Can Left Atrial Strain and Strain Rate Imaging Be Used to Assess Left Atrial Appendage Function

Cardiology ◽  
2012 ◽  
Vol 121 (4) ◽  
pp. 255-260 ◽  
Author(s):  
Sakir Arslan ◽  
Ziya Simsek ◽  
Fuat Gundogdu ◽  
Enbiya Aksakal ◽  
Mehmet Emin Kalkan ◽  
...  
2007 ◽  
Vol 24 (8) ◽  
pp. 823-829 ◽  
Author(s):  
Serdar Sevimli ◽  
Fuat Gundogdu ◽  
Sakir Arslan ◽  
Enbiya Aksakal ◽  
Hanefi Yekta Gurlertop ◽  
...  

2015 ◽  
pp. 539-548 ◽  
Author(s):  
Andrei Dumitru Margulescu ◽  
Emma Rees ◽  
Rose-Marie Coulson ◽  
Aled D. Rees ◽  
Dragos Vinereanu ◽  
...  

2013 ◽  
Vol 34 (suppl 1) ◽  
pp. 2024-2024 ◽  
Author(s):  
K. Kurosawa ◽  
K. Negishi ◽  
R. Tateno ◽  
K. Masuda ◽  
M. Obokata ◽  
...  

2010 ◽  
Vol 55 (10) ◽  
pp. A93.E879
Author(s):  
Jhih-Yuan Shih ◽  
Wei-Chuan Tsai ◽  
Yao-Yi Huang ◽  
Yen-Wen Liu ◽  
Chih-Chan Lin ◽  
...  

2020 ◽  
Vol 2020 ◽  
pp. 1-8 ◽  
Author(s):  
Yu Wang ◽  
Mingqi Li ◽  
Lishan Zhong ◽  
Siqi Ren ◽  
Hezhi Li ◽  
...  

Left atrial appendage (LAA) dysfunction identified by transesophageal echocardiography (TEE) is a powerful predictor of stroke in patients with atrial fibrillation (AF). The aim of our study is to assess if there is a correlation between the left atrial (LA) functional parameter and LAA dysfunction in the AF patients. This cross-sectional study included a total of 249 Chinese AF patients who did not have cardiac valvular diseases and were undergoing cardiac ablation. TEE was performed in all the patients who were categorized into two groups according to their left atrial appendage (LAA) function. A total of 120 of the 249 AF patients had LAA dysfunction. Univariate and multivariate logistic regression was conducted to assess the independent factors that correlated with the LAA dysfunction. Different predictive models for the LAA dysfunction were compared with the receiver operating characteristic (ROC) curve. The final ROC curve on the development and validation datasets was drawn based on the calculation of each area under the curves (AUC). Univariate and multivariate analysis showed that the peak left atrial strain (PLAS) was the most significant factor that correlated with the LAA dysfunction. PLAS did not show inferiority amongst all the models and revealed strong discrimination ability on both the development and validation datasets with AUC 0.818 and 0.817. Our study showed that a decrease in PLAS is independently associated with LAA dysfunction in the AF patients.


Circulation ◽  
2008 ◽  
Vol 118 (suppl_18) ◽  
Author(s):  
Suman S Kuppahally ◽  
Robert S Oakes ◽  
Eric N Fish ◽  
Eugene Kholmovski ◽  
Sathya Vijayakumar ◽  
...  

Introduction: The extent of left atrial (LA) wall fibrosis detected by delayed enhancement (DE)-cardiac MRI prior to catheter ablation of atrial fibrillation (AF) appears to predict procedural success. However, it is currently unknown how the degree of fibrosis affects atrial mechanical function. Methods: Prior to catheter ablation of AF, 31 patients underwent DE-CMRI and 2-dimensional transthoracic echocardiography. 3D segmentation of LA was performed and the degree of fibrosis was determined using a semi-automated quantification algorithm. Longitudinal mid-septal and mid-lateral LA wall velocity, strain and strain rate were measured during ventricular systole from the apical 4-chamber view by velocity vector imaging. Results : There was greater percent of fibrosis as LA maximum (R = 0.4, p = 0.05) and minimum (R=0.52, p = 0.008) volumes increased. Figure shows examples of DE-CMRI and strain curves (C) for two patients: Patient 1(A) with mild fibrosis and patient 2 (B) with extensive fibrosis. Patient 1 shows much larger strain than patient 2. Larger LA volumes correlated inversely with maximal LA mid-lateral systolic wall strain (p < 0.005). The percent fibrosis also correlated inversely with maximal LA mid-lateral systolic wall strain (R=0.56, p < 0.005) and the systolic strain rate (R = 0.58, p = 0.002). Conclusion: LA strain and strain rate can be assessed using standard echocardiographic gray scale images. LA strain is related to both atrial volumes and fibrosis, which are markers of atrial disease progression. This relationship may represent changes in the properties of LA substrate. These novel imaging approaches may be helpful in predicting outcomes in patients with AF.


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