Literature DB >> 23255769

Imaging strategies for acute chest pain in the emergency department.

Admir Dedic1, Tessa S Genders, Koen Nieman, Myriam G M Hunink.   

Abstract

OBJECTIVE: Echocardiography, radionuclide myocardial perfusion imaging (MPI), and coronary CT angiography (CTA) are the three main imaging techniques used in the emergency department for the diagnosis of acute coronary syndrome (ACS). The purpose of this article is to quantitatively examine existing evidence about the diagnostic performance of these imaging tests in this setting.
CONCLUSION: Our systematic search of the medical literature showed no significant difference between the modalities for the detection of ACS in the emergency department. There was a slight, positive trend favoring coronary CTA. Given the absence of large differences in diagnostic performance, practical aspects such as local practice, expertise, medical facilities, and individual patient characteristics may be more important.

Entities:  

Mesh:

Year:  2013        PMID: 23255769     DOI: 10.2214/AJR.11.8296

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  4 in total

Review 1.  Chest pain: coronary CT in the ER.

Authors:  Erica Maffei; Sara Seitun; Andrea I Guaricci; Filippo Cademartiri
Journal:  Br J Radiol       Date:  2016-02-11       Impact factor: 3.039

Review 2.  CT Myocardial Perfusion Imaging: A New Frontier in Cardiac Imaging.

Authors:  Sara Seitun; Cecilia De Lorenzi; Filippo Cademartiri; Angelo Buscaglia; Nicole Travaglio; Manrico Balbi; Gian Paolo Bezante
Journal:  Biomed Res Int       Date:  2018-10-14       Impact factor: 3.411

3.  The predictive value of Cardiodynamicsgram in myocardial perfusion abnormalities.

Authors:  Xunde Dong; Jinhe Zhang; Hongji Lai; Min Tang; Shanxing Ou; Jianhong Dou; Cong Wang
Journal:  PLoS One       Date:  2018-12-17       Impact factor: 3.240

4.  NIH workshop on clinical translation of molecular imaging probes and technology--meeting report.

Authors:  Christina H Liu; Antonio Sastre; Richard Conroy; Belinda Seto; Roderic I Pettigrew
Journal:  Mol Imaging Biol       Date:  2014-10       Impact factor: 3.488

  4 in total

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