This study is the HANSE prospective cohort study comparing the effectiveness of NELSON and PLCOm2012 lung cancer screening criteria in Germany. From 2018 to 2020, low-dose CT screening was conducted on 4,264 participants, with 2,134 eligible under NELSON criteria and 4,012 under PLCOm2012 criteria. While PLCOm2012 criteria included more participants, the detection rate was higher for NELSON at 2.3% compared to 1.7% for PLCOm2012. NELSON also showed superior Stage I lung cancer detection rates. Aview was utilized as AI-based software for nodule detection and volumetry in this study, being used for all CT scan analyses to measure nodule size and volume. The study results suggest that NELSON criteria are a more effective screening method for the German population.
These findings highlight the importance of screening eligibility criteria in optimizing detection efficiency, suggesting that risk selection strategies can significantly impact early-stage lung cancer identification in population-based screening programs.
In this study, Aview software was utilized for automated nodule detection and volumetric analysis, supporting consistent evaluation across large-scale LDCT screening workflows.
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