[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100593150":3},{"organization":4,"armGroups":7,"interventions":10,"overallOfficials":12,"centralContacts":20,"locations":29,"responsibleParty":46,"collaborators":49,"id":52,"slug":53,"hasResults":54,"nctId":55,"briefTitle":56,"officialTitle":57,"acronym":10,"eligibilityCriteria":58,"healthyVolunteers":59,"sex":60,"minAge":61,"maxAge":62,"enrollmentInfo":63,"targetDuration":10,"studyType":66,"phases":10,"briefSummary":67,"conditions":68,"keywords":70,"overallStatus":32,"whyStopped":10,"lastUpdateSubmitDate":75,"lastUpdatePostDateStruct":76,"startDateStruct":79,"completionDateStruct":81,"leadSponsor":83,"locationsCount":84},{"fullName":5,"class":6},"Bangladesh University of Engineering and Technology","OTHER",[8],{"label":9,"type":10,"description":11,"interventionNames":10},"People who have Acute Coronary Syndrome and did a CT angiogram",null,"In observational studies aimed at identifying high-risk plaques using coronary computed tomography (CT) and computational fluid dynamics (CFD), the group or cohort typically consists of people having diagnostic imaging for suspected or established coronary artery disease (CAD). Participants are frequently chosen based on clinical indicators such as chest discomfort, a history of myocardial infarction, or abnormal stress test findings. Cohort characteristics include age, gender, cardiovascular risk factors (such as hypertension, diabetes, hyperlipidaemia, and smoking), and previous CAD therapies. The study will examine plaque features (e.g., low-attenuation plaques, positive remodelling) and hemodynamic parameters generated from CFD (e.g., wall shear stress, pressure gradients) to stratify risk. Detailed demographic, clinical, and imaging data are collected to examine relationships between plaque features and cardiovascular outcomes, ensuring a thorough analysis.",[13,17],{"name":14,"affiliation":15,"role":16},"Muhammad Tarik Arafat, PhD","Department of Biomedical Engineering, Bangladesh University of Engineering and Technology (BUET), Dhaka - 1205","PRINCIPAL_INVESTIGATOR",{"name":18,"affiliation":19,"role":16},"Dr. M G Azam, MBBS, MD, FSCAI","NICVD, Dhaka",[21,25],{"name":14,"role":22,"phone":23,"phoneExt":10,"email":24},"CONTACT","01911764467","tarikarafat@bme.buet.ac.bd",{"name":26,"role":22,"phone":27,"phoneExt":10,"email":28},"Md. Siam Ahmed Nishat, B.Sc. in ENgineering","01623965702","siam.ahmed.bme.buet@gmail.com",[30],{"facility":31,"status":32,"city":33,"state":10,"zip":34,"country":35,"countryCode":36,"cosmosGeoPoint":37,"geoPoint":42,"contacts":43},"National Institute of Cardiovascular Disease (NICVD)","RECRUITING","Dhaka","1207","Bangladesh","BD",{"type":38,"coordinates":39},"Point",[40,41],90.40744,23.7104,{"lat":41,"lon":40},[44],{"name":45,"role":22,"phone":10,"phoneExt":10,"email":10},"Dr. M G Azam, MBBS,MD,FSCAI",{"type":16,"investigatorFullName":47,"investigatorTitle":48,"investigatorAffiliation":5,"oldNameTitle":10,"oldOrganization":10},"Muhammad Tarik Arafat","Professor",[50],{"name":51,"class":6},"National Institute of Cardiovascular Diseases, Bangladesh","100593150","geometrical-influences-on-atherosclerosis-and-blood-flow-100593150",false,"NCT07002697","Geometrical Influences on Atherosclerosis and Blood Flow","High-Risk Plaques Identification Using Coronary Computed Tomography and Computational Fluid Dynamics","Inclusion Criteria:\n\n* Adults aged 40-70 years.\n* Presenting with symptoms of CAD (e.g., chest pain, shortness of breath) or having multiple risk factors (e.g., hypertension, diabetes, smoking).\n* Able to provide informed consent.\n\nExclusion Criteria:\n\n* Severe renal impairment (due to contrast media risk).\n* Previous allergic reaction to iodinated contrast media.\n* Pregnant or lactating women.",true,"ALL","40 Years","70 Years",{"count":64,"type":65},30,"ESTIMATED","OBSERVATIONAL","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.\n\nThe 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.\n\nComputational 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.",[69],"Atherosclerosis and Blood Flow in Coronary Artery",[71,72,73,74],"Computational Fluid Dynamics (CFD)","Design Of Experiment (DOE)","Computed Tomography (CT)","Acute Coronary Syndrome (ACS)","2025-05-25",{"date":77,"type":78},"2025-06-03","ACTUAL",{"date":80,"type":78},"2024-08-10",{"date":82,"type":65},"2026-04-11",{"name":5,"class":6},1]