Speckle tracking stress echocardiography in children: interobserver and intraobserver reproducibility and the impact of echocardiographic image quality.
Lucia WilkeFrancisca E Abellan SchneyderMarkus RoskopfAndreas C JenkeAndreas HeuschKai Oliver HenselPublished in: Scientific reports (2018)
Speckle tracking echocardiography (STE) is increasingly used during functional assessments. However, reproducibility and dependence on echocardiographic image quality for speckle tracking stress echocardiography in pediatric patients have not been studied to date. 127 consecutive normotensive children without structural heart disease (mean age 13.4 ± 3.0 years, 50.4% female) underwent a stepwise semisupine cycle ergometric protocol. Left ventricular (LV) myocardial peak strain and strain rate were assessed at rest and during exercise. Interobserver and intraobserver assessments were performed and analyzed regarding echocardiographic image quality. LV peak global strain and strain rate were well reproducible with narrow limits of agreement without any significant bias both at rest and during all stages of exercise testing. Moreover, strain rate reproducibility slightly deteriorated in values between -1.5 and -3 s-1. Surprisingly, there was no significant difference in reproducibility between optimal, intermediate and poor quality of echocardiographic images. STE derived strain and strain rate measurements in children are feasible and highly reproducible during semisupine cycle ergometric stress echocardiography. Echocardiographic image quality does not seem to influence strain (rate) reproducibility. Myocardial deformation measurements in images with suboptimal visualization quality must be interpreted with caution.
Keyphrases
- left ventricular
- image quality
- computed tomography
- pulmonary hypertension
- left atrial
- mitral valve
- hypertrophic cardiomyopathy
- cardiac resynchronization therapy
- acute myocardial infarction
- heart failure
- aortic stenosis
- dual energy
- young adults
- deep learning
- magnetic resonance imaging
- randomized controlled trial
- physical activity
- machine learning
- high intensity
- ejection fraction
- convolutional neural network
- magnetic resonance
- resistance training
- stress induced
- quality improvement
- atrial fibrillation
- coronary artery disease
- contrast enhanced