T vector and loop characteristics in coronary artery disease and during acute ischemia

Rubulis, Aigars; Jensen, Jens; Lundahl, Gunilla; Tapanainen, Jari; Wecke, Liliane; Bergfeldt, Lennart

doi:10.1016/j.hrthm.2004.03.076

Cited by 43 publications

(32 citation statements)

References 35 publications

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“…Although VCG is accepted and proven in principle, it never became widely established in general clinical use because it was too complicated to record and difficult to interpret, later to be overtaken by coronary angiography and nuclear-medical imaging methods. Nowadays, vectorcardiographic analysis is mainly used to analyze the spatial and temporal heterogeneity of the repolarization phase (i.e., T-wave variability and T-wave alternans), and for risk stratification ranging from ventricular tachyarrhythmia (VT) to sudden cardiac death (SCD) [3,17,18]. The underlined sensitivities represent the most suitable parameters for the respective CAD category ( ) not significant…”

Section: Discussionmentioning

confidence: 99%

“…Two of our parameters describe spatiotemporal variabilities: SD betaRmax (P051), the standard deviation of the Rmax vector within the depolarization phase; and SD Phi (P072), the standard deviation of the R-T angle reflecting the interaction between the de-and repolarization phases. Compared to most publications that considered alternans phenomena, variabilities and heterogeneities in the repolarization phases for risk stratification [3,17,18,27], our approach is essentially new in that we included the variability effects of the depolarization phase for detecting CAD. The parameters median alphaTmax (P064) and median TOct5 (P155) describe spatial positions and potential distributions of the repolarization phase, while the parameter alpha R ?…”

Section: Discussionmentioning

confidence: 99%

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Cardiogoniometric parameters for detection of coronary artery disease at rest as a function of stenosis localization and distribution

Huebner

Schuepbach

Seeck

et al. 2010

Med Biol Eng Comput

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Cardiogoniometry (CGM), a spatiotemporal electrocardiologic 5-lead method with automated analysis, may be useful in primary healthcare for detecting coronary artery disease (CAD) at rest. Our aim was to systematically develop a stenosis-specific parameter set for global CAD detection. In 793 consecutively admitted patients with presumed non-acute CAD, CGM data were collected prior to elective coronary angiography and analyzed retrospectively. 658 patients fulfilled the inclusion criteria, 405 had CAD verified by coronary angiography; the 253 patients with normal coronary angiograms served as the non-CAD controls. Study patients--matched for age, BMI, and gender--were angiographically assigned to 8 stenosis-specific CAD categories or to the controls. One CGM parameter possessing significance (P < .05) and the best diagnostic accuracy was matched to one CAD category. The area under the ROC curve was .80 (global CAD versus controls). A set containing 8 stenosis-specific CGM parameters described variability of R vectors and R-T angles, spatial position and potential distribution of R/T vectors, and ST/T segment alterations. Our parameter set systematically combines CAD categories into an algorithm that detects CAD globally. Prospective validation in clinical studies is ongoing.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Cardiogoniometric parameters for detection of coronary artery disease at rest as a function of stenosis localization and distribution

Huebner

Schuepbach

Seeck

et al. 2010

Med Biol Eng Comput

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“…The absolute difference between the frontal QRS wave axis and T-wave axis was defined as frontal planar QRS-T angle. If such a difference exceeded 180°, the difference was calculated by subtracting from 180° [7,8] . After data collection, the patients were divided into 3 subgroups according to the frontal planar QRS-T angle: group 1 (normal) = 235 patients with a frontal planar QRS-T angle of 0-45°, group 2 (borderline) = 41 patients with a frontal planar QRS-T angle of 45-90°, and group 3 (abnormal) = the remaining 31 patients with a frontal planar QRS-T angle >90°.…”

Section: Surface Ecg and Measurement Of The Frontal Qrs-t Anglementioning

confidence: 99%

The Value of Frontal Planar QRS-T Angle in Patients without Angiographically Apparent Atherosclerosis

et al. 2016

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Objective: The present study was undertaken to investigate the prognostic value of the frontal planar QRS-T angle in patients without angiographically apparent coronary atherosclerosis. Subjects and Methods: Three hundred and seven patients with normal coronary arteries on coronary angiography were included. The absolute difference between the frontal QRS- and T-wave axes was defined as the frontal planar QRS-T angle, and patients were divided into 3 subgroups based on the frontal planar QRS-T angle (<45, 45-90, and >90°). Demographic, clinical, laboratory, and angiographic data were compared between groups. Based on the regression analysis results, patients were recategorized into 4 groups according to their luminal calibers of left main coronary artery (LMCA) and history of hypertension (HT) (nonhypertensive LMCA ≤4.13 mm, nonhypertensive LMCA >4.13 mm, hypertensive LMCA ≤4.13 mm, and hypertensive LMCA >4.13 mm). Results: The median value of the frontal planar QRS-T angle of all participants was 38°. Subjects with the widest frontal planar QRS-T angle were older (p = 0.027), were hypertensive (p = 0.001), and had higher corrected QT values (p = 0.001). Patients with the widest frontal planar QRS-T angle had larger LMCA and left anterior descending coronary artery diameters compared to subjects with a normal and borderline frontal QRS-T angle (p = 0.004 and p = 0.028, respectively). Corrected QT, HT, and LMCA diameter were found as independent predictors of the frontal planar QRS-T angle. Subjects with HT and a larger luminal caliber of LMCA had the widest frontal planar QRS-T angle. Conclusion: Patients with a history of HT and a larger luminal caliber of LMCA had the widest frontal planar QRS-T angle. Since HT-induced electrophysiological changes are still not well established and we observed that changes in the luminal caliber of coronary arteries are associated with an abnormal frontal QRS-T angle, the frontal QRS-T angle could serve as a marker of ventricular repolarization heterogeneity in hypertensive patients in addition to keeping track of arrhythmic events, even before overt disease.

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“…The greatest potential offered by computational VCG is also in the diagnostics of ischemic heart disease [29,30]. Authors in [24,25] published set of VCG based features for monitoring ischemic patients.…”

Section: Introductionmentioning

confidence: 99%

“…Vozda, M. Cerny / Biomedical Signal Processing and Control 19 (2015)[23][24][25][26][27][28][29][30][31][32][33][34] …”

mentioning

confidence: 99%

Methods for derivation of orthogonal leads from 12-lead electrocardiogram: A review

Vozda

Cerny

2015

Biomedical Signal Processing and Control

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T vector and loop characteristics in coronary artery disease and during acute ischemia

Cited by 43 publications

References 35 publications

Cardiogoniometric parameters for detection of coronary artery disease at rest as a function of stenosis localization and distribution

Cardiogoniometric parameters for detection of coronary artery disease at rest as a function of stenosis localization and distribution

The Value of Frontal Planar QRS-T Angle in Patients without Angiographically Apparent Atherosclerosis

Methods for derivation of orthogonal leads from 12-lead electrocardiogram: A review

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