Literature DB >> 18431698

Non-invasive diagnosis of coronary artery disease using cardiogoniometry performed at rest.

W M Michael Schüpbach1, Bernhard Emese, Patrick Loretan, Alain Mallet, Firat Duru, Ernst Sanz, Bernhard Meier.   

Abstract

PRINCIPLES: Cardiogoniometry is a non-invasive technique for quantitative three-dimensional vectorial analysis of myocardial depolarization and repolarization. We describe a method of surface electrophysiological cardiac assessment using cardiogoniometry performed at rest to detect variables helpful in identifying coronary artery disease.
METHODS: Cardiogoniometry was performed in 793 patients prior to diagnostic coronary angiography. Using 13 variables in men and 10 in women, values from 461 patients were retrospectively analyzed to obtain a diagnostic score that would identify patients having coronary artery disease. This score was then prospectively validated on 332 patients.
RESULTS: Cardiogoniometry showed a prospective diagnostic sensitivity of 64%, and a specificity of 82%. ECG diagnostic sensitivity was significantly lower, with 53% and a similar specificity of 75%.
CONCLUSIONS: Cardiogoniometry is a new, noninvasive, quantitative electrodiagnostic technique which is helpful in identifying patients with coronary artery disease. It can easily be performed at rest and delivers an accurate, automated diagnostic score.

Entities:  

Mesh:

Year:  2008        PMID: 18431698     DOI: 2008/15/smw-12040

Source DB:  PubMed          Journal:  Swiss Med Wkly        ISSN: 0036-7672            Impact factor:   2.193


  11 in total

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

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

2.  Evaluation of ventricular repolarization dispersion during acute myocardial ischemia: spatial and temporal ECG indices.

Authors:  Pedro David Arini; Fabricio Hugo Baglivo; Juan Pablo Martínez; Pablo Laguna
Journal:  Med Biol Eng Comput       Date:  2014-01-29       Impact factor: 2.602

3.  Role of exercise cardiogoniometry in coronary artery disease diagnostics.

Authors:  A Weber; J Smid; B Luani; R C Braun-Dullaeus; I Tanev
Journal:  Clin Res Cardiol       Date:  2017-03-13       Impact factor: 5.460

4.  Comparison of cardiogoniometry and ECG at rest versus myocardial perfusion scintigraphy.

Authors:  Stefan Weber; Ralf Birkemeyer; Dominik Schultes; Walter Grewenig; Thomas Huebner
Journal:  Ann Noninvasive Electrocardiol       Date:  2014-03-10       Impact factor: 1.468

5.  [Kinetic cluster and α-divergence-based dynamic myocardial factorial analysis of positron-emission computed tomography images].

Authors:  Pei-Pei Wang; Li-Jun Lu; Shuang-Liang Cao; Hua-Yong Li; Wu-Fan Chen
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2017-12-20

Review 6.  Electrocardiologic and related methods of non-invasive detection and risk stratification in myocardial ischemia: state of the art and perspectives.

Authors:  Thomas Huebner; Matthias Goernig; Michael Schuepbach; Ernst Sanz; Roland Pilgram; Andrea Seeck; Andreas Voss
Journal:  Ger Med Sci       Date:  2010-10-11

7.  Cardiogoniometry as a diagnostic tool in patients with acute coronary syndromes: results of the CGM@ACS trial.

Authors:  Ralph Tölg; Uwe Zeymer; Ralf Birkemeyer; Rainer Wessely; Holger Eggebrecht; Wolfgang Bocksch; Steffen Schneider; Gert Richardt; Christian Hamm
Journal:  Clin Res Cardiol       Date:  2012-04-07       Impact factor: 5.460

8.  Accuracy of cardiogoniometry compared with electrocardiography in the diagnosis of coronary artery disease.

Authors:  Behshid Ghadrdoost; Majid Haghjoo; Ata Firouzi
Journal:  Res Cardiovasc Med       Date:  2015-02-20

9.  Cardiogoniometry in psoriatic patients and its comparison with a control group.

Authors:  Hoorak Poorzand; Bita Kiafar; Fardideh Asadzadeh Heravi; Mohammad Vejdanparast; Azadeh Saki; Mohammad Tayebi; Negar Morovatdar; Neda Karimabadi
Journal:  Indian Heart J       Date:  2016-06-11

10.  Cardiogoniometry Compared to Fractional Flow Reserve at Identifying Physiologically Significant Coronary Stenosis: The CARDIOFLOW Study.

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

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