg
Journal:  Eur Radiol       Date:  2013-09-07       Impact factor: 5.315

Review 9.  CT-based myocardial perfusion imaging-practical considerations: acquisition, image analysis, interpretation, and challenges.

Authors:  Vishal C Mehra; Marietta Ambrose; Carolina Valdiviezo-Schlomp; Karl H Schuleri; Albert C Lardo; Joao A C Lima; Richard T George
Journal:  J Cardiovasc Transl Res       Date:  2011-06-14       Impact factor: 4.132

10.  Current status of cardiac CT for the detection of myocardial ischemia.

Authors:  A Schuhbäck; M Marwan; R C Cury; S Achenbach
Journal:  Herz       Date:  2013-06       Impact factor: 1.443

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