Newswise, November 7, 2016 — Using specialized CT scans of a
healthy heart and one with heart disease, a team of Johns Hopkins cardiologists
and biomedical engineers say they've created computer models of the
"shape" of blood flow through the heart's upper left chamber that
someday may help predict stroke risk.
Specifically, their computer visualizations found that blood
in the diseased heart failed to flow in corkscrewlike "eddies" that
most effectively moved blood out of the left atrium in the healthy heart and
"showed us exactly how this motion would increase the risk of developing a
blood clot," says Hiroshi Ashikaga, M.D., Ph.D., assistant professor of
medicine and member of the Heart and Vascular Institute at the Johns Hopkins
University School of Medicine.
The researchers say the same fluid motion analysis used in
their two-heart proof-of-concept study may one day offer an accurate way to
predict stroke risk in people with heart disease marked by enlargement and
weakness of the cardiac muscle.
A description of the study and its results was published in
the November print issue of Annals of Biomedical Engineering.
"By looking at blood flow through the atrium, we think we
can accurately assess stroke risk better than such risk factors as heart size
and pumping strength," says Ashikaga.
"Our study fills in a missing diagnostic link between
heart function and fluid motion in our understanding of how each can affect
stroke risk."
Before this study, Ashikaga notes, researchers knew that
enlargement of the heart, particularly the left upper chamber, was linked to
increased stroke risk, particularly in people with atrial fibrillation, an
irregular and often very rapid heart rate.
Heart disease experts estimate that more than 1.6 million
Americans each year are diagnosed with symptoms of atrial fibrillation that put
them at risk for strokes caused by blood that pools in the heart and forms a
clot, then travels to the brain.
The new study, Ashikaga says, sheds significant light on just
how an enlarged and "floppy" atrium led to blood clot formation.
To collect the data needed to create the blood flow models,
the Johns Hopkins team recruited two patients with a history of atrial
fibrillation -- a 58-year-old woman with a healthy heart and a 68-year-old man
with an enlarged heart. Each underwent a CT scan of their heart.
Using the images, the researchers then computed the movement
of blood flow as it entered the left atrium from the pulmonary veins, then
passed through a valve into the left lower chamber, or ventricle.
Finally, they fashioned a video representation of the fluid
motion of the blood.
In visualizing the healthy heart, the researchers saw that the
blood flow formed into tight, corkscrewlike motions that circled around into
doughnut formations, known as vortexes.
The researchers say the vortexes helped move the blood
efficiently through the atrium quicker and with less contact with the atrium's
surface tissue. See blood flow modelled in a healthy
heart here.
The diseased heart they chose to examine was enlarged due to
overuse, muscle fatigue and scarring, all of which can promote atrial
fibrillation.
In the enlarged heart, the researchers noticed that at the top
of the atrium, the blood never fully forms the corkscrews that loop around into
vortexes.
Instead, by the time the blood reaches the bottom of the
atrium, it seems to be falling in "sheets" that coat the surface of
the heart. See blood flow through a diseased
heart here.
"As the blood comes in contact with the atrium's surface,
it slows down due to shearing forces similar to friction, and this appears to
prevent the blood from exiting the chamber as smoothly as it might," says
Ashikaga.
"The slower the blood moves and the more contact it has
with the atrium, the more risk there is for a clot to form."
Ashikaga says his team is currently conducting a larger
long-term study looking at the blood flow of many more people with normal and
ailing hearts, and monitoring the incidence of stroke and other signs of blood
clots over time.
He also hopes to develop the CT scan and computer analysis
into a tool to predict stroke risk.
According to the Centers for Disease Control and Prevention,
an estimated 3 million to 6 million people have atrial fibrillation and nearly
800,000 people have strokes each year in the United States.
The most common symptom of stroke is numbness or weakness on
one side of the body. Physicians use CT scans of the brain, blood tests, EKGs,
MRI scans or other imaging test to determine if a person has suffered from a
stroke. Strokes may be treated with clot-busting drugs, blood thinners and
sometimes surgery to remove the clot.
No comments:
Post a Comment