Geometrical Influences on Atherosclerosis and Blood Flow
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age40-70
SponsorBangladesh University of Engineering and Technology
About this trial
The study investigates the use of advanced imaging techniques and computational methods to identify high-risk plaques in coronary arteries. These plaques are significant because they have the potential to cause acute coronary syndrome (ACS), a condition that includes heart attacks and unstable angina. The research focuses on integrating Coronary Computed Tomography (CCT) with Computational Fluid Dynamics (CFD) to provide detailed insights into plaque characteristics and their hemodynamic environment.
The study's primary aim is to enhance the early detection and characterization of high-risk coronary plaques that could lead to ACS. By combining CCT, a non-invasive imaging technique, with CFD, which stimulates blood flow dynamics, the study seeks to: Identify High-Risk Plaques, Apply CFD to analyze the blood flow around these plaques, Improve Prediction of ACS, Inform Clinical Decision-Making.
Computational fluid dynamics (CFD) analysis of CCT data can also provide a non-invasive hemodynamic assessment to identify high-risk plaques destined to cause acute coronary syndrome. Patients with adverse plaque characteristics like positive remodeling or low-attenuation plaque have a greater risk of future coronary events.
Eligibility criteria
This trial accepts healthy volunteersQualifiers
Adults aged 40-70 years.
Presenting with symptoms of CAD (e.g., chest pain, shortness of breath) or having multiple risk factors (e.g., hypertension, diabetes, smoking).
Able to provide informed consent.
Disqualifiers
Severe renal impairment (due to contrast media risk).
Previous allergic reaction to iodinated contrast media.
Pregnant or lactating women.
Trial population
The study population includes patients diagnosed with atherosclerosis, identified through CT angiography (CTA). High-resolution CT scan data reconstruct patient-specific vascular geometries, focusing on regions of clinical interest, such as arterial bifurcations and stenotic segments. Key parameters include Curvature, Surface Roughness, stenosis severity and bifurcation angles, allowing for a detailed computational fluid dynamics (CFD) analysis of hemodynamic forces contributing to endothelial dysfunction and plaque progression.
Trial design
Design model
Case-control
Time perspective
Prospective
Treatments tested in this trial
Not listed
Trial groups
30 Participants
are grouped into 1 trial groupGroup A: People who have Acute Coronary Syndrome and did a CT angiogram
Trial outcomes
Primary outcomes
1
Geometrical Influences on Atherosclerosis and Blood Flow: A Computational Fluid Dynamics and Experimental Design Approach
The primary outcome of this study is the focus on evaluating the impact of vascular geometry on blood flow patterns and their role in the development of atherosclerosis. Using Computational Fluid Dynamics (CFD) simulations, the study investigates critical hemodynamic factors, such as wall shear stress, pressure gradients, and recirculation zones, which are influenced by variations in vessel geometry. By integrating experimental data with computational models, the study aims to identify specific geometrical features that contribute to plaque formation and progression, ultimately enhancing the understanding of atherosclerosis and guiding targeted interventions.
Time frame
Each patient is monitored for upto 1 year after enrollment to assess plaque changes and hemodynamics via periodic imaging and analysis.Sponsors and contacts
Click on the lead sponsor to view all of their trials.
Bangladesh University of Engineering and Technology
Lead sponsor
National Institute of Cardiovascular Diseases, Bangladesh
Collaborator
Source ClinicalTrials.gov