New Mayo Software Identifies and Stratifies Risk Presented by Lung Nodules

A multidisciplinary team of researchers at Mayo Clinic is promoting a whole new program to noninvasively characterize pulmonary adenocarcinoma, a common style of cancerous nodule inside lungs. Results from your pilot study on the computer-aided nodule assessment and risk yield (CANARY) are published in the Journal of Thoracic Oncology.

“Pulmonary adenocarcinoma is the most common type of lung cancer and early detection using traditional computed tomography "lung-cancer"(CT) scans can lead to a better prognosis,” says Tobias Peikert, M.D., a Mayo Clinic pulmonologist and senior author of the study. “However, a subgroup of the detected adenocarcinomas identified by CT may grow very slowly and may be treatable with less extensive surgery.”

CANARY can noninvasively stratify danger lung adenocarcinomas pose by characterizing the nodule as aggressive or indolent with good-sensitivity, specificity and predictive values.

CANARY uses data purchased from existing high-resolution diagnostic or screening CT images of pulmonary adenocarcinomas to complement each pixel with the lung nodule to one of nine unique radiological exemplars. In testing, the CANARY classification of these lesions had a very good correlation with all the microscopic research into the surgically removed lesions that were examined by lung pathologists, Dr. Peikert says.

United states is the leading cause of cancer-related deaths in america.

Source: Myoclinic newsupdate

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