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Virtual Coronary Intervention and Non-invasive Fractional Flow Reserve (FFR)

This study has been completed.
Information provided by (Responsible Party):
Bon-Kwon Koo, Seoul National University Hospital Identifier:
First received: November 20, 2011
Last updated: November 22, 2011
Last verified: November 2011
The investigators examined the feasibility of treatment planning using virtual coronary revascularization and fractional flow reserve (FFR) CT before the invasive procedures.

Coronary Artery Disease

Study Type: Observational
Study Design: Observational Model: Case-Only
Time Perspective: Retrospective

Further study details as provided by Bon-Kwon Koo, Seoul National University Hospital:

Enrollment: 20
Study Start Date: October 2011
Study Completion Date: November 2011
Primary Completion Date: November 2011 (Final data collection date for primary outcome measure)

Ages Eligible for Study:   18 Years and older   (Adult, Senior)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   Yes
Sampling Method:   Non-Probability Sample
Study Population
From the DISCOVER-FLOW study 20 patients with available post-intervention FFR were included in this study.

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
  Contacts and Locations
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Please refer to this study by its identifier: NCT01478100

Korea, Republic of
Seoul National University Hospital
Seoul, Korea, Republic of
Sponsors and Collaborators
Seoul National University Hospital
  More Information

Publications automatically indexed to this study by Identifier (NCT Number):
Responsible Party: Bon-Kwon Koo, Associate Professor of Medicine, Seoul National University Hospital Identifier: NCT01478100     History of Changes
Other Study ID Numbers: H-1109-106-379
Study First Received: November 20, 2011
Last Updated: November 22, 2011

Keywords provided by Bon-Kwon Koo, Seoul National University Hospital:
Coronary artery disease
Computational flow dynamics

Additional relevant MeSH terms:
Coronary Artery Disease
Myocardial Ischemia
Coronary Disease
Heart Diseases
Cardiovascular Diseases
Arterial Occlusive Diseases
Vascular Diseases processed this record on September 19, 2017