Abstract | BACKGROUND: We conducted a systematic review to summarize the current literature on the prognostic value of BMIPP imaging, fatty-acid metabolic imaging, for the prediction of cardiovascular events in coronary artery disease. METHODS AND RESULTS: Electronic databases (including Japanese medical literature search engines) were searched by a Japanese investigator using a predefined search strategy. Eleven studies, all conducted in Japan, were included in the meta-analysis. In three studies involving 541 patients with suspected acute coronary syndrome who were excluded for acute myocardial infarction (AMI), an abnormal finding on BMIPP imaging was significantly associated with future hard events ( cardiac death or non-fatal myocardial infarction). The negative predictive value of BMIPP imaging for future hard events was 98.9% (96.8-99.7%) over 3.5 years. In six studies involving 542 patients with AMI, a larger defect on BMIPP imaging was significantly associated with future hard events. The prognostic value of perfusion-metabolism mismatch compared with myocardial perfusion imaging was dependent upon the relative timing of BMIPP imaging, revascularization, and myocardial perfusion damage. CONCLUSIONS:
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Authors | Yoichi Inaba, Steven R Bergmann |
Journal | Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology
(J Nucl Cardiol)
2010 Jan-Feb
Vol. 17
Issue 1
Pg. 61-70
ISSN: 1532-6551 [Electronic] United States |
PMID | 19851821
(Publication Type: Journal Article, Meta-Analysis, Review, Systematic Review)
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Chemical References |
- Fatty Acids
- Iodobenzenes
- Radiopharmaceuticals
- iodofiltic acid
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Topics |
- Chest Pain
(diagnostic imaging, epidemiology, metabolism)
- Comorbidity
- Coronary Artery Disease
(diagnostic imaging, metabolism)
- Fatty Acids
(metabolism, pharmacokinetics)
- Humans
- Incidence
- Iodobenzenes
(pharmacokinetics)
- Japan
(epidemiology)
- Positron-Emission Tomography
(statistics & numerical data)
- Prognosis
- Radiopharmaceuticals
(pharmacokinetics)
- Reproducibility of Results
- Risk Assessment
(methods)
- Risk Factors
- Sensitivity and Specificity
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