16 November 2007—Digital facial models created from
three-dimensional scans could give doctors a new
diagnostic tool for identifying children with fetal
alcohol spectrum disorders, a broad range of effects
resulting from alcohol exposure in the womb. Although
such children often have symptoms common to other
developmental disorders, they require different
interventions, and better diagnostics could help more
kids get the right treatment.
Unlike other disorders such as Down syndrome,
children with fetal alcohol syndrome—the severe form of
the disorder that affects two in 1000 children in the
United States but more than 20 times that in some other
countries—lack genetic or biochemical markers of their
condition. Affected children are often hyperactive,
learn slowly, and have difficulty with social
situations. But none of these symptoms is unique to
prenatal alcohol exposure.
To make a diagnosis, experts called dysmorphologists
rely on identifying specific facial features, growth
deficits, and cognitive difficulties. Just as behavioral
indicators are not unique to fetal alcohol syndrome,
dysmorphologists can’t use any single feature to
reliably assess a child’s face. Instead, they look for a
signature combination of features that include small eye
openings, a thin upper lip, and a smooth area between
the lips and nose that, together, indicate an
abnormality.
Unfortunately, this approach doesn’t work for all
patients. The severity of the facial indicators varies,
depending on both the amount and timing of prenatal
alcohol exposure and the patient’s natural
susceptibility, which means that less severe cases are
difficult to detect. In addition, such facial
characteristics of the exposure differ among
ethnicities, which means the disorder can be
underdiagnosed in some populations.
“There’s really a need to make the diagnosis more
objectified,” says Dr. Elizabeth Moore, a research
scientist at St. Vincent Hospital in Indianapolis and
lead author of the study published in the October issue
of Alcoholism:
Clinical & Experimental Research. In
search of a more universal diagnostic method, a
consortium of doctors in the United States, Finland, and
South Africa has started using measurements from
three-dimensional laser scans.
Illustration: Konica Minolta
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FULL VIEW: A 3D image made using a Konica Minolta laser
scanner. Doctors recently found a better way of
diagnosing fetal alcohol syndrome using such scanners.
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Moore and her collaborators used a commercial 3-D
laser scanner to take six images of each child, two from
the front, and two from each side. The scanner captures
depth data accurate to less than a millimeter by
scanning a low-intensity, “eye safe” laser line over the
face while simultaneously capturing a low-resolution
color picture. A camera in the scanner measures the time
it takes the laser pulses to reflect back from the face.
By combining this information with the known distance
between the laser source and the camera, the software
can calculate the 3-D coordinates for each point on the
face and then overlay the color data. Moore and her team
stitched three of these 3-D perspectives together to
form one complete model. Collecting each image required
less than a second, according to Moore, and the device
was portable enough to set up in remote locations like a
South African church.
Creating digital models provided the researchers with
the ability to quantitatively measure and compare more
facial features than a dysmorphologist typically looks
for, without lengthening the patient’s exam. Moore
examined each model and marked the location of 20 facial
landmarks, such as the corners of the eyes. Customized
software then measured 16 different distances between
the various landmarks. In comparing measurements between
children diagnosed with fetal alcohol syndrome and those
in a control group, Moore and her team found that the
best indicators of alcohol exposure varied by ethnicity.
For example, while ear length served as a good
discriminating characteristic for the South African
population, it was not statistically significant for the
group of African Americans.
Within each of four different ethnic groups in the
276-patient study, more than three-quarters of the
diagnoses based on the digital measurements matched
those of Dr. Kenneth Lyons Jones, one of the doctors who
first identified fetal alcohol syndrome. According to
Moore, the results demonstrate that the technique works
for severe cases within different ethnicities. Now that
they have proof of concept, she and her consortium hope
to expand their studies to more age groups and
ethnicities, as well as less severe cases.
Understanding how fetal alcohol syndrome features
vary among ethnicities will help identify the disorder
in countries where it’s more common and where there’s
less access to experts, says Moore. Rates are high in
South Africa, for instance, where more than 50 children
per 1000 live births are affected.
“One possibility is telemedicine,” says Edward Riley,
an expert in treating children with fetal alcohol
syndrome at San Diego State University, “where 3-D
pictures can be sent to a diagnostic center anywhere in
the world.”
Moore’s team looks to use the scanner on infants
next, an important step in catching the disorder early.
Most children aren’t examined for fetal alcohol syndrome
until they exhibit behavioral and developmental problems
in school at ages five to seven. “The earlier you can
intervene, the less the child falls behind, the better
the outcome of the kid,” says Riley.
“This is a technology that has demonstrated some
usefulness and shows a lot more potential,” he says.