Articles with "regional wall" as a keyword



Photo by nci from unsplash

Reply: Characteristic Left Ventricular Regional Wall Motion Abnormality Can Help Prevent Unnecessary Ischemic Workup.

Sign Up to like & get
recommendations!
Published in 2017 at "Journal of the American College of Cardiology"

DOI: 10.1016/j.jacc.2016.12.032

Abstract: We thank Dr. Drinkovic for his comments on our study. Attempts to further explore noninvasive methodologies to sufficiently differentiate between nonischemic and ischemic etiologies of dilated cardiomyopathy are of clear interest [(1−4)][1] because they have… read more here.

Keywords: wall motion; regional wall; reply characteristic; ventricular regional ... See more keywords
Photo from wikipedia

Clinical implications of exercise‐induced regional wall motion abnormalities in significant aortic regurgitation

Sign Up to like & get
recommendations!
Published in 2020 at "Echocardiography"

DOI: 10.1111/echo.14855

Abstract: Significant aortic regurgitation (AR) is sometimes accompanied by regional wall motion abnormalities (RWMA) during exercise stress echocardiography. The aim of this study was to estimate the association between RWMA after exercise and in the presence… read more here.

Keywords: wall motion; regional wall; aortic regurgitation; significant aortic ... See more keywords
Photo from wikipedia

Four‐dimensional quantification on left atrial volume‐strain in coronary heart disease patients without regional wall motion abnormalities: Correlation with the severity of coronary stenosis

Sign Up to like & get
recommendations!
Published in 2022 at "Echocardiography"

DOI: 10.1111/echo.15355

Abstract: Echocardiography is a time and cost‐effective imaging modality, providing evidence of myocardial ischemia by detecting the regional wall motion abnormalities (RWMA). However, quite a few coronary heart disease (CHD) patients do not present RWMA. The… read more here.

Keywords: heart disease; disease; coronary heart; regional wall ... See more keywords
Photo from wikipedia

Automated Recognition of Regional Wall Motion Abnormalities Through Deep Neural Network Interpretation of Transthoracic Echocardiography

Sign Up to like & get
recommendations!
Published in 2020 at "Circulation"

DOI: 10.1161/circulationaha.120.047530

Abstract: Supplemental Digital Content is available in the text. Background: Automated interpretation of echocardiography by deep neural networks could support clinical reporting and improve efficiency. Whereas previous studies have evaluated spatial relationships using still frame images,… read more here.

Keywords: regional wall; validation; model; wall motion ... See more keywords