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Article

Predicting EGFR mutational status from pathology images using a real-world dataset.

Scientific reports - 16 Mar 2023

Pao James J, Biggs Mikayla, Duncan Daniel, Lin Douglas I, Davis Richard, Huang Richard S P, Ferguson Donna, Janovitz Tyler, Hiemenz Matthew C, Eddy Nathanial R, Lehnert Erik, Cabili Moran N, Frampton Garrett M, Hegde Priti S, Albacker Lee A

Abstract excerpt

Treatment of non-small cell lung cancer is increasingly biomarker driven with multiple genomic alterations, including those in the epidermal growth factor receptor (EGFR) gene, that benefit from targeted therapies. We developed a set of algorithms to assess EGFR status and morphology using a real-world advanced lung adenocarcinoma cohort of 2099 patients with hematoxylin and eosin (H&E) images exhibiting high...

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Adenocarcinoma of Lung
AI in cancer detection
Carcinoma, Non-Small-Cell Lung
Colorectal Cancer Treatments and Studies

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Radiomics and Machine Learning in Medical Imaging

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PMID: 36927889
DOI: 10.1038/s41598-023-31284-6
PMCID: PMC10020556

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