
Shortening the follow-up interval by one month for indeterminate lesions found on CT lung cancer screening -- from six to five -- translates into better patient outcomes, according to a study published August 19 in the Journal of the American College of Radiology.
The results could change the way clinicians care for patients with lung findings classified as Lung-RADS 3 (probably benign), wrote a group led by Mehrad Bastani, PhD, of Stanford University.
"Our [study supports] the notion that both individuals and physicians [should be] highly encouraged to ensure the diagnostic follow-up examinations for subjects with Lung-RADS category 3 nodules are implemented earlier or no later than the current recommended six-month interval," the team wrote.
The American College of Radiology's Lung CT Screening Reporting and Data System (Lung-RADS) was developed to standardize diagnostic follow-up of suspicious findings on CT lung cancer screening. But the timing of this follow-up, particularly for category 3 (probably benign) and 4A (suspicious), remains open to debate.
"The National Lung Screening Trial (NLST) demonstrated that screening with low-dose CT (LDCT) reduces [lung cancer]-specific mortality by 20% compared with chest radiography among high-risk patients," the group wrote. "However, the NLST had no standard follow-up protocol for suspicious pulmonary nodules of unknown clinical significance (aka, indeterminate findings)."
Bastani and colleagues evaluated the effectiveness of various follow-up intervals for Lung-RADS 3 and 4A lesions. They used the Lung Cancer Outcome Simulator (LCOS) -- a tool developed by the Cancer Intervention and Surveillance Modeling Network Consortium -- to estimate outcomes among a simulated 1960 population level cohort of 1 million men and women for different follow-up periods, based on the U.S. Preventive Services Task Force (USPSTF) lung cancer screening guidelines.
The current recommended follow-up interval for Lung-RADS 4A lesions is three months, and the modeling study confirmed that this timeframe is best. But for lesions categorized as Lung-RADS 3, the group determined that five months rather than the recommended six-month follow-up translated into better outcomes in a simulated cohort of 1 million people.
| Impact of reducing follow-up from 6 to 5 months for indeterminate lung lesions on CT | |||
| 6-month follow-up | 5-month follow-up | Difference | |
| Mortality reduction | 6.89% | 6.97% | 0.08 percentage points |
| Deaths averted | 3,253 | 3,217 | 36 deaths |
| Screen-detected cases of cancer | 14,561 | 14,582 | 21 cases |
| No. of LDCT scans and diagnostic follow-ups per death averted | 738 | 730 | 8 |
| Life-years gained | 44,068 life years | 44,667 life-years | 599 life-years |
The study shows that patients with indeterminate lesions on low-dose CT lung cancer screening should be urged to follow through on follow-up, according to the researchers.
"Patients with Lung-RADS 3 nodule findings are encouraged to avoid any follow-up delays despite their low malignancy risks," they 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=100&q=70&w=100)







![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)








