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J Cardiovasc Comput Tomogr ; 5(6): 370-81, 2011.
Artigo em Inglês | MEDLINE | ID: mdl-22146496

RESUMO

Multidetector coronary computed tomography angiography (CTA) is a promising modality for widespread clinical application because of its noninvasive nature and high diagnostic accuracy as found in previous studies using 64 to 320 simultaneous detector rows. It is, however, limited in its ability to detect myocardial ischemia. In this article, we describe the design of the CORE320 study ("Combined coronary atherosclerosis and myocardial perfusion evaluation using 320 detector row computed tomography"). This prospective, multicenter, multinational study is unique in that it is designed to assess the diagnostic performance of combined 320-row CTA and myocardial CT perfusion imaging (CTP) in comparison with the combination of invasive coronary angiography and single-photon emission computed tomography myocardial perfusion imaging (SPECT-MPI). The trial is being performed at 16 medical centers located in 8 countries worldwide. CT has the potential to assess both anatomy and physiology in a single imaging session. The co-primary aim of the CORE320 study is to define the per-patient diagnostic accuracy of the combination of coronary CTA and myocardial CTP to detect physiologically significant coronary artery disease compared with (1) the combination of conventional coronary angiography and SPECT-MPI and (2) conventional coronary angiography alone. If successful, the technology could revolutionize the management of patients with symptomatic CAD.


Assuntos
Angiografia Coronária/métodos , Doença da Artéria Coronariana/diagnóstico por imagem , Circulação Coronária , Imagem de Perfusão do Miocárdio/métodos , Projetos de Pesquisa , Tomografia Computadorizada por Raios X , Idoso , Idoso de 80 Anos ou mais , Brasil , Canadá , Doença da Artéria Coronariana/fisiopatologia , Europa (Continente) , Feminino , Hemodinâmica , Humanos , Japão , Masculino , Pessoa de Meia-Idade , Valor Preditivo dos Testes , Prognóstico , Estudos Prospectivos , Interpretação de Imagem Radiográfica Assistida por Computador , Índice de Gravidade de Doença , Singapura , Estados Unidos
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