4.6 Article

CT texture analysis for prediction of EGFR mutational status and ALK rearrangement in patients with non-small cell lung cancer

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Radiogenomic Models Using Machine Learning Techniques to Predict EGFR Mutations in Non-Small Cell Lung Cancer

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Summary: The study established radiogenomic models using texture features from FDG PET-CT and CT images to identify NSCLC tumors with EGFR mutations. The models showed promising results in predicting EGFR mutant status, demonstrating the potential value of imaging signatures in pretreatment assessment and prognosis for precision therapy.

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