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Effects of Resting Magnetocardiographic Imaging on diagnosis of Coronary Artery Disease Yuanlu Chen, Xiaocheng Effects of Resting Magnetocardiographic Imaging on diagnosis of Coronary Artery Disease Yuanlu Chen, Xiaocheng Liu, Xiangqian Qi, Yi Lian, Yu Song, TEDA International Cardiovascular Hospital, Tianjin, China; Kirsten Tolstrup, Cedars-Sinai Medical Center, Los Angeles, CA;

l Background: Magnetocardiographic (MCG) imaging is a new noninvasive mapping technique that measures and l Background: Magnetocardiographic (MCG) imaging is a new noninvasive mapping technique that measures and records cardiac electric activity. It has been suggested that the MCG provides independent information for the detection of myocardial ischemia. We evaluated the utility of MCG for the diagnosis of coronary artery disease (CAD) in patients with chronic ischemic heart disease.

l Methods: We studied 76 patients (55 male, 21 female, mean age 58 ± l Methods: We studied 76 patients (55 male, 21 female, mean age 58 ± 9. 4 years old) with CAD confirmed by coronary angiography (≥ 70% stenosis in ≥ one branch of main coronary arteries). 34 case with 3 branch, 20 case with 2 branch, 22 with one branch(19 LAD, 1 LCX, 2 RCA). Patients with concomitant hypertension, left ventricular hypertrophy, bundle branch block, complex rhythm disturbances and NYHA functional class III and IV were excluded.

Methods: The control group consisted of 36 healthy subjects (12 male, 24 female mean Methods: The control group consisted of 36 healthy subjects (12 male, 24 female mean age 31 ± 10 years) who all underwent 12 -lead ECG, stress testing, transthoracic echocardiography, and Electron Beam-CT.

Methods All MCG images were acquired with a 9 -channel MCG system (Cardio. Mag Methods All MCG images were acquired with a 9 -channel MCG system (Cardio. Mag Imaging, Schenectady, New York), in an unshielded location. The scans were performed at rest with an acquisition time of 6 minutes. Ventricular repolarization was analyzed using 7 parameters set by an automated software program, and scores for normal and abnormal were obtained.

Results table 1. Comparison of magnetocardiographic paramemters between CAD group and normal group(X±S) parameter Results table 1. Comparison of magnetocardiographic paramemters between CAD group and normal group(X±S) parameter DML PDML * Ad * Dd Rd normal(n= 36) CAD(n= 76) 5. 58± 1. 68 5. 72± 11. 89 7. 55± 12. 31 6. 75± 4. 21 0. 144± 0. 103 t p 60. 76± 34. 24 9. 412 〈0. 001 64. 48± 32. 67 10. 637 〈0. 001 37. 14± 65. 37 3. 268 〈0. 002 17. 77± 114. 37 5. 453 〈0. 001 0. 369± 0. 316 5. 007 〈0. 001 DML:Dipole machine learning score,DQIS: Dipole quantitative integral score,PDML:Plain data machine learning score,Ad: Angle dynamics,Dd:Distance dynamic Rd:Ratio dynamics.

table 2. Sensitivity, specificity and accuracy of magnetocardiographic paramemters on diagnosis of coronary heart table 2. Sensitivity, specificity and accuracy of magnetocardiographic paramemters on diagnosis of coronary heart disease(%) parameter DML DQIS PDML Ae Ad Dd Rd sensitivity 71. 7 71. 4 71. 1 56. 0 20. 7 29. 9 46. 7 specificity 91. 6 86. 1 97. 2 100 97. 2 94. 4 accuracy likelihood 77. 6 76. 1 79. 6 66. 4 45. 1 51. 3 61. 9 8. 5 5. 2 26. 4 ≥ 20. 7 7. 7 11. 1 8. 5 The sensitivity of each of the parameters for the diagnosis of CAD was 68. 0%, 84. 0%, 76. 0%, 36. 0%, 40. 0%, 56. 0% and 56. 0%, respectively. The corresponding specificities were 91. 6%, 86. 1%, 97. 2%, 94. 4% and 100%, respectively. The accuracy of the scan was 72% to 89% depending on the chosen parameter.

Table 3. Comparison between CAD and subjects groups in positive rate of Dipole quantitative Table 3. Comparison between CAD and subjects groups in positive rate of Dipole quantitative integral score positive negative total % CAD 54 22 76 71. 0 Subjects 5 31 36 13. 8 total 26 35 112 X 2=29. 665, P<0. 001

Table 4. Comparison between CAD and subjects groups in positive rate of angle extrema Table 4. Comparison between CAD and subjects groups in positive rate of angle extrema positive negative total % CAD 38 38 76 56. 0 Subjects 0 36 36 0 total 38 47 112 X 2=26. 165, P<0. 001

table 5. Sensitivity, specificity and accuracy of numbers of positive MCG parameters for diagnosing table 5. Sensitivity, specificity and accuracy of numbers of positive MCG parameters for diagnosing CAD(%) positive sensitivity specificity parameter 1 90. 9 75. 0 2 75. 3 91. 6 3 70. 1 97. 2 4 58. 4 100 5 38. 1 100 6 23. 3 100 7 9. 1 100 accuracy likelihood 85. 8 80. 5 78. 7 71. 6 57. 5 47. 7 38. 0 3. 6 9. 1 25. 9 21. 6 14. 1 8. 6 3. 4 With ≥ 3 parameters positive, the specificity of the test was ≥ 97% and the accuracy was 85%-88%. A positive MCG scan increased the likelihood of CAD up to 27 times.

Table 6. Comparison between MCG and ECG for diagnosing CAD positive negative total % Table 6. Comparison between MCG and ECG for diagnosing CAD positive negative total % MCG 69 7 76 90. 8 ECG 52 24 76 68. 4 total 121 31 152 X 2=11. 711, P<0. 005

Conclusion Resting MCG imaging is an accurate and rapid test for the detection of Conclusion Resting MCG imaging is an accurate and rapid test for the detection of obstructive coronary artery disease in patients with chronic ischemic heart disease. MCG is more sensitive than ECG in diagnosis of CAD.

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