including lung imaging reporting and data system (Lung-RADS) category; and cancer diagnosis and stage were captured. Because the study included data collected between 2015 to 2019, the authors ...

Forty-three subjects (16.5%) had positive scans, of which 28/260 (10.8%) were Lung-RADS category 3, 8/260 (3.1%) were 4A, 6/260 (2.3%) were 4B, and 2/260 (0.8%) were 4X. Four subjects were ...

Disqualifying events included high-risk LCS findings (eg, Lung-RADS categories 3 and 4) for which closer follow-up is advised, lung cancer diagnosis, age older than 80 years, or death before the ...

"We wanted to make the LungRADS as familiar to radiologist as BI-RADS ... additional lung cancer screening CT images and/or comparisons to prior chest CT examinations if needed. Category 1 ...

The false-positive rate was also lower under Lung-RADS, at 13 percent, compared to NLST at 27 percent. The cancers that Lung-RADS missed looked to be slow-growing or minimally invasive.

Findings were given four classifications based on the Lung-RADS assessment tool, established by the American College of Radiology—Lung-RADS 3, 4A, 4B and 4X—from low to high risk. Follow-up ...

Their retrospective analysis of 314 patients from the same Cleveland Clinic cohort assessed Lung-RADS assessment categories. Five patients were diagnosed with lung cancer during the 4-year follow ...

Lung-RADS v2022 is a quality assurance tool that was published in November 2022, designed to standardize lung cancer screening CT reporting and management recommendations, reduce confusion in lung ...

"Our findings suggest that the Nu.Q® Cancer blood test could provide an accurate method for classifying and identifying pulmonary nodules across different Lung-RADS categories, the standard for lung ...

Radiologists using artificial intelligence (AI)-based software in real clinical practice were better able to detect lung nodules on chest radiographs than radiologists using radiographs alone ...