Yoon, Yeoni
Seoul National University · Medicine
About the Lab
Professor Yoon, Yeoni's research lab specializes in cardiovascular imaging and functional assessment, with a focus on left atrial mechanics, cardiac magnetic resonance (CMR), and the application of artificial intelligence in echocardiography. The lab investigates structural and functional remodeling in cardiac conditions such as atrial fibrillation, diabetes, and hypertrophic cardiomyopathy, emphasizing the prognostic value of imaging biomarkers like left atrial stiffness, myocardial fibrosis, and bone mineral density. The team also develops and validates clinical guidelines tailored to the Korean population, particularly for CMR utilization, to enhance diagnostic accuracy and healthcare outcomes.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15Patients with paroxysmal AF have decreased LA reservoir function and increased stiffness, in comparison with that of the control subjects. LA stiffness was significantly related with LA volume indices and reservoir function. LA stiffness can be used for the assessment of LA function in patients with paroxysmal AF.
Artificial intelligence (AI) is evolving in the field of diagnostic medical imaging, including echocardiography. Although the dynamic nature of echocardiography presents challenges beyond those of static images from X-ray, computed tomography, magnetic resonance, and radioisotope imaging, AI has influenced all steps of echocardiography, from image acquisition to automatic measurement and interpretation. Considering that echocardiography often is affected by inter-observer variability and shows a
OBJECTIVE: We investigated whether the evaluation of bone mineral density (BMD) provides independent and incremental prognostic value for predicting atherosclerotic cardiovascular disease (ASCVD) in women. METHODS: A total of 12 681 women aged 50-80 years (mean, 63.0±7.8 years) who underwent dual-energy X-ray absorptiometry were retrospectively analysed. We assessed the hazard ratio (HR) for ASCVD events (ASCVD death, non-fatal myocardial infarction and ischaemic stroke) according to the BMD or
Cardiac magnetic resonance (CMR) imaging is now widely used in several fields of cardiovascular disease assessment due to recent technical developments. CMR can give physicians information that cannot be found with other imaging modalities. However, there is no guideline which is suitable for Korean people for the use of CMR. Therefore, we have prepared a Korean guideline for the appropriate utilization of CMR to guide Korean physicians, imaging specialists, medical associates and patients to im
PURPOSE: To investigate whether the presence of myocardial infarction (MI) detected with late gadolinium-enhanced magnetic resonance (MR) imaging is an independent predictor of major adverse cardiac events (MACEs) in patients with impaired fasting glucose (IFG) and those with overt diabetes mellitus (DM). MATERIALS AND METHODS: Institutional review board approval was obtained for this study, and all subjects provided written informed consent. Late gadolinium-enhanced and cine MR imaging were per
HCM patients showed progressed LA remodeling and dysfunction; the determinant of LA remodeling and dysfunction was LV mass index rather than LV myocardial fibrosis by LGE-magnetic resonance imaging.
Our AI-based approach for automatic LVDF assessment on echocardiography is feasible, potentially enhancing clinical diagnosis and outcome prediction.
We evaluated whether breast arterial calcification (BAC) is associated with the progression of coronary atherosclerosis in asymptomatic women. This retrospective observational cohort study analysed asymptomatic women from the BBC registry. In 126 consecutive women (age, 54.5 ± 7.0 years) who underwent BAC evaluation and repeated coronary computed tomography angiography (CCTA) examinations, the coronary arterial calcification score (CACS) and segment stenosis score (SSS) were evaluated to assess
Research Areas
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