Literature DB >> 33938167

Using Cardiac Magnetic Resonance Imaging to Evaluate Patients with Chest Pain in the Emergency Department.

Joanna S Cavalier1, Igor Klem1,2.   

Abstract

Chest pain is one of the most common presenting symptoms in the emergency department (ED). Among patients with abnormal troponins, it is imperative to quickly and accurately distinguish type 1 acute myocardial infarction (AMI) from other etiologies of myocardial injury. Although high-sensitivity troponin assays introduced a high negative predictive value for AMI, they have exposed the need for diagnostic modalities that can determine the etiology of acute myocardial injury. Cardiac magnetic resonance imaging (CMR) is an effective tool to risk stratifying chest pain among patients in the ED. CMR is non-invasive and has a lower cost of care and shorter length of stay compared to those of invasive coronary angiography. It also provides detailed information on cardiac morphology, function, tissue edema, and location and pattern of tissue damage that can help to differentiate many etiologies of cardiac injury. CMR is particularly useful to distinguish chest pain due to type 1 AMI versus supply-demand mismatch due to acute cardiac noncoronary artery disease. A detailed review of the literature has shown that CMR with stress testing is safe to use in patients presenting to the ED with chest pain, with or without abnormal troponins. CMR is a useful, safe, economical, and effective alternative to the traditional diagnostic tools that are typically used in this patient population. It is a practical tool to risk-stratify patients with possible cardiac pathology and to clarify diagnosis without invasive testing.
Copyright © 2021 Korean Society of Echocardiography.

Entities:  

Keywords:  Cardiology; Chest pain; Emergency service, hospital; Magnetic resonance imaging; Troponin

Year:  2021        PMID: 33938167     DOI: 10.4250/jcvi.2021.0036

Source DB:  PubMed          Journal:  J Cardiovasc Imaging


  1 in total

1.  Three-Dimensional Echocardiography and Coagulation Function Detection in the Prognosis Evaluation of Patients with Acute Myocardial Infarction.

Authors:  Yatong Zhang; Zinan Zhao; Li Zheng; Tian Zhang; Xuelin Sun
Journal:  Comput Math Methods Med       Date:  2022-05-28       Impact factor: 2.809

  1 in total

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