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A new imaging method for the detection of breast cancer, which
may ultimately reduce the number of breast biopsies, is being
developed at Ohio State University.
The imaging
involves computerized analysis of magnetic resonance images (MRIs)
of breasts to detect blurred regions that may correspond to microcalcifications
that are sometimes indicators of cancer.
Researchers
found that this new technology was nearly 100 percent accurate
in detecting blurred regions in breast MRIs, according to the
study published in Journal of Magnetic Resonance Imaging.
Some calcifications are a sign of cancer.
Researchers
are currently studying how different types of breast calcifications
would distinctively blur a breast image. "Once we have a vocabulary
of blurred signatures for different types of structures in different
orientations and locations in the breast, we can link them to
the probability of cancer in each of those regions," said Bradley
Clymer, associate professor of electrical engineering and researcher
on the project.
The new technology
will not be ready for clinical use for several years, according
to the researchers.
Other
Sources: Ohio StateUniversity
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