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Published in: Journal of Nuclear Cardiology 1/2013

01-02-2013 | Original Article

Gender differences in the diagnostic accuracy of SPECT myocardial perfusion imaging: A bivariate meta-analysis

Authors: Aline Iskandar, MD, Brendan Limone, PharmD, Matthew W. Parker, MD, Andrew Perugini, PharmD, Hyejin Kim, PharmD, Charles Jones, PharmD, Brian Calamari, PharmD, Craig I. Coleman, PharmD, Gary V. Heller, MD, PhD

Published in: Journal of Nuclear Cardiology | Issue 1/2013

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Abstract

Background

It remains controversial whether the diagnostic accuracy of single-photon emission computed tomography myocardial perfusion imaging (SPECT MPI) is different in men as compared to women. We performed a meta-analysis to investigate gender differences of SPECT MPI for the diagnosis of CAD (≥50% stenosis).

Method

Two investigators independently performed a systematic review of the MEDLINE and EMBASE databases from inception through January 2012 for English-language studies determining the diagnostic accuracy of SPECT MPI. We included prospective studies that compared SPECT MPI with conventional coronary angiography which provided sufficient data to calculate gender-specific true and false positives and negatives. Data from studies evaluating <20 patients of one gender were excluded. Bivariate meta-analysis was used to create summary receiver operating curves.

Results

Twenty-six studies met inclusion criteria, representing 1,148 women and 1,142 men. Bivariate meta-analysis yielded a mean sensitivity and specificity of 84.2% (95% confidence interval [CI] 78.7%-88.6%) and 78.7% (CI 70.0%-85.3%) for SPECT MPI in women and 89.1% (CI 84.0%-92.7%) and 71.2% (CI 60.8%-79.8%) for SPECT MPI in men. There was no significant difference in the sensitivity (P = .15) or specificity (P = .23) between male and female subjects.

Conclusion

In a bivariate meta-analysis of the available literature, the diagnostic accuracy of SPECT MPI is similar for both men and women.
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Metadata
Title
Gender differences in the diagnostic accuracy of SPECT myocardial perfusion imaging: A bivariate meta-analysis
Authors
Aline Iskandar, MD
Brendan Limone, PharmD
Matthew W. Parker, MD
Andrew Perugini, PharmD
Hyejin Kim, PharmD
Charles Jones, PharmD
Brian Calamari, PharmD
Craig I. Coleman, PharmD
Gary V. Heller, MD, PhD
Publication date
01-02-2013
Publisher
Springer US
Published in
Journal of Nuclear Cardiology / Issue 1/2013
Print ISSN: 1071-3581
Electronic ISSN: 1532-6551
DOI
https://doi.org/10.1007/s12350-012-9646-2

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