Tobias Peikert
(Credit: Mayo Clinic)
With lung cancer being the leading cause of cancer-related deaths in the U.S., effective early screening is key to saving lives. Researchers at the Mayo Clinic say they've developed new software that can help classify lung nodules noninvasively, saving lives and health care costs.
A pilot study of the program called Computer-aided Nodule Assessment and Risk Yield, or Canary, appears in the April issue of the Journal of Thoracic Oncology.
Canary leans on data from high-resolution CT images of a common type of cancerous nodule in the lung called pulmonary adenocarcinomas. It matches every pixel of the lung image to one of nine unique radiological exemplars. In the pilot study, it was able to classify the lesions as aggressive or indolent with high sensitivity, as compared to microscopic analyses of the lesions after being surgically removed and analyzed by lung pathologists.
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