Immortality time and serial myocardial perfusion imaging: Only those who do not die may repeat the exam

Petretta, Mario; Salvatore, Marco; Cuocolo, Alberto

doi:10.1007/s12350-015-0171-y

Cited by 5 publications

(1 citation statement)

References 29 publications

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“…These studies differ in scope and complexity and may involve issues beyond reproducibility and repeatability. Thus, at this time it remains unclear if myocardial perfusion imaging provides a meaningful endpoint based upon global and regional assessments of perfusion and function [68,69].…”

Section: Endpoint Selectionmentioning

confidence: 99%

Prediction Models for Cardiac Risk Classification with Nuclear Cardiology Techniques

Petretta

Cuocolo

2016

Curr Cardiovasc Imaging Rep

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Regression modeling strategies are increasingly used for the management of subjects with cardiovascular diseases as well as for decision-making of subjects without known disease but who are at risk of disease in the short-or long-term or during life span. Accurate individual risk assessment, taking in account clinical, laboratory, and imaging data is useful for choosing among prevention strategies and/or treatments. The value of nuclear cardiology techniques for risk stratification has been well documented. Many models have been proposed and are available for diagnostic and prognostic purposes and several statistical techniques are available for risk stratification. However, current approaches for prognostic modeling are not perfect and present limitations. This review analyzes some specific aspects related to prediction model development and validation.

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Section: Endpoint Selectionmentioning

confidence: 99%

Prediction Models for Cardiac Risk Classification with Nuclear Cardiology Techniques

Petretta

Cuocolo

2016

Curr Cardiovasc Imaging Rep

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Review of Cardiovascular Imaging in the Journal of Nuclear Cardiology in 2015—Part 2 of 2: Myocardial perfusion imaging

Hage

AlJaroudi

2016

Journal of Nuclear Cardiology

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In 2015, the Journal of Nuclear Cardiology (®) published many high-quality articles. In this series, we will summarize key articles that have appeared in the Journal last year to provide for the interested reader a quick review of the advancements that have recently occurred in the field. In the first article of this 2-part series, we concentrated on publications dealing with plaque imaging, cardiac positron emission tomography, computed tomography, and magnetic resonance. This review will focus on myocardial perfusion imaging summarizing advances in the field including in diagnosis, prognosis, and appropriate use.

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Review of cardiovascular imaging in the journal of nuclear cardiology in 2016: Part 2 of 2—myocardial perfusion imaging

Hage

AlJaroudi

2017

Journal of Nuclear Cardiology

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In 2016, the Journal of Nuclear Cardiology published many high-quality articles. Similar to previous years, we will summarize here a selection of the articles that were published in the Journal in 2016 to provide a concise review of the main advancements that have recently occurred in the field. In the first article of this two-part series we focused on publications dealing with positron emission tomography, computed tomography, and magnetic resonance. This review will place emphasis on myocardial perfusion imaging using single-photon emission-computed tomography summarizing advances in the field including in diagnosis, prognosis, and appropriate use.

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Immortality time and serial myocardial perfusion imaging: Only those who do not die may repeat the exam

Cited by 5 publications

References 29 publications

Prediction Models for Cardiac Risk Classification with Nuclear Cardiology Techniques

Prediction Models for Cardiac Risk Classification with Nuclear Cardiology Techniques

Review of Cardiovascular Imaging in the Journal of Nuclear Cardiology in 2015—Part 2 of 2: Myocardial perfusion imaging

Review of cardiovascular imaging in the journal of nuclear cardiology in 2016: Part 2 of 2—myocardial perfusion imaging

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