
The use of low-dose computed tomography (CT) has demonstrated a more than 20% lung cancer-specific mortality reduction in landmark lung cancer screening trials. Based on the trial evidence and modeling efforts, the US Preventive Services Task Force (USPSTF) issued lung cancer screening guidelines in 2013 recommending annual low-dose CT for individuals aged 55 to 80 years who had a minimum cumulative smoking exposure of 30 pack-years. The USPSTF guidelines were updated in 2021 and recommended lowering the starting age to 50 years and cumulative smoking exposure to 20 pack-years. Compared with the 2013 guidelines, the revised criteria have been shown to reduce disparities in screening eligibility and performance between Black and White individuals. However, potential disparities among other racial and ethnic groups in the United States have been poorly examined.
Risk model-based screening may improve screening performance and further reduce racial and ethnic disparities compared with strategies based on age and exposure to tobacco smoke alone. Yet the leading risk prediction models were developed and validated using predominately White populations. This issue led Eunji Choi, PhD, and colleagues to examine the predictive performance of the Prostate, Lung, Colorectal, and Ovarian Screening Trial 2012 (PLCOm2012) model and evaluate racial and ethnic disparities and screening performance through risk-based screening using PLCOm2012 versus the revised USPSTF 2021 criteria across five racial and ethnic groups in the United States. Results were reported in JAMA Oncology [published online October 26, 2023; doi:10.1001/jamaoncol.2023.4447].
The Multiethnic Cohort Study included adults aged 45 to 75 years with a history of smoking who were enrolled in the study from 1993 to 1996. Participants were Black, Japanese American, Latino, Native Hawaiian/Other Pacific Islander, or White. Upon enrollment, the participants completed a questionnaire about their smoking history, sociodemographic factors (eg, education level and body mass index), and medical background, including a personal history of cancer or a family history of lung cancer.