Combination of single quantitative parameters into multiparametric model for ischemia detection is not superior to visual assessment during dobutamine stress echocardiographyReportar como inadecuado




Combination of single quantitative parameters into multiparametric model for ischemia detection is not superior to visual assessment during dobutamine stress echocardiography - Descarga este documento en PDF. Documentación en PDF para descargar gratis. Disponible también para leer online.

Cardiovascular Ultrasound

, 14:13

First Online: 12 April 2016Received: 15 December 2015Accepted: 02 April 2016

Abstract

BackgroundTo evaluate if the combination of several quantitative parameters into a mathematical model would enhance the detection of myocardial ischemia during dobutamine stress echocardiography DSE when compared to conventional wall motion analysis.

MethodsIn a prospective study design 151 patients age 61.8 ± 9.2 in test group and 105 patients age 64.0 ± 10.6 in validation group were selected and underwent DSE between January 2008 and December 2012. In all patients coronary angiography was performed within 6-8 weeks from DSE, considering at least one stenosis ≥50 % per patient as significant coronary artery disease CAD. Results of DSE visual assessment and myocardial velocity, strain and strain rate parameters derived from speckle tracking imaging were imported automatically to an originally created software. A mathematical model calculating prognosis of at least one stenosis per patient and stenosis in separate arteries was constructed.

ResultsMyocardial ischemia was visually detected in 60 39.7 % and in 58 54.2 % patients of the test and validation group, respectively. A total of 76 50.3 % patients in the test group and 69 patients 65.7 % in the validation group had ≥50 % coronary stenosis. Sensitivity and specificity of the mathematical model per patient in the test group were 91.6 % and 86.3 % compared to 76.8 % and 89.0 % of the visual assessment, respectively. However, in the validation group the sensitivity, specificity, positive predictive value and negative predictive value dropped down significantly becoming lower to visual assessment.

ConclusionsMyocardial deformation imaging may potentially replace visual assessment with an automated predictive model for stress-induced ischemia detection. However, a multiparametric mathematical model based on quantitative deformation markers did not demonstrate incremental value to visual assessment of wall motion.

KeywordsCoronary artery disease Dobutamine stress echocardiography Speckle tracking Myocardial deformation imaging Machine learning AbbreviationsCADCoronary artery disease

DSEDobutamine stress echocardiography

ECGElectrocardiogram

EFEjection fraction

LADLeft ascending artery

LCXLeft circumflex artery

LVLeft ventricular

RCARight coronary artery

STISpeckle tracking imag

WMSIWall motion score index

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Autor: Jelena Čelutkienė - Greta Burneikaitė - Linas Petkevičius - Laura Balkevičienė - Aleksandras Laucevičius

Fuente: https://link.springer.com/article/10.1186/s12947-016-0055-6



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