Literature DB >> 10477413

How accurate is visual assessment of synchronicity in myocardial motion? An In vitro study with computer-simulated regional delay in myocardial motion: clinical implications for rest and stress echocardiography studies.

J P Kvitting1, L Wigström, J M Strotmann, G R Sutherland.   

Abstract

Asynchronicity in echocardiographic images is normally assessed visually. No prior quantitative studies have determined the limitations of this approach. To quantify visual recognition of myocardial asynchronicity in echocardiographic images, computer-simulated delay phantom loops were generated from a 3.3 MHz digital image data from a normal left ventricular short-axis heart cycle acquired at 55 frames per second. Six expert observers visually assessed 30 abnormal and 3 normal loops with differing computer-induced delay patterns on 3 occasions and in this optimally simulated environment could recognize only single delays of 89 ms or more. This was improved to 71 ms or more by use of side-by-side (normal versus abnormal) comparative review. Thus visual assessment of clinically important regional delay in rest or stress echo images is limited.

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Year:  1999        PMID: 10477413     DOI: 10.1016/s0894-7317(99)70019-2

Source DB:  PubMed          Journal:  J Am Soc Echocardiogr        ISSN: 0894-7317            Impact factor:   5.251


  15 in total

1.  Cardiac tissue Doppler imaging in sports medicine.

Authors:  Anne Krieg; Jürgen Scharhag; Wilfried Kindermann; Axel Urhausen
Journal:  Sports Med       Date:  2007       Impact factor: 11.136

2.  Assessment of ischemic myocardium by strain-rate imaging during adenosine stress echocardiography.

Authors:  Hai-Yan Qu; Gui-Hua Yao; Wen-Yu Sun; Liang Chen; Xiao-Nan Li; Peng-Fei Zhang; Shi-Fang Ding; Xue Wang; Yun Zhang; Mei Zhang
Journal:  Int J Cardiovasc Imaging       Date:  2007-03-17       Impact factor: 2.357

3.  Quantifying "normalized" regional left ventricular contractile function in ischemic coronary artery disease.

Authors:  Matthew C Henn; Brian P Cupps; Julia Kar; Kevin Kulshrestha; Danielle Koerner; Alan C Braverman; Michael K Pasque
Journal:  J Thorac Cardiovasc Surg       Date:  2015-04-01       Impact factor: 5.209

4.  Comprehensive Modeling and Visualization of Cardiac Anatomy and Physiology from CT Imaging and Computer Simulations.

Authors:  Guanglei Xiong; Peng Sun; Haoyin Zhou; Seongmin Ha; Briain O Hartaigh; Quynh A Truong; James K Min
Journal:  IEEE Trans Vis Comput Graph       Date:  2016-02-05       Impact factor: 4.579

5.  Machine learning of the spatio-temporal characteristics of echocardiographic deformation curves for infarct classification.

Authors:  Mahdi Tabassian; Martino Alessandrini; Lieven Herbots; Oana Mirea; Efstathios D Pagourelias; Ruta Jasaityte; Jan Engvall; Luca De Marchi; Guido Masetti; Jan D'hooge
Journal:  Int J Cardiovasc Imaging       Date:  2017-03-20       Impact factor: 2.357

Review 6.  Perioperative assessment of myocardial deformation.

Authors:  Andra E Duncan; Andrej Alfirevic; Daniel I Sessler; Zoran B Popovic; James D Thomas
Journal:  Anesth Analg       Date:  2014-03       Impact factor: 5.108

7.  Baseline and follow-up assessment of regional left ventricular volume using 3-Dimensional echocardiography: comparison with cardiac magnetic resonance.

Authors:  Carly Jenkins; Thomas H Marwick
Journal:  Cardiovasc Ultrasound       Date:  2009-11-19       Impact factor: 2.062

8.  Dilated Cardiomyopathy: Normalized Multiparametric Myocardial Strain Predicts Contractile Recovery.

Authors:  Matthew C Henn; Christopher P Lawrance; Julia Kar; Brian P Cupps; Kevin Kulshrestha; Danielle Koerner; Kathleen Wallace; Susan Joseph; Greg Ewald; Michael K Pasque
Journal:  Ann Thorac Surg       Date:  2015-07-28       Impact factor: 4.330

9.  High frequency ultrasound imaging detects cardiac dyssynchrony in noninfarcted regions of the murine left ventricle late after reperfused myocardial infarction.

Authors:  Yinbo Li; Christopher D Garson; Yaqin Xu; Brent A French; John A Hossack
Journal:  Ultrasound Med Biol       Date:  2008-03-03       Impact factor: 2.998

10.  Longitudinal peak strain detects a smaller risk area than visual assessment of wall motion in acute myocardial infarction.

Authors:  Lene Rosendahl; Peter Blomstrand; Lars Brudin; Tim Tödt; Jan E Engvall
Journal:  Cardiovasc Ultrasound       Date:  2010-01-11       Impact factor: 2.062

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