Login
Search
Search
0 Dates
2024
2023
2022
2021
2020
2019
2018
0 Events
CPC 2018
CPC 2019
Curso de Atualização em Medicina Cardiovascular 2019
Reunião Anual Conjunta dos Grupos de Estudo de Cirurgia Cardíaca, Doenças Valvulares e Ecocardiografia da SPC
CPC 2020
CPC 2021
CPC 2022
CPC 2023
CPC 2024
0 Topics
A. Basics
B. Imaging
C. Arrhythmias and Device Therapy
D. Heart Failure
E. Coronary Artery Disease, Acute Coronary Syndromes, Acute Cardiac Care
F. Valvular, Myocardial, Pericardial, Pulmonary, Congenital Heart Disease
G. Aortic Disease, Peripheral Vascular Disease, Stroke
H. Interventional Cardiology and Cardiovascular Surgery
I. Hypertension
J. Preventive Cardiology
K. Cardiovascular Disease In Special Populations
L. Cardiovascular Pharmacology
M. Cardiovascular Nursing
N. E-Cardiology / Digital Health, Public Health, Health Economics, Research Methodology
O. Basic Science
P. Other
0 Themes
01. History of Cardiology
02. Clinical Skills
03. Imaging
04. Arrhythmias, General
05. Atrial Fibrillation
06. Supraventricular Tachycardia (non-AF)
07. Syncope and Bradycardia
08. Ventricular Arrhythmias and Sudden Cardiac Death (SCD)
09. Device Therapy
10. Chronic Heart Failure
11. Acute Heart Failure
12. Coronary Artery Disease (Chronic)
13. Acute Coronary Syndromes
14. Acute Cardiac Care
15. Valvular Heart Disease
16. Infective Endocarditis
17. Myocardial Disease
18. Pericardial Disease
19. Tumors of the Heart
20. Congenital Heart Disease and Pediatric Cardiology
21. Pulmonary Circulation, Pulmonary Embolism, Right Heart Failure
22. Aortic Disease
23. Peripheral Vascular and Cerebrovascular Disease
24. Stroke
25. Interventional Cardiology
26. Cardiovascular Surgery
27. Hypertension
28. Risk Factors and Prevention
29. Rehabilitation and Sports Cardiology
30. Cardiovascular Disease in Special Populations
31. Pharmacology and Pharmacotherapy
32. Cardiovascular Nursing
33. e-Cardiology / Digital Health
34. Public Health and Health Economics
35. Research Methodology
36. Basic Science
37. Miscellanea
0 Resources
Abstract
Slides
Vídeo
Report
CLEAR FILTERS
Three dimensional cardiac mechanics: a echocardiographic study focusing on variability
Session:
Posters 3 - Écran 9 - Imagiologia Cardiovascular
Speaker:
Maria João Matos Vieira
Congress:
CPC 2019
Topic:
A. Basics
Theme:
02. Clinical Skills
Subtheme:
02.4 Clinical Skills - Other
Session Type:
Posters
FP Number:
---
Authors:
Maria João Matos Vieira; Alexandra Leon; Lino Gonçalves; Rogerio Teixeira
Abstract
<p>Recent decades have been marked by substantial advances in echocardiography imaging including the development of three-dimensional techniques with automated analysis. This evolution raised the question as how much echocardiography training among 3D-systems deformation analysis is needed to ensure feasibility and accuracy of the evaluation.</p> <p><strong>Purpose:</strong></p> <p>Assess the reproducibility and feasibility of 3D-longitudinal strain analysis by transthoracic echocardiographic evaluation performed by expert echocardiographer vs a medical student.</p> <p><strong>Methods: </strong></p> <p>A medical student went an organized training program (4 weeks, 8 hours a day) in 3D echocardiographic principles, image acquisition, and mechanics analysis. Subsequently, based on 10 hypertrophic myocardiopathy stored echocardiographic exams with 3D images acquisition, the medical student performed a deformation parameters analysis (left ventricular longitudinal strain). To test intra-observer variability, the student performed a three-time analysis with some days apart. To test inter-observer variability, results were compared with those obtained previously by an echocardiographer. The medical student analysis was performed blinded to previous results. The data collection was done using Aplio i900 (Canon/Toshiba® Medical Systems). Cine-loops were recorded, and quantitative analyses were conducted off-line. To determine intra and inter-observer variability, the coefficient of variability, kappa coefficient and a Bland-Altman plot analysis was used.</p> <p><strong>Results: </strong></p> <p>Regarding inter-observer variability, coefficient of variation was -10,6% ± 1,28%, with a kappa coefficient of 0,65 ± 0,12; (95% CI: 0,41-0,89). The bias was 1,0 with 95% limits of agreement of 2,4 to 4,5. When excluding the two patients with sub-optimal images, the coefficient of variation decreases to -3,6% ± 0,5 with a kappa coefficient of 0,77 ± 0,05 (95% CI: 0,66-0,88), with a decrease in bias to 0,32 with a 95%limits of agreement of -0,97 to 1,62) Intra-observer variability was calculated as absolute difference between measurements over the mean of those measurements with an intraclass correlation of 0,97 (95% CI: 0,92-0,99).</p> <p><strong>Conclusion:</strong></p> <p>A medical students imaging program focusing on the use of 3D cardiac mechanics by speckle-tracking echocardiography analysis is feasible and results in accurate post-processing analysis. These finding re-enforce the reproducibility of this technique. However, the quality of the acoustic window is important and likely affects an accurate tracking of left ventricular wall.</p>
Slides
Our mission: To reduce the burden of cardiovascular disease
Visit our site