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Husband-wife team set out to improve breast cancer exams

One in eight women in the United States will develop breast cancer over the course of her lifetime.

Lorraine G. Olson, professor of mechanical engineering at the Rose-Hulman Institute of Technology in Terre Haute, Indiana, was diagnosed in 2005 at the age of 45. Fortunately, her breast cancer was caught early from a routine mammogram, but like many women, she was prodded by her physician to do the exam.

"To be honest, I put off my mammogram for months before my primary care physician made an appointment for me," Olson said. "The standard mammogram hurts a fair amount and I didn't think I'd have a problem since I was pretty young."

Mammograms involve placing one breast at a time between two plates that compress and spread the breast tissue, which causes discomfort for most women.

As fate may have it, Olson's husband, Robert Throne, was diagnosed with prostate cancer in 2005 a few months after Olson's diagnosis. Throne is the head of the Department of Electrical and Computer Engineering at Rose-Hulman.

Few cancer survivors are in the position to change the way cancer is diagnosed, but Olson and Throne are doing just that for breast cancer. Together, they have created math models to improve early detection efforts. The research could be instrumental in the development of a new robotic device that will mimic manual breast palpations, enabling doctors to record accurate data about the underlying tissue.

"The device won't replace mammography," Olson said, but the less invasive method could be an affordable, effective tool. For nearly six years, this has been the focal point of the husband-wife research team.

"Cancerous tissues are as much as ten times stiffer than healthy tissues," Olson said. "Manual breast exams are looking at tissue stiffness, but, currently, there isn't a good way to record the results."

To better understand the concept of stiffness, Olson compares it with cheese. A three

Contact: Faith Singer-Villalobos
University of Texas at Austin, Texas Advanced Computing Center

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Husband-wife team set out to improve breast cancer exams
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