
U.S. newspaper coverage of low-dose CT lung cancer screening between 2010 and 2022 was overall positive -- but more thorough coverage is needed, according to a study published March 15 in the American Journal of Roentgenology.
A team led by Zachary Zippi of Florida International University College of Medicine conducted a review of 859 newspaper articles published during that time period and found that sentiment regarding lung cancer screening was positive in 76% of articles, neutral in 21%, and negative in 3%. The team also found the following in the articles:
- 52% mentioned lung cancer screening enrollment criteria.
- 28% mentioned smoking cessation.
- 27% mentioned the need for annual LDCT.
- 33% mentioned cost or insurance coverage for lung cancer screening.
- 64% mentioned at least one benefit of lung cancer screening.
- 9% interviewed or mentioned a radiologist.
Although the study findings were positive overall, there's room for more thorough media coverage about lung cancer screening, the group wrote.
"The findings highlight areas for potential improvement of LCS media coverage; radiologists have an opportunity to take a more active role in this coverage," the team concluded.
















![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)



