Better screening tools for all
cancers would be great, but one type in particular where it could have a
huge impact is pancreatic cancer. The symptoms of this devastating
disease don’t reveal themselves until it’s well advanced, and it carries
a five-year survival rate of just 5-9%.
Now,
scientists have developed an app that could allow people to easily
detect pancreatic cancer by simply scanning the white part of the eye
for one of the disease’s early tell-tale signs.
One of the early signs of
pancreatic cancer is jaundice, which is characterized by yellowing of
the skin and eyes as a result of the buildup of a substance in the blood
known as bilirubin. However, the trouble with bilirubin buildup, other
than the fact that it can be an indication of several diseases, is that
it can only be detected by blood tests that doctors won’t administer
unless there is already cause for concern.
We have already recently seen
exciting progress towards a urine test for pancreatic cancer, but this
new app would require no bodily fluids at all.
Dubbed Biliscreen, this app uses
a smartphone camera along with computer vision algorithms and machine
learning to detect increased levels of bilirubin in the white part of
the eye, known as the sclera. In adults, the sclera is more sensitive
than the skin to elevated bilirubin levels and the team hopes that Biliscreen will be able to detect these
changes before they become visible to naked eye, when it’s already too
late.
The senior author
of the study, states that “the eyes are a really interesting gateway
into the body – tears can tell you how much glucose you have, sclera can
tell you how much bilirubin is in your blood. Our question was: Could
we capture some of these changes that might lead to earlier detection
with a selfie?”
The technology was put to the
test in a clinical trial that involved 70 people. The app was used in
combination with either a special box made to control light exposure or
paper glasses to calibrate color. The team found that it was able to
detect causes for concern 89.7% of the time.
It works by using the camera and
flash to capture an image of the eye, and then computer vision software
to isolate the sclera. The app then assesses the wavelengths of light
that are being reflected and absorbed by the sclera, calculating color
information, and then uses machine learning algorithms to correlate that
with bilirubin levels.
The co-author of the
study,
explains that “this relatively small initial study shows the technology
has promise. Pancreatic cancer is a terrible disease with no effective
screening right now. Our goal is to have more people who are unfortunate
enough to get pancreatic cancer to be fortunate enough to catch it in
time to have surgery that gives them a better chance of survival.”
Now, the team is looking to
build on these exciting early results by testing the app on larger
groups of people at risk of jaundice and other related conditions. They
are also going to try to make the technology more convenient to use, by
possibly removing the need for the box or glasses.
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Labels: app, bilirubin, detect early, jaundice, Pancreatic Cancer, sclera, skin, smartphone camera, white part of the eye, yellowing