1. Benefit of Four-Dimensional Computed Tomography Derived Ejection Fraction of the Left Atrial Appendage to Predict Thromboembolic Risk in the Patients with Valvular Heart Disease
- Author
-
Namsik Chung, In Jeong Cho, In-Cheol Kim, Geu Ru Hong, Young Jin Kim, Byoung Wook Choi, Ji Hoe Heo, Hyo Suk Nam, Chi Young Shim, and Hyuk Jae Chang
- Subjects
medicine.medical_specialty ,Atrial Appendage ,030204 cardiovascular system & hematology ,Atrial appendage ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,Internal Medicine ,medicine ,030212 general & internal medicine ,Thrombus ,Stroke ,Computed tomography ,Appendage ,Ejection fraction ,Four-Dimensional Computed Tomography ,business.industry ,valvular heart disease ,Area under the curve ,medicine.disease ,Cardiology ,cardiovascular system ,Original Article ,Cardiology and Cardiovascular Medicine ,business - Abstract
BACKGROUND AND OBJECTIVES Decreased left atrial appendage (LAA) emptying velocity in transesophageal echocardiography (TEE) is related with higher incidence of thrombus and increased risk of stroke. Patients with valve disease are at higher risk of thrombus formation before and after surgery. The aim of this study was to investigate the role of 4-dimensional cardiac computed tomography (4DCT) to predict the risk of thrombus formation. METHODS Between March 2010 to March 2015, total of 62 patients (mean 60±15 years old, male: 53.2%) who underwent 4DCT and TEE for cardiac valve evaluation before surgery were retrospectively included in the current study. Fractional area change in TEE view and emptying velocity at left atrial appendage in TEE view (VeTEE) were measured. Ejection fraction (EF) of left atrial appendage in computed tomography (EFCT) was calculated by 4DCT with full volume analysis. The best cut-off value of EFCT predicting presence of spontaneous echo contrast (SEC) or thrombus was evaluated, and correlation between the parameters were also estimated. RESULTS SEC or thrombus was observed in 45.2%. EFCT and VeTEE were significantly correlated (r=0.452, p
- Published
- 2018