Search

Background: Echocardiographic determination of ejection fraction (EF) by manual tracing of endocardial borders is time consuming and operator dependent, whereas visual assessment is inherently subjective., Objectives: This study tested the hypothesis that a novel, fully automated software using machine learning-enabled image analysis will provide rapid, reproducible measurements of left ventricular volumes and EF, as well as average biplane longitudinal strain (LS)., Methods: For a total of 255 patients in sinus rhythm, apical 4- and 2-chamber views were collected from 4 centers that assessed EF using both visual estimation and manual tracing (biplane Simpson's method). In addition, datasets were saved in a centralized database, and machine learning-enabled software (AutoLV, TomTec-Arena 1.2, TomTec Imaging Systems, Unterschleissheim, Germany) was applied for fully automated EF and LS measurements. A reference center reanalyzed all datasets (by visual estimation and manual tracking), along with manual LS determinations., Results: AutoLV measurements were feasible in 98% of studies, and the average analysis time was 8 ± 1 s/patient. Interclass correlation coefficients and Bland-Altman analysis revealed good agreements among automated EF, local center manual tracking, and reference center manual tracking, but not for visual EF assessments. Similarly, automated and manual LS measurements obtained at the reference center showed good agreement. Intraobserver variability was higher for visual EF than for manual EF or manual LS, whereas interobserver variability was higher for both visual and manual EF, but not different for LS. Automated EF and LS had no variability., Conclusions: Fully automated analysis of echocardiography images provides rapid and reproducible assessment of left ventricular EF and LS., (Copyright © 2015 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.)

There is some evidence that long-term high-intensity endurance training might be associated with deterioration in cardiac function and might impose a potential risk for cardiovascular events. Thus, the intention was to retrospectively evaluate the cardiac status in former endurance athletes, particularly right ventricular (RV) dimension and function, to reveal potential cardiac damage. A group of 12 former world-class swimmers (45 ± 1.5 years) was examined 24.9 ± 4.3 years after cessation of high-intensity endurance training. They underwent history taking, physical examination, ECG, exercise testing and echocardiography. Furthermore, functional and echocardiography data that were also available from former evaluations were included in the analysis. There was a significant decline in exercise capacity. LV function was normal with a decrease in septal thickness to 9.1 ± 1.3 (p < 0.05) and LV diastolic diameter to 48.9 ± 5.6 (p < 0.05). Still, there was a remaining septal hypertrophy. RV function was 55.3 ± 4.2% and there were normal RV dimensions adjusted for body surface area. 25 years after the cessation of endurance training there was a normal RV and LV function with a normalization of almost all diameters, still there was a mild LV hypertrophy in some athletes. Consequently, no relevant long-term cardiac remodeling after intensive endurance training was depicted in this group of athletes.

Congestive heart failure is frequent and leads to reduced exercise capacity, reduced quality of life (QoL), and depression in many patients. Cardiac resynchronization therapy (CRT) and implantable cardioverter defibrillators (ICD) offer therapeutic options and may have an impact on QoL and depression. This study was performed to evaluate physical and mental health in patients undergoing ICD or combined CRT/ICD-implantation (CRT-D). Echocardiography, spiroergometry, and psychometric questionnaires [Beck Depression Inventory, General World Health Organization Five Well-being Index (WHO-5), Brief Symptom Inventory and 36-item Short Form (SF-36)] were obtained in 39 patients (ICD: 17, CRT-D: 22) at baseline and 6-month follow-up (FU) after device implantation. CRT-D patients had a higher NYHA class and broader left bundle branch block than ICD patients at baseline. At FU, ejection fraction (EF), peak oxygen uptake, and NYHA class improved significantly in CRT-D patients but remained unchanged in ICD patients. Patients with CRT-D implantation showed higher levels of depressive symptoms, psychological distress, and impairment in QoL at baseline and FU compared to ICD patients. These impairments remained mostly unchanged in all patients after 6 months. Overall, these findings imply that there is a need for careful assessment and treatment of psychological distress and depression in ICD and CRT-D patients in the course of device implantation as psychological burden seems to persist irrespective of physical improvement.

Three-dimensional (3D)-imaging provides important information on cardiac anatomy during electrophysiological procedures. Real-time updates of modalities with high soft-tissue contrast are particularly advantageous during cardiac procedures. Therefore, a beat to beat 3D visualization of cardiac anatomy by intracardiac echocardiography (ICE) was developed and tested in phantoms and animals. An electronic phased-array 5-10 MHz ICE-catheter (Acuson, AcuNav/Siemens Medical Solutions USA/64 elements) providing a 90° sector image was used for ICE-imaging. A custom-made mechanical prototype controlled by a servo motor allowed automatic rotation of the ICE-catheter around its longitudinal axis. During a single heartbeat, the ICE-catheter was rotated and 2D-images were acquired. Reconstruction into a 3D volume and rendering by a prototype software was performed beat to beat. After experimental validation using a rigid phantom, the system was tested in an animal study and afterwards, for quantitative validation, in a dynamic phantom. Acquisition of beat to beat 3D-reconstruction was technically feasible. However, twisting of the ICE-catheter shaft due to friction and torsion was found and rotation was hampered. Also, depiction of catheters was not always ensured in case of parallel alignment. Using a curved sheath for depiction of cardiac anatomy there was no congruent depiction of shape and dimension of static and moving objects. Beat to beat 3D-ICE-imaging is feasible. However, shape and dimension of static and moving objects cannot always be displayed with necessary steadiness as needed in the clinical setting. As catheter depiction is also limited, clinical use seems impossible.

Cardiac resynchronization therapy provides a treatment option for patients with congestive heart failure. Electrodes are usually advanced via the cardiac venous system (CVS). Placement is often hampered by small vessel diameter or tortuosity. The aim of this study was to develop and test a magnetized stimulation wire (MSW) capable of being navigated into small and tortuous CVS branches. Therefore, a conventional guide wire with a permanent magnet and a single stimulation electrode at its tip was coated with iridium oxide at the distal end and insulated except for the very tip (coating thickness: 500 nm, active uncoated area: 10 mm(2)). The MSW was designed to allow for a remote magnetic steering using a magnetic navigation system (MN) (Stereotaxis™). After in vitro testing of the electrical properties, the MSW was tested in an animal model (n=6 sheep): the MSW was placed in a CVS side branch and navigation characteristics of the MSW were determined. The effective (unipolar) pacing threshold was 4.9±2.4 V (at 2 ms pulse width). The rheobase was 1.89±0.44 V and the chronaxie time was 0.75±0.7 ms. The MSW could be navigated into small CVS branches with reasonable MN properties. This could allow stimulation at CVS sites currently not accessible for conventional stimulation catheters or electrodes.

Objectives: This study sought to evaluate whether left ventricular (LV) lead position in cardiac resynchronization therapy (CRT) can be determined by myocardial deformation imaging during LV pacing and to compare imaging techniques for analysis of LV lead position., Background: LV lead position has a significant impact on effectiveness of CRT, but clinically applicable methods to determine LV lead position are less defined., Methods: In 56 patients (53 +/- 5 years, 34 men) undergoing CRT, fluoroscopy and 2 myocardial deformation imaging-based approaches were applied to determine the LV lead position. Myocardial deformation imaging-based techniques were used to determine 1) the segment with maximal temporal difference of peak circumferential strain before and while on biventricular CRT; and 2) the segment with earliest peak systolic circumferential strain during pure LV pacing. Twelve-month echocardiography was performed to determine LV remodeling and improvement in function. Optimal LV lead position was defined as concordance or immediate neighboring of the determined LV lead position to the segment with latest systolic strain prior to CRT., Results: LV lead position determined during LV pacing correlated to the position determined by fluoroscopy (kappa = 0.761). Patients with optimal LV lead position had greater improvement in LV ejection fraction and decrease in end-diastolic volume than those with nonoptimal LV lead position (12 +/- 4% vs. 7 +/- 3%, p < 0.001, and 28 +/- 13 ml vs. 14 +/- 8 ml, p < 0.001, respectively). Determination of the LV lead position based on myocardial deformation imaging during LV pacing showed greater discriminatory power for improvement of ejection fraction (difference optimal vs. nonoptimal lead position group: 4.64 +/- 1.01 ml; p < 0.001) than deformation imaging with biventricular pacing (3.03 +/- 1.08 ml; p = 0.007) and fluoroscopy (2.22 +/- 1.12 ml; p = 0.053)., Conclusions: Myocardial deformation imaging during LV pacing allows determination of the LV lead position in CRT. Improvement in LV function and remodeling as indicators of optimal LV lead position can be best predicted by LV lead position analysis during LV pacing. (Left Ventricular Lead Position in Cardiac Resynchronization Therapy; NCT00748735)., (Copyright 2010 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.)