Robust radiogenomics approach to the identification of EGFR mutations among patients with NSCLC from three different countries using topologically invariant Betti numbers.
Kenta NinomiyaHidetaka ArimuraWai Yee ChanKentaro TanakaShinichi MizunoNadia Fareeda Muhammad GowdhNur Adura YaakupChong-Kin LiamChee-Shee ChaiKwan Hoong NgPublished in: PloS one (2021)
The proposed model showed higher robustness than the conventional models in the identification of EGFR mutations among NSCLC patients. The results suggested the robustness of the BN-based approach against variations in image scanner/scanning parameters.
Keyphrases
- small cell lung cancer
- end stage renal disease
- epidermal growth factor receptor
- advanced non small cell lung cancer
- ejection fraction
- newly diagnosed
- tyrosine kinase
- chronic kidney disease
- brain metastases
- prognostic factors
- deep learning
- peritoneal dialysis
- bioinformatics analysis
- patient reported outcomes
- computed tomography
- image quality