Diagnosis of Coronary Artery Disease in Patients with Chest Pain by Means of Magnetocardiography

흉통환자에서 심자도를 이용한 관상동맥질환의 진단

  • Kwon, H. (Biomagnetism Research Center, Korea Research Institute of Standards and Science) ;
  • Kim, K. (Biomagnetism Research Center, Korea Research Institute of Standards and Science) ;
  • Kim, J.M. (Biomagnetism Research Center, Korea Research Institute of Standards and Science) ;
  • Lee, Y.H. (Biomagnetism Research Center, Korea Research Institute of Standards and Science) ;
  • Kim, T.E. (Biomagnetism Research Center, Korea Research Institute of Standards and Science) ;
  • Lim, H.K. (Biomagnetism Research Center, Korea Research Institute of Standards and Science) ;
  • Park, Y.K. (Biomagnetism Research Center, Korea Research Institute of Standards and Science) ;
  • Ko, Y.G. (Cardiovascular Center, College of Medicine, Yonsei University) ;
  • Chung, N. (Cardiovascular Center, College of Medicine, Yonsei University)
  • Published : 2006.10.31

Abstract

Magnetocardiography(MCG) has been proposed as a novel and non-invasive diagnostic tool for the detection of cardiac electrical abnormality associated with myocardial ischemia. In our previous study, we have proposed a new classification method of MCG parameters, based on the different populations of the parameters between coronary artery disease(CAD) patients, symptomatic patients and healthy volunteers. We used four parameters, representing the directional changes of the electrical activity in the period of an R-ST-T interval. In patients with chest pain and without ST-segment elevation, who were selected consecutively from all patients admitted to the hospital in 2004, the patients with CAD could be classified with a higher sensitivity than conventional methods, showing that the proposed method can be useful for the diagnosis of CAD with MCG. In this study, we examined the validity of the algorithm with the prior probability distribution in diagnosis of new patients admitted to the hospital in 2005. In the results, presence of CAD could be found with sensitivity and specificity of 81.3% and 71.4%, respectively, in patients with chest pain and non-diagnostic ECG findings.

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