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Myocardial perfusion imaging

About: Myocardial perfusion imaging is a research topic. Over the lifetime, 5865 publications have been published within this topic receiving 133828 citations. The topic is also known as: MPI & MPS.


Papers
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Journal ArticleDOI
TL;DR: Attempts to standardize options for all cardiac imaging modalities should be based on the sound principles that have evolved from cardiac anatomy and clinical needs, and selection of standardized methods must bebased on the following criteria.
Abstract: Nuclear cardiology, echocardiography, cardiovascular magnetic resonance (CMR), cardiac computed tomography (CT), positron emission computed tomography (PET), and coronary angiography are imaging modalities that have been used to measure myocardial perfusion, left ventricular function, and coronary anatomy for clinical management and research. Although there are technical differences between these modalities, all of them image the myocardium and the adjacent cavity. However, the orientation of the heart, angle selection for cardiac planes, number of segments, slice display and thickness, nomenclature for segments, and assignment of segments to coronary arterial territories have evolved independently within each field. This evolution has been based on the inherent strengths and weaknesses of the technique and the practical clinical application of these modalities as they are used for patient management. This independent evolution has resulted in a lack of standardization and has made accurate intra- and cross-modality comparisons for clinical patient management and research very difficult, if not, at times, impossible. Attempts to standardize these options for all cardiac imaging modalities should be based on the sound principles that have evolved from cardiac anatomy and clinical needs.1–3⇓⇓ Selection of standardized methods must be based on the following criteria: An earlier special report from the American Heart Association, American College of Cardiology, and Society of Nuclear Medicine4 defined standards for plane selection and display orientation for serial …

5,967 citations

Journal ArticleDOI
TL;DR: In this paper, contrast-enhanced cardiovascular magnetic resonance (CMR) and single photon emission computed tomography (SPECT) myocardial perfusion imaging was used to detect sub-endocardial infarcts that are missed by SPECT.

1,277 citations

Journal ArticleDOI
TL;DR: CE-MARC is the largest, prospective, real world evaluation of CMR and has established C MR's high diagnostic accuracy in coronary heart disease and CMR's superiority over SPECT.

966 citations

Journal ArticleDOI
TL;DR: Traditional and emerging cardiac risk factors and inflammatory and prothrombotic markers were not associated with abnormal stress tests, although cardiac autonomic dysfunction was a strong predictor of ischemia.
Abstract: OBJECTIVE —To assess the prevalence and clinical predictors of silent myocardial ischemia in asymptomatic patients with type 2 diabetes and to test the effectiveness of current American Diabetes Association screening guidelines. RESEARCH DESIGN AND METHODS —In the Detection of Ischemia in Asymptomatic Diabetics (DIAD) study, 1,123 patients with type 2 diabetes, aged 50–75 years, with no known or suspected coronary artery disease, were randomly assigned to either stress testing and 5-year clinical follow-up or to follow-up only. The prevalence of ischemia in 522 patients randomized to stress testing was assessed by adenosine technetium-99m sestamibi single-photon emission–computed tomography myocardial perfusion imaging. RESULTS —A total of 113 patients (22%) had silent ischemia, including 83 with regional myocardial perfusion abnormalities and 30 with normal perfusion but other abnormalities (i.e., adenosine-induced ST-segment depression, ventricular dilation, or rest ventricular dysfunction). Moderate or large perfusion defects were present in 33 patients. The strongest predictors for abnormal tests were abnormal Valsalva (odds ratio [OR] 5.6), male sex (2.5), and diabetes duration (5.2). Other traditional cardiac risk factors or inflammatory and prothrombotic markers were not predictive. Ischemic adenosine-induced ST-segment depression with normal perfusion ( n = 21) was associated with women (OR 3.4). Selecting only patients who met American Diabetes Association guidelines would have failed to identify 41% of patients with silent ischemia. CONCLUSIONS —Silent myocardial ischemia occurs in greater than one in five asymptomatic patients with type 2 diabetes. Traditional and emerging cardiac risk factors were not associated with abnormal stress tests, although cardiac autonomic dysfunction was a strong predictor of ischemia.

790 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023160
2022319
2021237
2020263
2019266
2018259