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Comparative Study
. 2005 Jul;10(3):312-23.
doi: 10.1111/j.1542-474X.2005.00634.x.

Magnetocardiography predicts coronary artery disease in patients with acute chest pain

Affiliations
Comparative Study

Magnetocardiography predicts coronary artery disease in patients with acute chest pain

Jai-Wun Park et al. Ann Noninvasive Electrocardiol. 2005 Jul.

Abstract

Background: The value of magnetocardiography (MCG) for the detection of cardiac electrical disturbances associated with myocardial ischemia was studied.

Methods: Sensitivity and predictivity of admission MCG for the presence of coronary artery disease (CAD) were prospectively evaluated in 264 consecutive patients presenting with acute chest pain and without ST-segment elevation. MCG findings were compared with 12-lead ECG, echocardiography (ECHO), and troponin-I in a head-to-head design. Coronary angiography was used for CAD diagnosis.

Results: The visual assessment of magnetocardiograms by the experienced reader (R1) was superior to that by the unexperienced reader (R2) and superior to the automated computer analysis. Specificity and positive predictive value of MCG by R1 were comparable with those of ECG and troponin-I (>90%), while ECHO specificity and ECHO positive predictive value were lower (76.2% and 87.9%, respectively). Sensitivity and negative predictive value of MCG were twice as high as those in the ECG, troponin-I, and ECHO tests.

Conclusion: For the prediction of CAD in patients presenting with acute chest pain and without ST-segment elevation, an admission MCG test was superior to an admission ECG, ECHO, and troponin-I. The results of the study, however, are applicable only to a highly selected population comprising patients in whom immediate coronary angiography can be performed based on their clinical course in the hospital.

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Figures

Figure 1
Figure 1
Plot of the position of the current vector.
Figure 2
Figure 2
Dynamics of the relative pole behavior with respect to angle, distance, and strength during the time interval between Tbeg and Tmax. (a) Apparently healthy subject (top); (b) patient with coronary artery disease (bottom).
Figure 3
Figure 3
Behavior of the three‐dimensional magnetic‐dipole vector (arrows) during the time interval between Tbeg and Tmax. (a) Apparently healthy subject; (b) patient with coronary artery disease; (c) patient with coronary artery disease.
Figure 4
Figure 4
MCG raw data with excellent (left, a) and poor (right, b) signal to noise ratio (MCG: leads 1–9, ECG: lead 10; top). Averaged magnetocardiographic signals from 36 positions after postprocessing (bottom; (c) postprocessed averaged magnetocardiogram of example (a); (d) postprocessed, averaged magnetocardiogram of example (b)).
Figure 4
Figure 4
MCG raw data with excellent (left, a) and poor (right, b) signal to noise ratio (MCG: leads 1–9, ECG: lead 10; top). Averaged magnetocardiographic signals from 36 positions after postprocessing (bottom; (c) postprocessed averaged magnetocardiogram of example (a); (d) postprocessed, averaged magnetocardiogram of example (b)).
Figure 5
Figure 5
Example for possible problem arising if sensor positioning is guided by chest wall anatomy. The cardiac magnetic field is correctly covered by magnetocardiographic sensors (left, a). The cardiac magnetic field is partially outside the magnetocardiographic area (right, b).

References

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