Literature DB >> 9264483

Detection of coronary artery disease with myocardial contrast echocardiography: comparison with 99mTc-sestamibi single-photon emission computed tomography.

S Kaul1, R Senior, H Dittrich, U Raval, R Khattar, A Lahiri.   

Abstract

BACKGROUND: The purpose of this study was to determine whether myocardial contrast echocardiography (MCE) can be used to detect coronary artery disease (CAD) during rest and pharmacological stress in humans through the use of venous injections of contrast. METHODS AND
RESULTS: Thirty patients with known or suspected CAD underwent MCE and 99mTc-sestamibi single-photon emission computed tomography (SPECT) at baseline and after dipyridamole (0.56 mg x kg(-1)) infusion. Ten myocardial segments (5 each in the apical two- and four-chamber views) from the two sets of images using both methods were scored for myocardial perfusion as follows: 1=normal, 0.5=mildly reduced, and 0=severely reduced. The information from baseline and postdipyridamole images was then used to determine whether an abnormal segment was irreversible (similar abnormal perfusion at baseline and after dipyridamole) or reversible (perfusion better at baseline compared with after dipyridamole). Concordance between segmental scores was 92% (kappa=.99) for both methods. Concordance between normal perfusion and reversible or irreversible segmental defects was 90% (kappa=.80). Agreem between the two methods for each of the three vascular territories in each patient was 90% (kappa=.77), while agreement for the presence or absence of CAD in each patient was 86% (kappa=.86). In the 4 patients with disagreement, the perfusion scores were 0.5 for SPECT and 1.0 for MCE.
CONCLUSIONS: This study shows that MCE, with venous injection of contrast, can define the presence of CAD during rest and pharmacological stress. The location of perfusion abnormalities and their physiologic relevance (reversible or irreversible) by MCE is similar to that provided by SPECT. MCE, therefore, holds promise for the noninvasive assessment of myocardial perfusion in humans.

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Year:  1997        PMID: 9264483

Source DB:  PubMed          Journal:  Circulation        ISSN: 0009-7322            Impact factor:   29.690


  42 in total

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Authors:  J Hancock; H Dittrich; D E Jewitt; M J Monaghan
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3.  Acute assessment of microvascular perfusion patterns by myocardial contrast echocardiography during myocardial infarction: relation to timing and extent of functional recovery.

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Journal:  Heart       Date:  1999-01       Impact factor: 5.994

Review 4.  Diagnosis of coronary artery disease by radionuclide myocardial perfusion imaging.

Authors:  C Y Loong; C Anagnostopoulos
Journal:  Heart       Date:  2004-08       Impact factor: 5.994

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6.  Diagnostic accuracy of contrast echocardiography during adenosine stress for detection of abnormal myocardial perfusion: a prospective comparison with technetium-99 m sestamibi single-photon emission computed tomography.

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Review 7.  Cardiac imaging in coronary artery disease: differing modalities.

Authors:  J D Schuijf; L J Shaw; W Wijns; H J Lamb; D Poldermans; A de Roos; E E van der Wall; J J Bax
Journal:  Heart       Date:  2005-08       Impact factor: 5.994

8.  Detection of coronary artery disease using real-time myocardial contrast echocardiography: a comparison with dual-isotope resting thallium-201/stress technectium-99m sestamibi single-photon emission computed tomography.

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9.  Changes in transmural distribution of myocardial perfusion assessed by quantitative intravenous myocardial contrast echocardiography in humans.

Authors:  S Fukuda; T Muro; T Hozumi; H Watanabe; K Shimada; M Yoshiyama; K Takeuchi; J Yoshikawa
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Review 10.  Imaging the myocardial ischemic cascade.

Authors:  Arthur E Stillman; Matthijs Oudkerk; David A Bluemke; Menko Jan de Boer; Jens Bremerich; Ernest V Garcia; Matthias Gutberlet; Pim van der Harst; W Gregory Hundley; Michael Jerosch-Herold; Dirkjan Kuijpers; Raymond Y Kwong; Eike Nagel; Stamatios Lerakis; John Oshinski; Jean-François Paul; Riemer H J A Slart; Vinod Thourani; Rozemarijn Vliegenthart; Bernd J Wintersperger
Journal:  Int J Cardiovasc Imaging       Date:  2018-03-19       Impact factor: 2.357

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