On
June 4th, 2009,
Faculty of Science held
a press conference to showcase
the research project entitled,
“Mathematical modeling of
blood flow through coronary
bypass grafts” by Assoc.
Prof. Dr. Benchawan Wiwatanapataphee.
“We
used mathematical models
and analytical methods to
compare blood circulation,
pressure
and shear thinning, and
yield stress between
atherosclerotic patient
and coronary bypass graft
patients, considering cardiac
contraction. Using
CT scan, we created three-dimension
model. This model will assist
surgeon in selecting the
appropriate coronary bypass
method,” says Dr. Benchawan.
This
research project receives
1.3 million baht in fund
from Mahidol University
under research fund from
fiscal budget year 2008-2009.
Dr. Benchawan collaborated
with Prof. E
Ming Tung, Department
of Physics, and Asst. Prof.Thanongchai
Siriapisit Department of
Radiology, Faculty of Medicine,
Siriraj Hospital to carry
out the research. Currently,
the research project aims
to reduce the amount of
time it takes to produce
coronary artery model. Patent
is also on the way.
“Coronary
artery bypass is a surgical
procedure to change the
coronary artery or alter
the path by using arteries
or veins from elsewhere
in the patient's body and
grafted to the coronary
arteries. This is to improve
the atherosclerotic condition.
The internal thoracic arteries,
radial arteries and saphenous
veins are commonly used
in grafting,” Asst. Prof.Thanongchai
Siriapisit added.
Previous
bypass procedure required
surgical experience. Prediction
of outcome was not possible.
Thus, surgeon tends to graft
as many as possible and
at the easiest location
possible, which may not
be the best location. Subsequent
surgery, at times, is necessary.
This
study will provide surgeon
with blood flow model, which
allows for preliminary bypass
result screening prior to
actual operation. The model
will evaluate whether the
graft will provide sufficient
amount of blood to the cardiac
muscle or not. The chance
of patient requiring subsequent
surgery will be reduced.
It is expected that within
5-10 years, this model can
be implemented in patients.
Post
Date : July 10, 2009
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