BACKGROUND: Cardiogoniometry (CGM) is a novel resting electrocardiac method based on computer-generated three-dimensional data derived from cardiac potentials. The purpose of this study was to determine CGM's and electrocardiography's (ECG) accuracy for detecting myocardial ischemia and/or lesions in comparison with stress/rest myocardial perfusion scintigraphy (single photon emission computer tomography [SPECT]). METHOD: A cohort of consecutively enrolled patients (n = 100) with suspected or known coronary artery disease (mean age 67.8 years, 52% female) were examined by CGM and resting ECG before stress/rest myocardial scintigraphy. RESULTS: Pathological scintigraphy findings at adenosine stress perfusion (ASP) and/or rest were conclusively identified in 21 patients. Diagnostic sensitivity was 71% for CGM and 24% for ECG, specificity was 70% for CGM and 95% for ECG. Reversible ischemia was diagnosed in 16 of 21 patients with pathological scintigraphy results. In this subgroup, sensitivity was 67% for CGM and 25% for ECG. CONCLUSIONS: At rest, the sensitivity of a CGM significantly surmounts that of a standard 12-lead ECG for detection of isolated myocardial ischemia or myocardial lesions revealed by scintigraphy/SPECT; specificity is in a reasonable range. CGM's ease of use and its considerable agreement with the results of myocardial scintigraphy, suggests a possible role for patient screening in the primary care setting.
BACKGROUND: Cardiogoniometry (CGM) is a novel resting electrocardiac method based on computer-generated three-dimensional data derived from cardiac potentials. The purpose of this study was to determine CGM's and electrocardiography's (ECG) accuracy for detecting myocardial ischemia and/or lesions in comparison with stress/rest myocardial perfusion scintigraphy (single photon emission computer tomography [SPECT]). METHOD: A cohort of consecutively enrolled patients (n = 100) with suspected or known coronary artery disease (mean age 67.8 years, 52% female) were examined by CGM and resting ECG before stress/rest myocardial scintigraphy. RESULTS: Pathological scintigraphy findings at adenosine stress perfusion (ASP) and/or rest were conclusively identified in 21 patients. Diagnostic sensitivity was 71% for CGM and 24% for ECG, specificity was 70% for CGM and 95% for ECG. Reversible ischemia was diagnosed in 16 of 21 patients with pathological scintigraphy results. In this subgroup, sensitivity was 67% for CGM and 25% for ECG. CONCLUSIONS: At rest, the sensitivity of a CGM significantly surmounts that of a standard 12-lead ECG for detection of isolated myocardial ischemia or myocardial lesions revealed by scintigraphy/SPECT; specificity is in a reasonable range. CGM's ease of use and its considerable agreement with the results of myocardial scintigraphy, suggests a possible role for patient screening in the primary care setting.
Authors: Raymond J Gibbons; Gary J Balady; J Timothy Bricker; Bernard R Chaitman; Gerald F Fletcher; Victor F Froelicher; Daniel B Mark; Ben D McCallister; Aryan N Mooss; Michael G O'Reilly; William L Winters; Raymond J Gibbons; Elliott M Antman; Joseph S Alpert; David P Faxon; Valentin Fuster; Gabriel Gregoratos; Loren F Hiratzka; Alice K Jacobs; Richard O Russell; Sidney C Smith Journal: Circulation Date: 2002-10-01 Impact factor: 29.690
Authors: Thomas Huebner; W M Michael Schuepbach; Andrea Seeck; Ernst Sanz; Bernhard Meier; Andreas Voss; Roland Pilgram Journal: Med Biol Eng Comput Date: 2010-03-19 Impact factor: 2.602
Authors: W M Michael Schüpbach; Bernhard Emese; Patrick Loretan; Alain Mallet; Firat Duru; Ernst Sanz; Bernhard Meier Journal: Swiss Med Wkly Date: 2008-04-19 Impact factor: 2.193
Authors: Jean-Philippe Couderc; Wojciech Zareba; Scott McNitt; Pierre Maison-Blanche; Arthur J Moss Journal: Europace Date: 2007-07-17 Impact factor: 5.214
Authors: Oliver I Brown; Andrew L Clark; Raj Chelliah; Benjamin J Davison; Adam N Mather; Michael S Cunnington; Joseph John; Albert Alahmar; Richard Oliver; Konstantinos Aznaouridis; Angela Hoye Journal: Cardiovasc Eng Technol Date: 2018-04-12 Impact factor: 2.495