"Pulmonary
adenocarcinoma is the most common type of lung cancer and early
detection using traditional computed tomography (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 the risk lung adenocarcinomas pose by
characterizing the nodule as aggressive or indolent with
high-sensitivity,
specificity and predictive values.
CANARY
uses data obtained from existing high-resolution diagnostic or
screening CT images of pulmonary adenocarcinomas to match each pixel of
the lung nodule to one of nine unique radiological exemplars. In
testing, the CANARY classification of these lesions had an excellent
correlation with the microscopic analysis of the surgically removed
lesions that were examined by lung pathologists, Dr. Peikert says.
Lung cancer is the leading cause of cancer-related deaths in the United States.
"Without
effective screening, most lung cancer patients present with advanced
stage disease, which has been associated with poor outcomes," Dr.
Peikert says. "While CT lung cancer screening has been shown to improve
patient survival, the initiation of a nationwide screening program would
carry the risk of overtreatment of slow growing tumors and would be
associated with substantial health care costs. CANARY
represents a new tool to potentially address these issues."
http://www.sciencedaily.com/releases/2013/04/130408133044.htm