Ultrasound—a technology that uses sound waves to produce an image—is commonly used to monitor the development of a baby as it grows inside its mother. But ultrasound imaging also can be used to investigate suspicious masses of tissue and nodules that may be cancerous.
Tumors consist not only of cancer cells but also a matrix of small blood vessels, or microvessels, that cannot be seen in the images produced by conventional ultrasound machines. To solve this problem, physician-scientist Azra Alizad, M.D., and biomedical engineering scientist Mostafa Fatemi, Ph.D., teamed up at Mayo Clinic to design and study a tool that may improve the resolution of ultrasound imaging… Continue reading.
Researchers have shown that an automated cancer diagnostic method, which pairs cutting-edge ultrasound techniques with artificial intelligence, can accurately diagnose thyroid cancer, of which there are more than 40,000 new cases every year.
The method—deemed high-definition microvasculature imaging, or HDMI—noninvasively captures images of the tiny vessels within tumors and, based on the vessel features, automatically classifies the masses. Researchers at the Mayo Clinic College of Medicine and Science, who developed the technique, tested it on 92 patients with thyroid tumors, finding that the method could distinguish if the growths were cancerous with 89% accuracy. In a study published in the journal Cancers, the authors suggest that HDMI could potentially resolve a long-standing diagnostic challenge of assessing thyroid tumors in the clinic… Continue reading.