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
Automatic measurement of atrial longitudinal shortening by artificial intelligence in CMR in the assessment of left atrial function in patients with HCM and MCD
Session:
Sessão de Posters 55 - RM Cardíaca
Speaker:
Miguel Carias
Congress:
CPC 2024
Topic:
B. Imaging
Theme:
03. Imaging
Subtheme:
03.6 Cross-Modality and Multi-Modality Imaging Topics
Session Type:
Cartazes
FP Number:
---
Authors:
Miguel Carias De Sousa; Marta Paralta; António Almeida; Rafael Viana; Bruno Piçarra; Ângela Bento; Manuel Trinca
Abstract
<p><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif"><strong><span style="font-size:10.0pt">Introduction:</span></strong><span style="font-size:10.0pt"> Anatomical and function parameters can be obtained by cardiovascular magnetic resonance (CMR), by automatic processing of imaging. Artificial intelligence (AI) utilization in analyzing automatic parameters in CMR for left atrial longitudinal shortening enhances the precision, speed, and depth of assessment. This technology offers immense potential in improving the diagnosis, treatment planning, and research endeavors related to left atrial function and associated cardiovascular conditions.</span></span></span></p> <p><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif"><strong><span style="font-size:10.0pt">Purpose:</span></strong><span style="font-size:10.0pt"> This study aims to determine if there is a relationship between the measurement of longitudinal left atrial shortening and other functional parameters in CMR within a clinical setting.</span></span></span></p> <p><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif"><strong><span style="font-size:10.0pt">Methods:</span></strong><span style="font-size:10.0pt"> We retrospectively analyzed a population of patients submitted to CMR and divided them into three groups: those without structural disease, those with dilated cardiomyopathy (DCM) and those with hypertrophic cardiomyopathy (HCM). We documented demographic factors, left atrial ejection fraction (LAEF), and the longitudinal LA shortening obtained through AI in CMR for all groups. We then performed univariate analysis by Pearson correlation to establish the relationship between variables.</span></span></span></p> <p><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif"><strong><span style="font-size:10.0pt">Results:</span></strong><span style="font-size:10.0pt"> Out of 103 patients, 22,3% (n=23) had no structural disease, considered the control group, 37,9% (n=39) had HCM and 39.8% (n=41) had DCM. 59,2% were male, with mean age of 55</span><span style="font-size:10.0pt">±</span><span style="font-size:10.0pt">16 years, with no differences between groups. When comparing the control and HCM groups, these patients had significantly lower LAEF (64,8% vs 46,5%, p>0,001) and also lower absolute values of longitudinal LA shortening (-41,1% vs -17,3%, p<0,001). Similar results were verified between the control and DCM group – they had significantly lower LAEF (64,84% vs 47,5%, p=0,001) and longitudinal LA shortening (-41,1% vs -22,1%, p=0,009). Overall, there is a strong positive correlation (r=0,774, p<0,001) between longitudinal LA shortening and the LAEF. A moderate inverse correlation is also proven between the longitudinal LA shortening and left atrial volume (r=-0,443, p<0,001)</span></span></span></p> <p><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif"><strong><span style="font-size:10.0pt">Conclusions:</span></strong><span style="font-size:10.0pt"> There is a strong positive correlation between longitudinal LA shortening and the LAEF in patients with cardiomyopathies, and in turn, an inverse correlation between longitudinal shortening and atrial volume. This AI generated parameter could be helpful in diagnosing atrial disfunction and possibly contribute to the prediction of patients at a higher risk of developing supraventricular arrythmias such as atrial fibrillation.</span></span></span></p>
Slides
Our mission: To reduce the burden of cardiovascular disease
Visit our site