scholarly journals THE DIAGNOSTIC VALUE OF THE ECHOCARDIOGRAPHIC MYOCARDIAL INDEX OF TEI IN THE ESTIMATION OF DISORDERS OF THE PUMP AND CONTRACTILE FUNCTIONS OF THE LEFT VENTRICLE

2019 ◽  
Vol 34 (1) ◽  
pp. 61-68
Author(s):  
A. A. Sokolov ◽  
G. I. Martsinkevich ◽  
A. V. Smorgon
Keyword(s):  
Left Ventricle ◽  
Normal Values ◽  
Heart Defects ◽  
Diagnostic Value ◽  
Left Ventricular ◽  
Healthy Individuals ◽  
Tei Index ◽  
Diagnostic Significance ◽  
Abnormal Volume ◽  
Ventricular Filling Pressure

Aim. To evaluate the informational and diagnostic significance of the myocardial Tei index.Patients and methods. The study assessed data of echocardiographic studies of 9,256 patients aged 1 month to 60 years, 1,350 healthy individuals, and 7,906 patients with various cardiovascular diseases with abnormal volume-capacitive characteristics of the heart (congenital heart defects, different types of cardiopathy, and hypertensive disease).Results. The cutting points of the normal values of the indicator were established. Data showed that the Tei index did not reflect changes in the pumping function of the left ventricle and did not depend on the contractility of the left ventricle (LV), but it had direct significant correlation with the left ventricular filling pressure, both in normal and pathological conditions. Correlation was more significant in adult patients.Conclusion. Normal values of the Tei index less than 0.5 were observed in more than 95% of practically healthy individuals of any age. The maximum sensitivity and specificity of the myocardial performance index was found in patients with restrictive and dilated cardiopathy and common atrioventricular connection.

scholarly journals THE DIAGNOSTIC VALUE OF THE ECHOCARDIOGRAPHIC MYOCARDIAL INDEX OF TEI IN THE ESTIMATION OF DISORDERS OF THE PUMP AND CONTRACTILE FUNCTIONS OF THE LEFT VENTRICLE

2019 ◽  
Vol 34 (1) ◽  
pp. 61-68
Author(s):  
A. A. Sokolov ◽  
G. I. Martsinkevich ◽  
A. V. Smorgon
Keyword(s):  
Left Ventricle ◽  
Normal Values ◽  
Heart Defects ◽  
Diagnostic Value ◽  
Left Ventricular ◽  
Healthy Individuals ◽  
Tei Index ◽  
Diagnostic Significance ◽  
Abnormal Volume ◽  
Ventricular Filling Pressure

Aim. To evaluate the informational and diagnostic significance of the myocardial Tei index.Patients and methods. The study assessed data of echocardiographic studies of 9,256 patients aged 1 month to 60 years, 1,350 healthy individuals, and 7,906 patients with various cardiovascular diseases with abnormal volume-capacitive characteristics of the heart (congenital heart defects, different types of cardiopathy, and hypertensive disease).Results. The cutting points of the normal values of the indicator were established. Data showed that the Tei index did not reflect changes in the pumping function of the left ventricle and did not depend on the contractility of the left ventricle (LV), but it had direct significant correlation with the left ventricular filling pressure, both in normal and pathological conditions. Correlation was more significant in adult patients.Conclusion. Normal values of the Tei index less than 0.5 were observed in more than 95% of practically healthy individuals of any age. The maximum sensitivity and specificity of the myocardial performance index was found in patients with restrictive and dilated cardiopathy and common atrioventricular connection.

EVALUATION OF LEFT VENTRICULAR FILLING PRESSURE USING NUMERICAL MODELING

2020 ◽  
Vol 20 (07) ◽  
pp. 2050043
Author(s):  
A. BENFOULA ◽  
L. HAMZA CHERIF ◽  
K. N. HAKKOUM
Keyword(s):  
Fluid Dynamics ◽  
Numerical Simulation ◽  
Left Ventricle ◽  
Numerical Simulations ◽  
Left Ventricular ◽  
Filling Pressure ◽  
Proof Of Concept ◽  
Ventricular Dilation ◽  
Ventricular Filling Pressure ◽  
Ventricular Filling

The main objective of this work is to study the effect of blood pressure and viscosity on flow in a pathological and healthy anatomy. The method chosen for this project is the numerical simulation of fluid dynamics. First, a radiological database from Tlemcen hospital was studied in order to select a patient whose aortic anatomy is representative of the pathology studied in this research project. The left ventricle was segmented using SolidWork software. The exported data made it possible to model this geometry on Comsol software. The geometry has been idealized to make it comparable to a given healthy left ventricle geometry and present the main parameters which influence the ventricular hemodynamics. A first series of numerical simulations made it possible to highlight the hemodynamic disturbances associated with the pathology of interest and described extensively in the literature. A second series of numerical simulations made it possible to model the effect of blood viscosity on flow. All the results obtained, the modeling of the left ventricle, must be valid experimentally. This study therefore does not completely justify the treatment of ventricular dilation with a flow modulator but constitutes an important first step towards a proof of concept.

Short-Time Impact of Laser Ablation of Placental Anastomoses on Myocardial Function in Monochorionic Twins with Twin-to-Twin Transfusion Syndrome

2015 ◽  
Vol 38 (04) ◽  
pp. 403-410 ◽  
Author(s):  
Jan Degenhardt ◽  
Meike Reinold ◽  
Christian Enzensberger ◽  
Aline Wolter ◽  
Andrea Kawecki ◽  
...  
Keyword(s):  
Laser Ablation ◽  
Left Ventricle ◽  
Myocardial Function ◽  
Statistical Significance ◽  
Left Ventricular ◽  
Left Ventricular Ejection ◽  
Tei Index ◽  
Ejection Time ◽  
Monochorionic Twins ◽  
Ventricular Ejection Time

Abstract Purpose To evaluate pre- and post-procedure myocardial function in monochorionic twins with TTTS who underwent laser ablation of placental anastomoses using pulsed wave tissue Doppler imaging (pw TDI). Materials and Methods 20 monochorionic twin gestations with TTTS were included and underwent laser ablation at our center between 2011 and 2014. Prior to and after the intervention, cardiac function was assessed by measuring the mitral annular plane systolic excursion (MAPSE), the tricuspid annular plane systolic excursion (TAPSE), Tei index, isovolumetric contraction time (ICT), ejection time (ET), isovolumetric relaxation time (IRT) for the left ventricle in pulsed wave Doppler (pw D) ultrasound as well as ICT, ET, IRT and Tei index in pw TDI for the left and right ventricle. E-, A-, E´- and A´-wave peak velocity and the systolic downward motion (S´) were measured for both ventricles and the E/A, E/E´ and E´/A´ ratios were calculated. In a mean of 1.3 (SD 0.6) days after laser ablation, this measurement protocol was repeated. Results Pre-intervention recipients had longer ICT, ET and IRT in pw D and pw TDI compared to donors not reaching statistical significance for most parameters. Statistically significant were prolonged ICT in pw D (p 0.01) and ET (p 0.01) in pw TDI in recipients. In donor fetuses preoperative myocardial function did not differ significantly from postoperative myocardial function except in increased left ventricular ejection time of the left ventricle in pw TDI (p 0.04) and an increased E´/A´ratio (p 0.01). After laser coagulation, myocardial function was slightly altered in recipients as ICT and IRT shortened and Tei indices decreased but only reaching statistical significance in shortened IRTs in pw TDI for both ventricles. Conclusion Laser ablation of placental anastomoses in TTTS might influence myocardial function in the postoperative period. Shortened IRT intervals may reflect an improvement of diastolic function in recipients.

scholarly journals The modified protocol of transesophageal atrial pacing in stress echocardiography as an alternative way to increase the information value of the method for detection of ischemic wall motion abnormalities

Kardiologiia ◽  
2021 ◽  
Vol 61 (3) ◽  
pp. 71-76
Author(s):  
M. A. Saidova ◽  
J. V. Botvina ◽  
V. N. Shitov ◽  
L. S. Atabaeva
Keyword(s):  
Coronary Angiography ◽  
Stress Echocardiography ◽  
Diagnostic Value ◽  
Left Ventricular ◽  
Information Value ◽  
Atrial Pacing ◽  
Circumflex Artery ◽  
Diagnostic Significance ◽  
Coronary Insufficiency ◽  
Group 2

Aim    To develop a new, modified protocol for transesophageal atrial electric stimulation (TEAES), which would significantly enhance the diagnostic value of stress echocardiography and reduce the duration of the test in patients with ischemic heart disease (IHD).Material and methods    This study included 101 patients (80 men and 21 women aged 55±9 years) with suspected or documented diagnosis of IHD who were divided into two homogenous groups. Group 1 (51 patients) underwent stress echocardiography (stress-EchoCG) according to a standard protocol (SP) for TEAES and group 2 (50 patients), underwent stress-EchoCG according to a modified protocol (MP). In addition to stress-EchoCG with TEAES, selective coronary angiography was performed for all patients. The development of the new method for evaluating occult coronary insufficiency was based on comparison of SP and MP for TEAES with stress-EchoCG with data of coronary angiography.Results    In both groups, significant differences in values of systolic and diastolic blood pressure were absent. However, the values of achieved heart rate were significantly different: 141±11 (TEAES SP) and 155±10 (TEAES MP) bpm (p=0.01). There was also a difference in the duration of the TEAES protocols: 15±3 and 5±2 min, respectively (p=0.006). The use of the modified TEAES protocol for detecting transient disorders of left ventricular myocardial local contractility increased the sensitivity, specificity and accuracy of the test from 76 %, 87 %, and 80 % to 83 %, 92 %, and 86 %, respectively. The most significant differences were found in the area supplied by the circumflex artery: the SP and MP sensitivities were 63 % and 75 %, respectively (p<0.05) and the SP and MP accuracies were 81 % and 90 %, respectively (p<0.05).Conclusion    Evaluation of occult coronary insufficiency by stress-EchoCG with the TEAES MP as compared to the TEAES SP provides a gentler procedure regimen for the patient due to a shorter duration of the test and at the same time improves the diagnostic significance of this method in IHD patients.

scholarly journals Diagnosis of left ventricular hypertrophybased on convolutional neural network

2019 ◽  
Author(s):  
Zini Jian ◽  
Xianpei Wang ◽  
Jingzhe Zhang ◽  
Xinyu Wang ◽  
Youbin Deng
Keyword(s):  
Neural Network ◽  
Left Ventricle ◽  
Convolutional Neural Network ◽  
Posterior Wall ◽  
Video Stream ◽  
Detection Algorithm ◽  
Left Ventricular ◽  
Diagnostic Significance ◽  
Design Algorithm ◽  
Actual Measurement

Abstract Background: Clinically, doctors obtain the left ventricular posterior wall thickness (LVPWT) mainly by observing ultrasonic echocardiographic video stream to capture a single frame of images with diagnostic significance, and then mark two key points on both sides of the posterior wall of the left ventricle with their own experience for computer measurement. In the actual measurement, the doctor's selection point is subjective, which is not only time-consuming and laborious, but also difficult to accurately locate the edge, which will bring errors to the measurement results. Methods: In this paper, a convolutional neural network model of left ventricular posterior wall positioning was built under the TensorFlow framework, and the target region images were obtained after the positioning results were processed by non-local mean filtering and opening operation. Then the edge detection algorithm based on threshold segmentation is used. After the contour was extracted by adjusting the segmentation threshold through prior analysis and the OTSU algorithm, the design algorithm completed the computer selection point measurement of the thickness of the posterior wall of the left ventricle. Results: The proposed method can effectively extract the left ventricular posterior wall contour and measure its thickness. The experimental results show that the relative error between the measurement result and the hospital measurement value is less than 15%, which is less than 20% of the acceptable repeatability error in clinical practice. Conclusions: Therefore, the method proposed in this paper not only has the advantage of less manual intervention, but also can reduce the workload of doctors.

scholarly journals Diagnosis of left ventricular hypertrophy using convolutional neural network

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Zini Jian ◽  
Xianpei Wang ◽  
Jingzhe Zhang ◽  
Xinyu Wang ◽  
Youbin Deng
Keyword(s):  
Neural Network ◽  
Left Ventricle ◽  
Convolutional Neural Network ◽  
Posterior Wall ◽  
Video Stream ◽  
Detection Algorithm ◽  
Left Ventricular ◽  
Diagnostic Significance ◽  
Design Algorithm ◽  
Actual Measurement

Abstract Background Clinically, doctors obtain the left ventricular posterior wall thickness (LVPWT) mainly by observing ultrasonic echocardiographic video stream to capture a single frame of images with diagnostic significance, and then mark two key points on both sides of the posterior wall of the left ventricle with their own experience for computer measurement. In the actual measurement, the doctor’s selection point is subjective, and difficult to accurately locate the edge, which will bring errors to the measurement results. Methods In this paper, a convolutional neural network model of left ventricular posterior wall positioning was built under the TensorFlow framework, and the target region images were obtained after the positioning results were processed by non-local mean filtering and opening operation. Then the edge detection algorithm based on threshold segmentation is used. After the contour was extracted by adjusting the segmentation threshold through prior analysis and the OTSU algorithm, the design algorithm completed the computer selection point measurement of the thickness of the posterior wall of the left ventricle. Results The proposed method can effectively extract the left ventricular posterior wall contour and measure its thickness. The experimental results show that the relative error between the measurement result and the hospital measurement value is less than 15%, which is less than 20% of the acceptable repeatability error in clinical practice. Conclusions Therefore, the measurement method proposed in this paper has the advantages of less manual intervention, and the processing method is reasonable and has practical value.

scholarly journals Left ventricular mechanical function and aortic elastic properties in newborns with aortic coarctation. Prognostic significance of obtained data

2018 ◽  
Vol 22 (3) ◽  
pp. 10
Author(s):  
Y. S. Sinelnikov ◽  
E. N. Orekhova ◽  
T. V. Matanovskaya
Keyword(s):  
Left Ventricle ◽  
Conflict Of Interest ◽  
Cardiovascular Events ◽  
Heart Defects ◽  
Prognostic Significance ◽  
Coarctation Of The Aorta ◽  
Left Ventricular ◽  
Dynamic Monitoring ◽  
Ultrasound Evaluation ◽  
Increased Risk

<p>Coarctation of the aorta is one of the most common congenital heart defects. Despite excellent early results of correcting isolated coarctation of the aorta in the neonatal period, in the long-term postoperative period such patients have an increased risk of cardiovascular events. Today there are numerous studies demonstrating the signs of complex cardiovascular remodeling in patients after surgical correction of coarctation of the aorta. Pathological ventricular-arterial interaction is considered to determine the structural and functional changes in the left ventricle and the biomechanical properties of the aorta, which continue after correction of the coarctation segment of the aorta. In this respect, ultrasound evaluation of the left ventricle mechanics and aorta becomes a valuable diagnostic tool for dynamic monitoring of structural and functional remodeling of the left ventricle and severity of arteriopathy. Such evaluation will allow timely to detect increasing risk of cardiovascular events and to correct therapeutic measures.</p><p><strong>Funding:</strong> The study had no sponsorship.<br /><strong></strong></p><p><strong>Conflict of interest:</strong> The authors declare no conflict of interest.<br /><strong></strong></p><p><strong>Authors’ contribution</strong></p><p><strong></strong>Conception and study design: E.N. Orekhova, T.V. Matanovskaya</p><p>Drafting the article: E.N. Orekhova</p><p>Critical revision of the article: Y.S. Sinelnikov</p><p>Final approval of the version to be published: Y.S. Sinelnikov, E.N. Orekhova, T.V. Matanovskaya<br /><strong></strong></p><p><strong>ORCID ID</strong></p><p>Y.S. Sinelnikov, <a href="https://orcid.org/0000-0002-6819-2980">https://orcid.org/0000-0002-6819-2980</a><br />E.N. Orekhova, <a href="https://orcid.org/0000-0002-7097-8771">https://orcid.org/0000-0002-7097-8771</a><br />T.V. Matanovskaya, <a href="https://orcid.org/0000-0002-2277-8935">https://orcid.org/0000-0002-2277-8935</a></p>

scholarly journals Diagnosis of left ventricular hypertrophybased on convolutional neural network

2020 ◽  
Author(s):  
Zini Jian ◽  
Xianpei Wang ◽  
Jingzhe Zhang ◽  
Xinyu Wang ◽  
Youbin Deng
Keyword(s):  
Neural Network ◽  
Left Ventricle ◽  
Convolutional Neural Network ◽  
Posterior Wall ◽  
Video Stream ◽  
Detection Algorithm ◽  
Left Ventricular ◽  
Diagnostic Significance ◽  
Design Algorithm ◽  
Actual Measurement

Abstract Background: Clinically, doctors obtain the left ventricular posterior wall thickness (LVPWT) mainly by observing ultrasonic echocardiographic video stream to capture a single frame of images with diagnostic significance, and then mark two key points on both sides of the posterior wall of the left ventricle with their own experience for computer measurement. In the actual measurement, the doctor's selection point is subjective, which is not only time-consuming and laborious, but also difficult to accurately locate the edge, which will bring errors to the measurement results.Material/Methods: In this paper, a convolutional neural network model of left ventricular posterior wall positioning was built under the TensorFlow framework, and the target region images were obtained after the positioning results were processed by non-local mean filtering and opening operation. Then the edge detection algorithm based on threshold segmentation is used. After the contour was extracted by adjusting the segmentation threshold through prior analysis and the OTSU algorithm, the design algorithm completed the computer selection point measurement of the thickness of the posterior wall of the left ventricle. Results: The proposed method can effectively extract the left ventricular posterior wall contour and measure its thickness. The experimental results show that the relative error between the measurement result and the hospital measurement value is less than 15%, which is less than 20% of the acceptable repeatability error in clinical practice. Conclusions: Therefore, the method proposed in this paper not only has the advantage of less manual intervention, but also can reduce the workload of doctors.

scholarly journals Diagnosis of left ventricular hypertrophy using convolutional neural network

2020 ◽  
Author(s):  
Zini Jian ◽  
Xianpei Wang ◽  
Jingzhe Zhang ◽  
Xinyu Wang ◽  
Youbin Deng
Keyword(s):  
Neural Network ◽  
Left Ventricle ◽  
Convolutional Neural Network ◽  
Posterior Wall ◽  
Video Stream ◽  
Detection Algorithm ◽  
Left Ventricular ◽  
Diagnostic Significance ◽  
Design Algorithm ◽  
Actual Measurement

Abstract Background: Clinically, doctors obtain the left ventricular posterior wall thickness (LVPWT) mainly by observing ultrasonic echocardiographic video stream to capture a single frame of images with diagnostic significance, and then mark two key points on both sides of the posterior wall of the left ventricle with their own experience for computer measurement. In the actual measurement, the doctor's selection point is subjective, and difficult to accurately locate the edge, which will bring errors to the measurement results.Material/Methods: In this paper, a convolutional neural network model of left ventricular posterior wall positioning was built under the TensorFlow framework, and the target region images were obtained after the positioning results were processed by non-local mean filtering and opening operation. Then the edge detection algorithm based on threshold segmentation is used. After the contour was extracted by adjusting the segmentation threshold through prior analysis and the OTSU algorithm, the design algorithm completed the computer selection point measurement of the thickness of the posterior wall of the left ventricle. Results: The proposed method can effectively extract the left ventricular posterior wall contour and measure its thickness. The experimental results show that the relative error between the measurement result and the hospital measurement value is less than 15%, which is less than 20% of the acceptable repeatability error in clinical practice. Conclusions: Therefore, the method proposed in this paper not only has the advantage of less manual intervention, but also can reduce the workload of doctors.

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