Related Experiment Video
Updated: Oct 1, 2026

Evaluation of a Novel Laser-assisted Coronary Anastomotic Connector - the Trinity Clip - in a Porcine Off-pump Bypass Model
Published on: November 24, 2014
Intraoperative evaluation of coronary anastomosis by transit-time ultrasonic flow measurement
Tetsuro Morota1, Francis G Duhaylongsod, William R Burfeind
1Department of Surgery, Duke University Medical Center, Durham, North Carolina, USA. morotat-sur@h.u-tokyo.ac.jp
Background:
Intraoperative assessment of the anastomosis is important during coronary bypass on a beating heart. The purpose of this study is to predict the quality of anastomosis using transit-time flow measurement and to find out the most accurate indicator.
Methods:
Eight swine underwent internal thoracic-anterior descending coronary artery bypass grafting on a beating heart. Flow measurement and angiography were performed at various degrees of stenosis created on the graft. As flow parameters, total flow, systolic flow, diastolic flow, diastolic/total flow ratio, systolic peak flow, diastolic peak flow, systolic/diastolic peak flow index, and pulsatility index were used. Mixed procedure and probability test (negative means successful anastomosis) were used to analyze the diagnostic ability.
Results:
Diastolic flow, diastolic/total flow ratio, diastolic peak flow, systolic/diastolic peak flow index, and pulsatility index showed significant variance with increased stenosis. Among these measures, diastolic/total flow ratio showed the highest value of area under the curve (0.91) and the highest specificity (82%) at 90% sensitivity with actual value of 42%.
Conclusions:
Diastolic/total flow ratio was the most reliable indicator to predict critical stenosis in coronary artery bypass grafting.
More Related Videos
04:48Noninvasive Determination of Vortex Formation Time Using Transesophageal Echocardiography During Cardiac Surgery
Published on: November 28, 2018
06:39Ultrasound Based Assessment of Coronary Artery Flow and Coronary Flow Reserve Using the Pressure Overload Model in Mice
Published on: April 13, 2015