Effectiveness of NELSON versus PLCOm2012 lung cancer screening eligibility criteria in Germany (HANSE): a prospective...

Low-dose chest CT screening can reduce lung cancer mortality through early diagnosis. Several studies suggest that risk prediction models are more efficient than categorical age and smoking criteria for participant selection, but there are still reservations from policy makers about their implementation. We aimed to compare the effectiveness of a predefined PLCOm2012 model threshold with the categorical NELSON risk criteria.

In this ongoing prospective cohort study, current or former smokers aged 55-79 years who met either NELSON risk criteria or had a PLCOm2012 6-year risk of at least 1·58% were recruited from three certified German lung cancer centres in Großhansdorf, Hannover, and Lübeck, and received low-dose CT at baseline and 1-year follow-up screening rounds, including all downstream follow-up procedures. The PLCOm2012 cutoff point of at least 1·58% was predefined and estimated to result in an equal group size as with the NELSON inclusion criteria. The primary outcome was the comparison of the positive predictive values for lung cancers detected in PLCOm2012-selected versus NELSON-selected groups. Here, we report the final results of the primary analysis. This study is registered with ClinicalTrials.gov, NCT04913155.

Between July 23, 2021, and Aug 19, 2022 (end of recruitment), 5191 participants (2208 [43·5%] female, 2983 [57·5%] male, and 5076 [97·8%] of European White ethnicity) who met either one or both high-risk criteria were enrolled (4167 PLCOm2012-selected vs 3916 NELSON-selected participants) and underwent the baseline low-dose CT scan. In the observation period between the two low-dose CT screening rounds (mean volume CT dose index 1·15 mGy [SD 0·15]) with a median time interval of 1·05 years (IQR 0·95-1·08), 111 lung cancers were detected. The positive predictive value (lung cancer detection rate) in the PLCOm2012-selected group was 108 of 4167 participants (2·59% [95% CI 2·13-3·12]) compared with 85 of 3916 participants (2·17% [1·74-2·68]) in the NELSON-selected group (p=0·0016), resulting in a lower number needed to screen (38·6 [32·1-46·9] vs 46·1 [37·3-57·5]).

Participant selection using the PLCOm2012 risk prediction model with a 6-year risk of at least 1·58% cutoff is more efficient and effective in detecting lung cancer than the NELSON criteria and should therefore be implemented in lung cancer screening programmes.

Federal Ministry of Education and Research (German Center for Lung Research) and AstraZeneca.