Clinical Research Directory

Digital Twin and Ml-basEd MOdel of TEVAR Interventions

The study aims to collect clinical data and pseudonymized CT images of patients undergoing TEVAR in order to create an anatomical digital twin capable of simulating procedural outcomes and training machine learning (ML) algorithms. This approach will support predictive models that may assist physicians in selecting the optimal medical device, improving pre-TEVAR planning, and predicting post-TEVAR complications.

Assess Abdominal Aortic Diameter in Females

Female subjects aged 50 years or older will be enrolled. Biometric data (measurements) of the aorta and iliac vessels, demographic data, pathophysiological history, and data relating to menarche, pregnancy/infertility, and menopause will be collected. The aortic diameter measurement protocol will follow standard clinical practice. Measurements will be performed by placing the probe on an axis perpendicular to the aortic axis, manually positioning the calipers in the antero-posterior and lateral-lateral directions, recording both the outer-to-outer (OTO) and inner-to-inner (ITI) diameters. Additionally, the presence of thrombus and/or calcifications and the outer-to-outer (OTO) measurement of the common iliac arteries will be detected. Primary objective: Definition of the ultrasound diameter of the abdominal aorta in the female population. Secondary objective: Identification of any sex-specific risk factors associated with abdominal aortic disease (aneurysm) in the female population. Secondary objective: Identification of any sex-specific risk factors associated with abdominal aortic disease (atherosclerosis) in the female population.

Asan Aorta and Peripheral Registry

The purpose of this study is to evaluate the clinical results of patients who received revascularization of the aorta and peripheral artery at Asan Medical Center.