CT Coronary Angiography and Computational Fluid Dynamics

Seoul National University

Status: Completed

Conditions: Coronary Artery Disease

Treatments: Device: CT coronary angiography and computational fluid dynamics

Study type: Interventional

Funder types: Other

Identifiers

NCT01189331

H-1007-193-325

Details and patient eligibility

About

Angiographically obtained fractional flow reserve(FFR) could provide functional and clinical information about stenotic lesion, but the invasiveness and measuring difficulty of FFR make it unfamiliar to perform. CT coronary angiography is non-invasive tool to evaluate lesion severity and lately developing computational fluid dynamics could provide functional information. The investigators build a patient specific model of computational fluid dynamics by CT coronary angiography and evaluate the functional significance by measuring fractional flow reserve via CT coronary angiography and computational fluid dynamics, and investigate its long-term prognostic implications.

Enrollment: 103 patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• Significant stenosis at CT angiography
• Normal ejection fraction on echocardiography
• Informed consented patient

Exclusion criteria

• total occlusion and collateral flow to target vessel
• AV conduction abnormality
• Left ventricular hypertrophy
• significant valvular heart or primary myocardial disease

Trial design

Primary purpose: Diagnostic

Allocation: N/A

Interventional model: Single Group Assignment

Masking: Single Blind

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103 participants in 1 patient group

CT and FFR

No Intervention group

Treatment:

Device: CT coronary angiography and computational fluid dynamics