Description Module
The Description Module contains narrative descriptions of the clinical trial, including a brief summary and detailed description. These descriptions provide important information about the study's purpose, methodology, and key details in language accessible to both researchers and the general public.
Description Module path is as follows:
Study -> Protocol Section -> Description Module
Description Module
Ignite Creation Date:
2025-12-24 @ 6:31 PM
Ignite Modification Date:
2025-12-24 @ 6:31 PM
NCT ID:
NCT02809157
Brief Summary:
Coronary artery disease (CAD) is a very common cause of heart failure affecting millions of people worldwide, which is caused by build-up of plaque inside arteries of the heart. Build-up of plaque eventually impacts the blood supply to the heart. In medicine, techniques (invasive or non-invasive) such as coronary angiography, intravascular ultrasound, computed tomography, magnetic resonance imaging, positron emission tomography and transthoracic echocardiography can be used to diagnose CAD.
The investigators aim to study Coronary Artery Disease significance with the combination of computed tomography angiography (CTA), and computational fluid dynamics (CFD) methods. CTA is a non-invasive technique to visualize arterial vessels, which uses computer-processed x-rays. Computational Fluid Dynamics employs digital computers and numerical methods to solve complex flow patterns inside arterial vessels. Combining these two methods, the investigators are able to provide detailed blood flow information and mechanical stress distributions on the vessels. This study therefore, aims to propose a non-invasive methodology to assess the significance of CAD.
Detailed Description:
Cardiovascular disease is the leading cause of death in Singapore, and accounts for 31.9% of all deaths in 2010. Coronary vascular dysfunction has been linked to the development of cardiovascular-related events, such as death, myocardial infarction (MI), stroke and unstable angina. Recently, impaired coronary vaso-motion has been suggested as an independent predictor of poor prognosis, which can predict cardiovascular events in patients with epicardial Coronary Artery Disease . Coronary vaso-motion refers to the change in diameter of a coronary vessel in response to vasoactive agent, which is measured via quantitative coronary angiography (QCA). Better coronary vaso-motion response has been associated with improved survival for both obstructive and non-obstructive CAD.
Another widely used invasive clinical imaging technology to assess CAD is intravascular ultrasound (IVUS), which uses ultrasound technology for imaging the endothelium of vessels. Since detailed histological information of plaques on the endothelium of coronary arteries can be provided by IVUS, it is used as gold standard in evaluating progression or regression of plaque.
Although coronary vaso-motion, FFR and IVUS have been shown to improve clinical outcomes and procedural cost-efficiency in terms of guiding percutaneous interventions, they are invasive procedures. Non-invasive option for the diagnosis of myocardial ischemia is required to relief the patients' pain and medical cost due to the invasive cath. This study aims to fill in the gap. The investigators hypothesize that non-invasive FFRCT can be obtained by combining CT images and CFD methods, which can be used to assess the physiologic significance of CAD.
Study:
NCT02809157
Study Brief:
Protocol Section:
NCT02809157