The use of calculated epicardial potentials improves significantly the sensitivity of a diagnostic algorithm in the detection of acute myocardial infarction

Navarro, Cesar; Owens, Colum; Riddell, John W.; McClelland, Anthony; Anderson, John; Escalona, OJ; Turner, Colin; Adgey, Jennifer

doi:10.1016/j.jelectrocard.2003.09.036

Cited by 9 publications

(4 citation statements)

References 18 publications

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“…The construction of the general thoracic volume conductor model and the mathematical formulation to calculate epicardial potentials has been described previously [8]. Epicardial potentials are derived from an epicardial model composed of 59 nodes, each of which act as virtual electrode positions from which epicardial electrocardiograms are reconstructed (Fig.…”

Section: Calculation Of Epicardial Potentialsmentioning

confidence: 99%

“…Surface ECGs are manifestations of electrical signals that are attenuated and smoothed by the thoracic volume conductor as they pass from the cardiac source to the body surface. Electrocardiographic imaging is a noninvasive functional imaging method for reconstructing electrophysiological information about the surface of the heart from body surface measurements and previous work has demonstrated its usefulness in the non invasive detection of arrhythmogenic pathways in ventricular tachycardia, image abnormal electrophysiological substrates associated with infarction and improvement in the detection of acute myocardial infarction [6][7][8]. In a previous study we used a general thoracic volume conductor model based on images obtained from the visible human viewer project [9] in order to calculate epicardial potentials.…”

Section: Introductionmentioning

confidence: 99%

“…In a previous study we used a general thoracic volume conductor model based on images obtained from the visible human viewer project [9] in order to calculate epicardial potentials. Although the use of epicardial potentials improved significantly the detection of acute myocardial infarction by a factor of 1.25, the specificity was suboptimal mainly due to the inability of the diagnostic algorithm to detect confounders such as left bundle branch block and left ventricular hypertrophy and to predict acute myocardial infarction in the presence of these [8].…”

Section: Introductionmentioning

confidence: 99%

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Improved detection of acute myocardial infarction using a diagnostic algorithm based on calculated epicardial potentials

Owens¹,

Navarro²,

McClelland³

et al. 2006

International Journal of Cardiology

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Section: Calculation Of Epicardial Potentialsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Improved detection of acute myocardial infarction using a diagnostic algorithm based on calculated epicardial potentials

Owens¹,

Navarro²,

McClelland³

et al. 2006

International Journal of Cardiology

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“…The mortality rate of RVMI and MI is 25%-30%, while MI accounts for 6%. 7 Patients with inferior MI who also have RV myocardial involvement are at increased risk of death, shock and arrhythmias. This increased risk is related to the presence of RV myocardial involvement itself rather than the extent of left ventricular (LV) myocardial damage.…”

mentioning

confidence: 99%

Diagnostic value of standard electrocardiogram in acute right ventricular myocardial infarction

et al. 2019

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Myocardial infarction (MI) (i.e., heart attack) is the irreversible death (necrosis) of heart muscle secondary to prolonged lack of oxygen supply (ischemia) which accounts for a large number of deaths in the hospital. Diagnosis of myocardial infarction is confirmed based on clinical manifestations and electrocardiographic changes along with increased cardiac enzymes. Electrocardiogram (ECG) is one of the safest and easiest methods in the first place. Therefore, this study aimed to investigate the diagnostic value of standard electrocardiogram in the diagnosis of acute right ventricular infarction following lower cardiac infarction. This research was carried out at a time interval of one and a half years to diagnose acute primary infarction. In this method, the diagnostic value of ST↓ in lead I, ST↓ in lead aVL and I ST↓ + aVL, compared with ST↑ in lead V4R was investigated for diagnosis of right ventricular infarction. ST↑ in the lead V4R is a gold standard for the detection of right ventricular MI. All the patients who had the inclusion criteria were allowed to participate in the study. A total of 66 patients participated in the study. Accordingly, 58 (87%) were male and 8 (13%) were female. The mean age of the population was 54.9 ± 11.41. According to the ST↑ standard in lead V4R, 26 patients (39%) had right ventricular myocardial infarction. There was no significant relationship between angina pectoris and premature infarction (P-Value = 0.869). In this study, the right ventricular was most commonly involved in right coronary artery (RCA) (78%). There was no significant relationship between the occlusion of right coronary artery and right ventricular infarction in 60 patients (P-Value = 0.94). The results showed that electrocardiogram manifestations help determine the occlusion site and the area at risk (ST↓ in lead aVL and aVL + I, sensitivity = 96%). In myocardial infarction, symptoms such as the ST-Segment elevation in lead aVR and ST-Segment depression in the lower leads are possible. Accordingly, in the lower infarction, ST changes in the leads V1-V6 are helpful in detecting patients at risk. Thus, the use of electrocardiogram in acute myocardial infarction (AMI) helps detect more invasive patients and prevents extensive myocardial damage and other complications.

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Usefulness of Body Surface Maps to Demonstrate Ventricular Activation Patterns During Left Ventricular Pacing and Reentrant Activation During Ventricular Tachycardia in Men With Coronary Heart Disease and Left Ventricular Dysfunction

McClelland

Owens

Navarro

et al. 2006

The American Journal of Cardiology

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The use of calculated epicardial potentials improves significantly the sensitivity of a diagnostic algorithm in the detection of acute myocardial infarction

Cited by 9 publications

References 18 publications

Improved detection of acute myocardial infarction using a diagnostic algorithm based on calculated epicardial potentials

Improved detection of acute myocardial infarction using a diagnostic algorithm based on calculated epicardial potentials

Diagnostic value of standard electrocardiogram in acute right ventricular myocardial infarction

Usefulness of Body Surface Maps to Demonstrate Ventricular Activation Patterns During Left Ventricular Pacing and Reentrant Activation During Ventricular Tachycardia in Men With Coronary Heart Disease and Left Ventricular Dysfunction

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