Single and multi-site CT-based radiogenomics analysis of metastatic lung adenocarcinoma and correlations with outcome

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Lung cancer is the leading cause of cancer-related deaths, with lung adenocarcinoma being the most common subtype at diagnosis.
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Radiomics enables the extraction of tumor radiophenotypes from CT images, aiding in predicting clinical outcomes and oncogenic alterations.
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The study aimed to extend radiomics-based patient stratification to stage IIIB–IV metastatic lung adenocarcinoma using unsupervised clustering.
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Patients were stratified by smoking history due to distinct tumorigenic pathways in smokers versus non-smokers.
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The study integrated single-site and multi-site radiomic data to assess associations with oncogenic alterations and clinical outcomes.

European Radiology

by Amandine Crombé, Lou Andrea Sitruk, Cécile Masson-Grehaigne, Mathilde Lafon, Jean Palussiere, Benjamin Bonhomme, Sophie Cousin, Nathalie Lassau, Antoine Italiano
January 16, 2026

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