Literature DB >> 22210535

Infarct detection with a comprehensive cardiac CT protocol.

Brian B Ghoshhajra1, Pal Maurovich-Horvat, Tust Techasith, Hector M Medina, Daniel Verdini, Manavjot S Sidhu, Ron Blankstein, Thomas J Brady, Ricardo C Cury.   

Abstract

BACKGROUND: Cardiac CT has the potential to offer comprehensive infarct detection by assessing regional wall motion abnormalities (RWMAs), rest perfusion defects (RPDs), and delayed contrast enhancement (DCE). However, the diagnostic accuracy of these techniques for the detection of myocardial infarction (MI) is unknown.
METHODS: Forty-eight patients with intermediate-to-high probability for coronary artery disease after single-photon emitting CT myocardial perfusion imaging were prospectively enrolled for a research comprehensive 64-detector row dual-source cardiac CT protocol that included cine images for RWMA, first-pass images for RPD, and delayed images for DCE. Blinded readers independently assessed each technique. Subsequently, a final combined analysis (cine + rest + DCE) was performed. The universal definition for MI by the 2007 American Heart Association task force was used as the "gold standard."
RESULTS: Twenty-four of 48 patients (50%) had infarct by the universal definition. The combined CT analysis was most accurate (90%) with the highest per-patient sensitivity (88%) and specificity (92%) versus individual assessments (RWMA, 79% and 88%; RPD, 67% and 92%; DCE, 79% and 88%). Similar findings were observed on a per-vessel basis analysis. A combination of DCE and cine showed a good accuracy (85%) and high sensitivity (92%).
CONCLUSIONS: Infarct detection with CT is feasible with overall good diagnostic accuracy compared with the universal definition. A combined evaluation that included all techniques (cine, RPD, and DCE) had the highest diagnostic accuracy. These findings may have implications when designing future clinical and research CT protocols for optimal infarct detection.
Copyright © 2012 Society of Cardiovascular Computed Tomography. Published by Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 22210535      PMCID: PMC7034656          DOI: 10.1016/j.jcct.2011.10.014

Source DB:  PubMed          Journal:  J Cardiovasc Comput Tomogr        ISSN: 1876-861X


  35 in total

1.  Infarct detection or infarct characterization? Noncontrast CT and its implications for characterizing chronic myocardial scar.

Authors:  Richard T George; Albert C Lardo
Journal:  J Cardiovasc Comput Tomogr       Date:  2010-03-06

2.  Diagnostic performance of stress perfusion and delayed-enhancement MR imaging in patients with coronary artery disease.

Authors:  Ricardo C Cury; Cesar A M Cattani; Luiz A G Gabure; Douglas J Racy; Jose M de Gois; Uwe Siebert; Sergio S Lima; Thomas J Brady
Journal:  Radiology       Date:  2006-07       Impact factor: 11.105

3.  Randomized comparison of 64-slice single- and dual-source computed tomography coronary angiography for the detection of coronary artery disease.

Authors:  Stephan Achenbach; Ulrike Ropers; Axel Kuettner; Katharina Anders; Tobias Pflederer; Sei Komatsu; Werner Bautz; Werner G Daniel; Dieter Ropers
Journal:  JACC Cardiovasc Imaging       Date:  2008-03

4.  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

5.  Radiation dose of cardiac dual-source CT: the effect of tailoring the protocol to patient-specific parameters.

Authors:  Hatem Alkadhi; Paul Stolzmann; Hans Scheffel; Lotus Desbiolles; Stephan Baumüller; André Plass; Michele Genoni; Borut Marincek; Sebastian Leschka
Journal:  Eur J Radiol       Date:  2008-10-30       Impact factor: 3.528

6.  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

7.  Ventricular myocardial fat: CT findings and clinical correlates.

Authors:  Adam H Jacobi; Arash Gohari; Benjamin Zalta; Marjorie W Stein; Linda B Haramati
Journal:  J Thorac Imaging       Date:  2007-05       Impact factor: 3.000

8.  Adenosine stress 64- and 256-row detector computed tomography angiography and perfusion imaging: a pilot study evaluating the transmural extent of perfusion abnormalities to predict atherosclerosis causing myocardial ischemia.

Authors:  Richard T George; Armin Arbab-Zadeh; Julie M Miller; Kakuya Kitagawa; Hyuk-Jae Chang; David A Bluemke; Lewis Becker; Omair Yousuf; John Texter; Albert C Lardo; João A C Lima
Journal:  Circ Cardiovasc Imaging       Date:  2009-03-31       Impact factor: 7.792

Review 9.  Practical tips and tricks in cardiovascular computed tomography: diagnosis of myocardial infarction.

Authors:  Ron Blankstein; Ian S Rogers; Ricardo C Cury
Journal:  J Cardiovasc Comput Tomogr       Date:  2008-11-05

10.  Adipose tissue in myocardial infarction.

Authors:  Leon Su; John E Siegel; Michael C Fishbein
Journal:  Cardiovasc Pathol       Date:  2004 Mar-Apr       Impact factor: 2.185

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  6 in total

1.  Early resting myocardial computed tomography perfusion for the detection of acute coronary syndrome in patients with coronary artery disease.

Authors:  Amit Pursnani; Ashley M Lee; Thomas Mayrhofer; Waleed Ahmed; Shanmugam Uthamalingam; Maros Ferencik; Stefan B Puchner; Fabian Bamberg; Christopher L Schlett; James Udelson; Udo Hoffmann; Brian B Ghoshhajra
Journal:  Circ Cardiovasc Imaging       Date:  2015-03       Impact factor: 7.792

Review 2.  Updates on Stress Imaging Testing and Myocardial Viability With Advanced Imaging Modalities.

Authors:  Sandeep S Hedgire; Michael Osborne; Daniel J Verdini; Brian B Ghoshhajra
Journal:  Curr Treat Options Cardiovasc Med       Date:  2017-04

3.  Myocardial density analysis utilizing automated myocardial defect analysis software on resting 320-detector MDCT.

Authors:  John M Troupis; Alex Karge; Sujith Seneviratne; Arthur Nasis; Eileen C Ang; Brian S Ko; Dee Nandurkar; Eldho Paul; Roland Hilling-Smith; James Cameron
Journal:  Int J Cardiovasc Imaging       Date:  2013-01-03       Impact factor: 2.357

Review 4.  Myocardial perfusion imaging with cardiac computed tomography: state of the art.

Authors:  Amit R Patel; Nicole M Bhave; Victor Mor-Avi
Journal:  J Cardiovasc Transl Res       Date:  2013-08-21       Impact factor: 4.132

Review 5.  Noninvasive physiologic assessment of coronary stenoses using cardiac CT.

Authors:  Lei Xu; Zhonghua Sun; Zhanming Fan
Journal:  Biomed Res Int       Date:  2015-01-20       Impact factor: 3.411

Review 6.  Korean guidelines for the appropriate use of cardiac CT.

Authors:  Young Jin Kim; Hwan Seok Yong; Sung Mok Kim; Jeong A Kim; Dong Hyun Yang; Yoo Jin Hong
Journal:  Korean J Radiol       Date:  2015-02-27       Impact factor: 3.500

  6 in total

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