Literature DB >> 9230147

Identification of severe or extensive coronary artery disease in women by adenosine technetium-99m sestamibi SPECT.

A M Amanullah1, D S Berman, R Hachamovitch, H Kiat, X Kang, J D Friedman.   

Abstract

To assess the ability of adenosine technetium-99m sestamibi myocardial perfusion single-photon emission computed tomography (SPECT) to identify high-risk women with severe or extensive coronary artery disease (CAD), we studied 130 consecutive women who underwent adenosine sestamibi myocardial perfusion SPECT and catheterization within 2 months. Severe (> or = 50% stenosis of left main coronary artery, > or = 90% stenosis in the proximal left anterior descending or in > or = 2 coronary arteries) or extensive (> or = 70% stenosis in 3 vessels) CAD was present in 54 patients, whereas 76 had no CAD or mild to moderate CAD. Semiquantitative visual SPECT analysis used 20 segments and a 5-point scoring system (0 = normal, 4 = absent uptake). Among the clinical, hemodynamic and nuclear variables analyzed, univariate predictors of severe or extensive CAD included a higher prescan likelihood of CAD, history of myocardial infarction, a higher heart rate at rest, a lower increase in heart rate during adenosine infusion, a higher summed stress score, summed reversibility score, and multivessel scan abnormality. Multivariate logistic analysis of the most predictive clinical (prescan likelihood of CAD), hemodynamic (increase in heart rate during adenosine infusion), and scan variables (summed stress score) revealed summed stress score (chi-square = 32; p <0.0001) and prescan likelihood of CAD (chi-square = 6.4; p <0.05) as the only independent predictors of severe or extensive CAD. Based on these logistic models, we determined the probability for the presence of severe or extensive CAD in patients with low, intermediate, and high prescan likelihood of CAD across the range of values of a summed stress score. This revealed that there were incremental increases in the probability for severe or extensive CAD both as a function of prescan likelihood of CAD and summed stress score. A severely abnormal scan (summed stress score > 8) during adenosine technetium-99m sestamibi myocardial perfusion SPECT had a high sensitivity of 91% and a moderately high specificity of 70% for identifying high-risk women with severe or extensive CAD. These results coupled with the previously defined prognostic significance of these findings suggest this test to be a useful diagnostic tool for the evaluation of CAD in women.

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Year:  1997        PMID: 9230147     DOI: 10.1016/s0002-9149(97)00306-8

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  29 in total

1.  Diagnostic and prognostic applications for vasodilator stress myocardial perfusion imaging and the importance of radiopharmaceutical selection.

Authors:  R C Hendel
Journal:  J Nucl Cardiol       Date:  2001 Jul-Aug       Impact factor: 5.952

2.  Accuracy of stress Tc-99m tetrofosmin myocardial perfusion tomography for the diagnosis and localization of coronary artery disease in women.

Authors:  Abdou Elhendy; Arend F L Schinkel; Jeroen J Bax; Ron T van Domburg; Roelf Valkema; Elena Biagini; Harm H Feringa; Don Poldermans
Journal:  J Nucl Cardiol       Date:  2006-09       Impact factor: 5.952

3.  Stress protocols and tracers.

Authors:  Milena J Henzlova; Manuel D Cerqueira; John J Mahmarian; Siu-Sun Yao
Journal:  J Nucl Cardiol       Date:  2006-11       Impact factor: 5.952

4.  Increased long-term mortality in women with high left ventricular ejection fraction: data from the CONFIRM (COronary CT Angiography EvaluatioN For Clinical Outcomes: An InteRnational Multicenter) long-term registry.

Authors:  Catherine Gebhard; Monika Maredziak; Michael Messerli; Ronny R Buechel; Fay Lin; Heidi Gransar; Stephan Achenbach; Mouaz H Al-Mallah; Daniele Andreini; Jeroen J Bax; Daniel S Berman; Matthew J Budoff; Filippo Cademartiri; Tracy Q Callister; Hyuk-Jae Chang; Kavitha Chinnaiyan; Benjamin J W Chow; Ricardo C Cury; Augustin DeLago; Gudrun Feuchtner; Martin Hadamitzky; Joerg Hausleiter; Yong-Jin Kim; Jonathon Leipsic; Erica Maffei; Hugo Marques; Pedro de Araújo Gonçalves; Gianluca Pontone; Gilbert L Raff; Ronen Rubinshtein; Leslee J Shaw; Todd C Villines; Yao Lu; Erica C Jones; Jessica M Peña; James K Min; Philipp A Kaufmann
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2020-04-01       Impact factor: 6.875

5.  Pharmacokinetics and safety of binodenoson after intravenous dose escalation in healthy volunteers.

Authors:  Richard J Barrett; Michael J Lamson; James Johnson; William B Smith
Journal:  J Nucl Cardiol       Date:  2005 Mar-Apr       Impact factor: 5.952

Review 6.  Cardiac purinergic signalling in health and disease.

Authors:  Geoffrey Burnstock; Amir Pelleg
Journal:  Purinergic Signal       Date:  2014-12-20       Impact factor: 3.765

7.  Heart rate reserve during pharmacological stress is a significant negative predictor of impaired coronary flow reserve in women.

Authors:  Ahmed Haider; Susan Bengs; Monika Maredziak; Michael Messerli; Michael Fiechter; Andreas A Giannopoulos; Valerie Treyer; Moritz Schwyzer; Christel Hermann Kamani; Dimitri Patriki; Elia von Felten; Dominik C Benz; Tobias A Fuchs; Christoph Gräni; Aju P Pazhenkottil; Philipp A Kaufmann; Ronny R Buechel; Catherine Gebhard
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-01-16       Impact factor: 9.236

8.  Prediction of revascularization after myocardial perfusion SPECT by machine learning in a large population.

Authors:  Reza Arsanjani; Damini Dey; Tigran Khachatryan; Aryeh Shalev; Sean W Hayes; Mathews Fish; Rine Nakanishi; Guido Germano; Daniel S Berman; Piotr Slomka
Journal:  J Nucl Cardiol       Date:  2014-12-06       Impact factor: 5.952

Review 9.  The clinical role of stress myocardial perfusion imaging in women with suspected coronary artery disease.

Authors:  Jennifer H Mieres; David R Rosman; Leslee J Shaw
Journal:  Curr Cardiol Rep       Date:  2004-01       Impact factor: 2.931

10.  Improved accuracy of myocardial perfusion SPECT for the detection of coronary artery disease using a support vector machine algorithm.

Authors:  Reza Arsanjani; Yuan Xu; Damini Dey; Matthews Fish; Sharmila Dorbala; Sean Hayes; Daniel Berman; Guido Germano; Piotr Slomka
Journal:  J Nucl Med       Date:  2013-03-12       Impact factor: 10.057

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