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1.
J Thorac Imaging ; 35(4): 270-275, 2020 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-31913256

RESUMO

PURPOSE: Studies have shown a modest association between pericardial fat volume (PFV) and coronary artery disease (CAD), potentially mediated by local inflammation. We aimed to investigate the association between a new biomarker of pericardial fat inflammation, named pericardial fat enhancement (PFE), and the severity of CAD on coronary computed tomography angiography (CCTA). MATERIALS AND METHODS: We evaluated 114 patients referred for CCTA from 2007 to 2011. PFV, presence of obstructive CAD, and the burden of CAD were determined. PFE was measured in 10 mm regions of interest, adjusted to aortic enhancement (aPFE). The population was divided into those with greater than median (G-PFE) versus less than median pericardial fat enhancement (L-PFE). Stratified adjusted logistic regressions were performed. A P-value <0.05 was considered significant. The study was approved by our institutional review board. RESULTS: Patients were 54.3±14.8 years of age, and 57/114 (50%) were male individuals, with body mass index of 27.3±6.3. There was an independent association between CAD severity and PFV. There was a significant independent association between PFV and obstructive CAD (odds ratio=1.26, P=0.005), and PFV and burden of CAD (odds ratio=1.25, P=0.05) in those with greater PFE. However, there was no significant association between obstructive CAD and CAD burden in either adjusted model for patients with less PFE. CONCLUSIONS: Our results suggest that PFE influences significantly the relationship between PFV and CAD, supporting the hypothesis of local pericardial fat inflammation as a mechanism for CAD development.


Assuntos
Tecido Adiposo/diagnóstico por imagem , Angiografia por Tomografia Computadorizada/métodos , Angiografia Coronária/métodos , Doença da Artéria Coronariana/diagnóstico por imagem , Pericárdio/diagnóstico por imagem , Biomarcadores , Estudos Transversais , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Medição de Risco , Índice de Gravidade de Doença
2.
Magn Reson Imaging Clin N Am ; 23(1): 89-94, 2015 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-25476677

RESUMO

The role of cardiac magnetic resonance (MR) imaging as a prognostic tool in patients with ischemic heart disease is well established. However, an increasing body of data now demonstrates that cardiac MR imaging can provide prognostic information in a variety of nonischemic and diffuse myocardial diseases including myocarditis, dilated and hypertrophic cardiomyopathies, sarcoidosis, amyloidosis, and arrhythmogenic right ventricular cardiomyopathy. Cardiac MR imaging can also supply incremental information above established prognostic indicators, providing an additional tool for use in the prediction of disease progression, response to treatment, and risk stratification.


Assuntos
Cardiopatias/diagnóstico , Interpretação de Imagem Assistida por Computador/métodos , Imageamento por Ressonância Magnética/métodos , Medicina Baseada em Evidências , Humanos , Aumento da Imagem/métodos , Isquemia Miocárdica/diagnóstico , Prognóstico , Reprodutibilidade dos Testes , Sensibilidade e Especificidade
3.
J Thorac Imaging ; 28(2): 84-92; quiz 93-5, 2013 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-23422782

RESUMO

This review highlights the role of delayed enhancement magnetic resonance imaging for the diagnosis of patients with nonischemic myocardial disease. The authors discuss the use of delayed enhancement for differentiation between ischemic and nonischemic myocardial disease and for narrowing the differential diagnosis when nonischemic etiologies are suspected. In addition, special focus is given to the prognostic applications of delayed enhancement magnetic resonance imaging.


Assuntos
Cardiomiopatias/diagnóstico , Aumento da Imagem/métodos , Imageamento por Ressonância Magnética/métodos , Amiloidose/diagnóstico , Arritmias Cardíacas/diagnóstico , Cardiomiopatia Dilatada/diagnóstico , Diagnóstico Diferencial , Gadolínio , Cardiopatias/diagnóstico , Humanos , Processamento de Imagem Assistida por Computador , Isquemia Miocárdica/diagnóstico , Miocardite/diagnóstico , Prognóstico , Esclerose/diagnóstico
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