
The American Thoracic Society (ATS) and the American Lung Association (ALA) have developed a guide and online toolkit to facilitate the implementation and management of CT lung cancer screening programs in the U.S.
Developed by a panel of experts including physicians, program navigators, and patient advocates, the guide provides a framework for conducting high-quality CT lung screening and covers a wide range of related topics, from radiologist training and shared decision-making to counseling on smoking cessation.
"The website and guide detail operational strategies and resources used by leaders of established [CT lung cancer screening] programs throughout the United States," wrote Dr. Carey Thomson from Harvard Medical School and Dr. Andrea McKee from Tufts University School of Medicine in a November editorial published in the American Journal of Respiratory and Critical Care Medicine.
Such resources are designed to help institutions overcome barriers to the implementation of lung cancer screening programs and, ultimately, to help save the lives of individuals at high risk for lung cancer, they wrote.
The full guide and web-based toolkit are available at LungCancerScreeningGuide.org.
















![Images show the pectoralis muscles of a healthy male individual who never smoked (age, 66 years; height, 178 cm; body mass index [BMI, calculated as weight in kilograms divided by height in meters squared], 28.4; number of cigarette pack-years, 0; forced expiratory volume in 1 second [FEV1], 97.6% predicted; FEV1: forced vital capacity [FVC] ratio, 0.71; pectoralis muscle area [PMA], 59.4 cm2; pectoralis muscle volume [PMV], 764 cm3) and a male individual with a smoking history and chronic obstructive pulmonary disorder (COPD) (age, 66 years; height, 178 cm; BMI, 27.5; number of cigarette pack-years, 43.2, FEV1, 48% predicted; FEV1:FVC, 0.56; PMA, 35 cm2; PMV, 480.8 cm3) from the Canadian Cohort Obstructive Lung Disease (i.e., CanCOLD) study. The CT image is shown in the axial plane. The PMV is automatically extracted using the developed deep learning model and overlayed onto the lungs for visual clarity.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/03/genkin.25LqljVF0y.jpg?auto=format%2Ccompress&crop=focalpoint&fit=crop&h=112&q=70&w=112)



