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Article

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

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes - 1 Feb 2021

Nair Jay Kumar Raghavan, Saeed Umar Abid, McDougall Connor C, Sabri Ali, Kovacina Bojan, Raidu B V S, Khokhar Riaz Ahmed, Probst Stephan, Hirsh Vera, Chankowsky Jeffrey, Van Kempen Léon C, Taylor Jana

Abstract excerpt

BACKGROUND: The purpose of this study was to build radiogenomics models from texture signatures derived from computed tomography (CT) and 18F-FDG PET-CT (FDG PET-CT) images of non-small cell lung cancer (NSCLC) with and without epidermal growth factor receptor (EGFR) mutations. METHODS: Fifty patients diagnosed with NSCLC between 2011 and 2015 and with known EGFR mutation status were retrospectively identified....

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PMID: 32063026
DOI: 10.1177/0846537119899526

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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