Early
Warning System for
Alzheimer's in the Works
NEW YORK (Reuters Health) - Someday, a yearly brain scan might
be as routine for some people as a blood pressure check.
An Ivy League research group is working on a computerized method
for interpreting brain MRI scans, which will look for changes
in the shape and size of certain brain regions. The researchers
hope the technique will make it simpler and cheaper for physicians
to make an early diagnosis of neurodegenerative conditions such
as Alzheimer's disease, Huntington's disease and schizophrenia.
MRI produces a very detailed picture of structures inside the
body. Even a highly trained specialist can require a week to analyze
an MRI for brain changes that indicate Alzheimer's or similar
diseases, and to distinguish them from the changes that accompany
normal aging.
To speed things up, a team led by Dr. Anders Dale, a radiologist
at Harvard Medical School in Massachusetts, is creating computerized
``atlases'' that show the position, shape and size of brain structures
in healthy and diseased brains. With a single computer workstation,
these atlases can be compared with a brain MRI in about 30 minutes.
Each of 37 different brain regions is labeled and evaluated to
determine whether it is normal.
As a first step, the researchers have shown that their system
is able to distinguish people with Alzheimer's disease from healthy
people. In 17 patients known to have Alzheimer's, three regions
of the brain were smaller than in 25 healthy people, reflecting
the degeneration that is characteristic of the disease.
These regions were the hippocampus, which is involved in learning
and memory; the amygdala, which is involved in expression of emotions;
and the thalamus, which receives almost all of the body's sensory
information.
In addition, the lateral ventricle, one of the interconnecting
cavities in the brain, was larger in Alzheimer's patients than
in healthy people. All of these differences have been reported
before, but ``no prior study has measured all of these structures
in the same participants,'' the researchers explain in the January
31st issue of the journal Neuron.
They also studied 92 people who were suspected of having Alzheimer's
at the time their scans were made. The automated system correctly
distinguished between the 21 people who went on to be formally
diagnosed with Alzheimer's over the next 3 years and the 71 people
who did not develop Alzheimer's. The brain regions that differed
in size between these two groups were the hippocampus, the amygdala
and several ventricles.
Much more research is needed, Dale's group cautions, before the
automated system for interpreting brain scans can be used to determine
whether someone has a brain disease, or what stage of the disease
the person is in.
For one thing, the scientists point out, there are probably many
differences between individuals in terms of brain anatomy and
how diseases affect the brain. Also, their study of Alzheimer's
patients involved only one scan per person. Long-term studies
are needed to track degenerative changes in each individual.
Still, the researchers are hopeful that ultimately, their new
system ``may provide a more accurate and sensitive tool for early
diagnosis of brain disorders.''
SOURCE: Neuron 2002;33:341-355.
Reference
Source 89
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