Nature Communications (Oct 2020)

Non-invasive decision support for NSCLC treatment using PET/CT radiomics

  • Wei Mu,
  • Lei Jiang,
  • JianYuan Zhang,
  • Yu Shi,
  • Jhanelle E. Gray,
  • Ilke Tunali,
  • Chao Gao,
  • Yingying Sun,
  • Jie Tian,
  • Xinming Zhao,
  • Xilin Sun,
  • Robert J. Gillies,
  • Matthew B. Schabath

DOI
https://doi.org/10.1038/s41467-020-19116-x
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 11

Abstract

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EGFR mutations are common in non-small cell lung cancer and patients with these mutations are treated with tyrosine kinase inhibitors. Here, the authors show that EGFR mutation status can be predicted from 18F-FDG-PET/CT images, which may enable the stratification of patients for treatment.