DocumentCode
2036580
Title
Quantitative gated intravascular ultrasound largely reduces the population size for atherosclerosis progression-regression trials: A computer simulation study
Author
De Winter, SA ; Hamers, R. ; Roelandt, JRTC ; Serruys, PWJC ; Bruining, N.
Author_Institution
Erasmus MC Thoraxcenter, Rotterdam, Netherlands
fYear
2009
fDate
13-16 Sept. 2009
Firstpage
829
Lastpage
832
Abstract
During imaging of coronary vessels with ultrasound (ICUS), cardiac cycle-dependent motion of the catheter introduces artifacts resulting in possible measurement inaccuracies. Although this problem can be avoided by ECGor image-based gating, still most analyses are performed non-gated in longitudinal studies investigating the effects of new interventional methods on coronary atherosclerosis progression-regression. To investigate the impact of these motion-induced artifacts on the possible outcome of these studies, we developed a computer simulation model. In the model a clinical trial (n = 400) was simulated where 200 patients received a drug (estimated 3%plaque reduction) and 200 a placebo. Using gating the 3% plaque reduction could be detected in 26 patients while for non-gated analyses 254 patients were necessary, indicating that gating can reduce population sizes significantly.
Keywords
biomedical ultrasonics; blood vessels; catheters; diseases; image motion analysis; medical image processing; ultrasonic imaging; ECG; artifacts; atherosclerosis progression-regression trials; cardiac cycle-dependent motion; catheter; computer simulation model; coronary vessels; drug; image-based gating; interventional methods; placebo; population size; quantitative gated intravascular ultrasound; Atherosclerosis; Catheters; Clinical trials; Computational modeling; Computer simulation; Image analysis; Motion measurement; Performance analysis; Ultrasonic imaging; Ultrasonic variables measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Computers in Cardiology, 2009
Conference_Location
Park City, UT
ISSN
0276-6547
Print_ISBN
978-1-4244-7281-9
Electronic_ISBN
0276-6547
Type
conf
Filename
5445256
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