Artificial Intelligence as Concurrent Reader in Prospective European Lung Cancer Screening (4-INTHE-LUNG-RUN) Trial

Authors
M. Vonder, C. van der Aalst, J. Hubert, D. Moldovanu, A. Schmitz, S. Delorme, J. W. Gratama, M. Silva, H. de Koning, M. Oudkerk
Journal
Journal of Thoracic Oncology
Related Product

LCS

Date Published
2023.11
Summary

In the European 4-IN-THE-LUNG-RUN (4ITLR) trial, AI integration in lung cancer screening is evaluated. Participants, aged 60-79 years with a significant smoking history, underwent low-dose chest CT scans. These scans were initially analyzed by radiologists and then by the AI-based Lung Screen Software (AVIEW) developed by Coreline Soft. Discrepancies between the two assessments led to a third arbitration read. Results showed a 78.7% agreement rate between human and AI readings. Around 21% of arbitration cases required a different categorization from both human and AI reads. Most participants were classified as 'negative,' with fewer in 'indeterminate' or 'positive' categories. The study concludes AI as a concurrent reader is feasible, reducing the need for a second human reader and limiting cases requiring arbitration. Less than 5% of participants needed specialist referral after a baseline scan. The effectiveness of this AI-based approach will be further evaluated in future research.

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