Literature DB >> 29936668

The clinical evaluation of the CADence device in the acoustic detection of coronary artery disease.

Joseph L Thomas1,2, Michael Ridner3, Jason H Cole4, Jeffrey W Chambers5, Sabahat Bokhari6, Demetris Yannopoulos7, Morton Kern8, Robert F Wilson7, Matthew J Budoff9.   

Abstract

The noninvasive detection of turbulent coronary flow may enable diagnosis of significant coronary artery disease (CAD) using novel sensor and analytic technology. Eligible patients (n = 1013) with chest pain and CAD risk factors undergoing nuclear stress testing were studied using the CADence (AUM Cardiovascular Inc., Northfield MN) acoustic detection (AD) system. The trial was designed to demonstrate non-inferiority of AD for diagnostic accuracy in detecting significant CAD as compared to an objective performance criteria (sensitivity 83% and specificity 80%, with 15% non-inferiority margins) for nuclear stress testing. AD analysis was blinded to clinical, core lab-adjudicated angiographic, and nuclear data. The presence of significant CAD was determined by computed tomographic (CCTA) or invasive angiography. A total of 1013 subjects without prior coronary revascularization or Q-wave myocardial infarction were enrolled. Primary analysis was performed on subjects with complete angiographic and AD data (n = 763) including 111 subjects (15%) with severe CAD based on CCTA (n = 34) and invasive angiography (n = 77). The sensitivity and specificity of AD were 78% (p = 0.012 for non-inferiority) and 35% (p < 0.001 for failure to demonstrate non-inferiority), respectively. AD results had a high 91% negative predictive value for the presence of significant CAD. AD testing failed to demonstrate non-inferior diagnostic accuracy as compared to the historical performance of a nuclear stress OPC due to low specificity. AD sensitivity was non-inferior in detecting significant CAD with a high negative predictive value supporting a potential value in excluding CAD.

Entities:  

Keywords:  Acoustic cardiography; Coronary artery disease; Coronary stenosis; Myocardial ischemia

Mesh:

Year:  2018        PMID: 29936668     DOI: 10.1007/s10554-018-1403-4

Source DB:  PubMed          Journal:  Int J Cardiovasc Imaging        ISSN: 1569-5794            Impact factor:   2.357


  27 in total

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Journal:  Circulation       Date:  2014-07-28       Impact factor: 29.690

3.  Pseudo-sound generation at atherosclerotic constrictions in arteries.

Authors:  J J Fredberg
Journal:  Bull Math Biol       Date:  1974-04       Impact factor: 1.758

4.  Noninvasive characterization of the sound pattern caused by coronary artery stenosis using FTF/FAEST zero tracking filters: normal/abnormal study.

Authors:  M Akay; Y M Akay; W Welkowitz; J L Semmlow; J Kostis
Journal:  Ann Biomed Eng       Date:  1993 Mar-Apr       Impact factor: 3.934

5.  Utility of an advanced digital electronic stethoscope in the diagnosis of coronary artery disease compared with coronary computed tomographic angiography.

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Journal:  Am J Cardiol       Date:  2013-01-01       Impact factor: 2.778

6.  Application of adaptive filters to noninvasive acoustical detection of coronary occlusions before and after angioplasty.

Authors:  M Akay; Y M Akay; W Welkowitz; J L Semmlow; J B Kostis
Journal:  IEEE Trans Biomed Eng       Date:  1992-02       Impact factor: 4.538

7.  Detection of significant coronary artery disease by noninvasive anatomical and functional imaging.

Authors:  Danilo Neglia; Daniele Rovai; Chiara Caselli; Mikko Pietila; Anna Teresinska; Santiago Aguadé-Bruix; Maria Nazarena Pizzi; Giancarlo Todiere; Alessia Gimelli; Stephen Schroeder; Tanja Drosch; Rosa Poddighe; Giancarlo Casolo; Constantinos Anagnostopoulos; Francesca Pugliese; Francois Rouzet; Dominique Le Guludec; Francesco Cappelli; Serafina Valente; Gian Franco Gensini; Camilla Zawaideh; Selene Capitanio; Gianmario Sambuceti; Fabio Marsico; Pasquale Perrone Filardi; Covadonga Fernández-Golfín; Luis M Rincón; Frank P Graner; Michiel A de Graaf; Michael Fiechter; Julia Stehli; Oliver Gaemperli; Eliana Reyes; Sandy Nkomo; Maija Mäki; Valentina Lorenzoni; Giuseppe Turchetti; Clara Carpeggiani; Martina Marinelli; Stefano Puzzuoli; Maurizio Mangione; Paolo Marcheschi; Fabio Mariani; Daniela Giannessi; Stephan Nekolla; Massimo Lombardi; Rosa Sicari; Arthur J H A Scholte; José L Zamorano; Philipp A Kaufmann; S Richard Underwood; Juhani Knuuti
Journal:  Circ Cardiovasc Imaging       Date:  2015-03       Impact factor: 7.792

8.  Temporal trends in the frequency of inducible myocardial ischemia during cardiac stress testing: 1991 to 2009.

Authors:  Alan Rozanski; Heidi Gransar; Sean W Hayes; James Min; John D Friedman; Louise E J Thomson; Daniel S Berman
Journal:  J Am Coll Cardiol       Date:  2013-03-12       Impact factor: 24.094

9.  Audible Coronary Artery Stenosis.

Authors:  Farzad Azimpour; Emily Caldwell; Pierre Tawfik; Sue Duval; Robert F Wilson
Journal:  Am J Med       Date:  2016-02-02       Impact factor: 4.965

10.  Diagnosing coronary artery disease by sound analysis from coronary stenosis induced turbulent blood flow: diagnostic performance in patients with stable angina pectoris.

Authors:  Simon Winther; Samuel Emil Schmidt; Niels Ramsing Holm; Egon Toft; Johannes Jan Struijk; Hans Erik Bøtker; Morten Bøttcher
Journal:  Int J Cardiovasc Imaging       Date:  2015-09-03       Impact factor: 2.357

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  2 in total

1.  Utility of deep learning for the diagnosis of otosclerosis on temporal bone CT.

Authors:  Noriyuki Fujima; V Carlota Andreu-Arasa; Keita Onoue; Peter C Weber; Richard D Hubbell; Bindu N Setty; Osamu Sakai
Journal:  Eur Radiol       Date:  2021-01-06       Impact factor: 5.315

2.  Coronary artery disease risk reclassification by a new acoustic-based score.

Authors:  S E Schmidt; S Winther; B S Larsen; M H Groenhoej; L Nissen; J Westra; L Frost; N R Holm; H Mickley; F H Steffensen; J Lambrechtsen; M S Nørskov; J J Struijk; A C P Diederichsen; M Boettcher
Journal:  Int J Cardiovasc Imaging       Date:  2019-07-04       Impact factor: 2.357

  2 in total

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