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ECHO ASIA 2023 ECHO ASIA 2023
Room 1 Room 2 Room 3 Room 4 Room 5 Room 6 Room 7 Room 8

Room 4

Oral Abstract (1)
Chairperson: Chan Seok Park / Catholic Univ. // Jung Hyun Choi / Pusan National Univ.
09:00-09:10 Prognosis of patients with moderate aortic stenosis and risk factors for adverse cardiac events Minjung Bak / Sungkyunkwan Univ.
09:10-09:20 Contemporary Management Approaches for Severe Valvular Heart Disease in Korea, focused on mitral valve disease: A Nationwide Hospital-Based Registry Study Hee Jung Lee / Keimyung Univ.
09:20-09:30 Calculation of Regurgitant Volume Using Echo-Doppler Volumetric Method for Accurate Diagnosis of Severe Degenerative Mitral Regurgitation Ga Yun Kim / Ulsan Univ.
09:30-09:40 Characterization of Mitral Annular Calcification Development Risk Factors: A Two-step Process Involving Bone-Mineral Metabolism Kyung An Kim / Catholic Univ.
09:40-09:50 Relative importance of left atrial reservoir strain compared with components of the HFA-PEFF score in patients with sinus rhythm Minkwan Kim / Yonsei Univ.
09:50-10:00 Correlation and Discrepancy between Two-dimensional and Three-dimensional Variables of New Diagnostic Criteria in Quantitative Evaluation of Tricuspid Regurgitation Ha Jeong Lim / Yonsei Univ.
10:00-10:10 Outcomes of Severe Mitral Stenosis with the Revised Severity Criteria: Mitral Valve Replacement versus Percutaneous Mitral Valvuloplasty Dae-Young Kim / Inha Univ.
10:10-10:20 Predicting reduced cardiopulmonary exercise capacity with left atrial strain or coronary flow velocity reserve in patients with chest symptoms and non-obstructive coronary artery So Ree Kim / Korea Univ.
10:20-10:30 Artificial intelligence-enabled electrocardiogram algorithm for simultaneous assessment of left ventricular systolic and diastolic dysfunction Eunjung Lee / Mayo Clinic
Coffee Break
Oral Abstract (2)
Chairperson: Hye Sun Seo / Soonchunhyang Univ. // Sung-A Chang / Sungkyunkwan Univ.
10:40-10:50 Left atrial strain predicts poor exercise capacity in indeterminate diastolic dysfunction Hyejung Choi / Seoul National Univ.
10:50-11:00 Association of Right Ventricular  Pulmonary Arterial Coupling and Progression of Tricuspid Regurgitation in Patients with Non-valvular Atrial Fibrillation Dae-Young Kim / Inha Univ.
11:00-11:10 Delivery Outcomes in Pregnant Women with Valvular Heart Disease: A Single-Center Study Heayoung Shin / Sungkyunkwan Univ.
11:10-11:20 Clinical Implications of Recovery from Constrictive Physiology After Pericardiocentesis in Cancer Patients Nuri Lee / Chonnam National Univ.
11:20-11:30 The association of left atrial strain and with long-term risk of atrial fibrillation in hypertrophic cardiomyopathy Jihoon Kim / Sungkyunkwan Univ.
11:30-11:40 Enhancement of Myocardial Function Assessment in Hypertension Patients through the Integration of Exercise Stress Echocardiography and Pressure-Strain Loop Technique. Qingfeng Zhang / Sichuan Provincial People’s Hosp.
11:40-11:50 Automatic Analysis of Atherosclerotic Aortic Plaques in Patients with Embolic Cerebral Infarction Using Artificial Intelligence Deep Learning Jung Sun Cho / Catholic Univ.
11:50-12:00 [JSE 2023 Young Investigator’s Award Winner] Association between exercise hemodynamics and clinical outcomes in patients with atrial functional mitral regurgitation Yukio Sato / St. Marianna Univ., Japan
12:00-12:10 Assessment of mitral annulus morphometry in severe degenerative mitral regurgitation with different scallop involvement using Three-dimensional transesophageal echocardiography Geqi Ding / Sichuan Provincial People's Hosp.
12:10-12:20 Significance of right ventricular myocardial work for clinical improvement in heart failure with reduced ejection fraction patients after transcatheter edge-to-edge repair Yi Wang / Sichuan Provincial People's Hosp.
총회
Moderated Poster Presentation Session (2)
Chairperson: Eun Joo Cho / Catholic Univ. // Seong H. Kim / Korea Univ.
13:40-13:47 [Withdrawal]
13:47-13:54 Prognostic implications of LV hypertrophy regression and 4-tiered classification after antihypertensive therapy in hypertensive patients with LV hypertrophy Jang Won Lee / Chung-Ang Univ.
13:54-14:01 Long-term prognostic values of exercise stress echocardiography in asymptomatic patients with severe aortic regurgitation and preserved left ventricular systolic function without LV dilatation Onyoo Kim / Sungkyunkwan Univ.
14:01-14:08 Real time three-dimensional transthoracic echocardiographic segmental volume analysis: quantitative and objectivetool for assessing regional wall motion abnormalities in ischemic heart disease Jong Ho Nam / Yeungnam Univ.
14:08-14:15 Contemporary Management Approaches for Severe Valvular Heart Disease in Korea, focused on aortic valve disease: A Nationwide Hospital-Based Registry Study: A National Hospital-Based Registry Study Hyung Yoon Kim / Chonnam National Univ.
14:15-14:22 Left atrial mechanical function and clinical outcomes in patients with mitral annular calcification Kyu Kim / Yonsei Univ.
14:22-14:29 Assessment of left ventricular fluid dynamics by vector flow mapping in patients with transcatheter edge-to-edge mitral valve repair (Mitraclip ) Qinglan Shu / Sichuan Provincial People's Hosp., China
14:29-14:36 Feasibility and Accuracy of a fully automated right ventricular quantification software with three-dimensional echocardiography: comparison with cardiac magnetic resonance Ashfaq Ahmad / Wuhan Union Hosp., Pakistan
14:36-14:43 Echocardiographic Assessment of High-sensitivity CRP as a Reliable Indicator of Pulmonary Artery Hypertension in Systemic Lupus Erythematosus Patient Elaheh Alizargar / Azad Univ., Iran
Coffee Break
KSE-EACVI Joint Session: AI and cardiovascular imaging
Chairperson: Steffen E. Petersen / Barts Heart Center, UK // Jong-Won Ha / Yonsei Univ., Korea
English Session
15:10-15:25 innovation in myocardial function assessment Otto Smiseth / Oslo Univ. Hosp., Norway
15:25-15:40 AI enabled ECG for prediction of LV dysfunction Kyung-Hee Kim / Incheon Sejong Hosp., Korea
15:40-15:55 AI based approach applied to HCM for risk prediction Erwan Donal / Rennes Univ. Hosp., France
15:55-16:10 New insights by machine learning in valve disease Seung-Pyo Lee / Seoul National Univ., Korea
16:10-16:30 Discussion Jah Yeon Choi / Korea Univ.
Jung Sun Cho / Catholic Univ.
Dong-Hyuk Cho / Korea Univ.
KSE 2023 사무국
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