Deep-Learning-Based Predictive Imaging Biomarker Model for EGFR Mutation Status in Non-Small Cell Lung Cancer from CT Imaging.
Abhishek MahajanVatsal KaniaUjjwal AgarwalRenuka AshtekarShreya ShuklaVijay Maruti PatilVanita NoronhaAmit JoshiNandini MenonRajiv Kumar KaushalSwapnil RaneAnuradha ChouguleSuthirth VaidyaKrishna KaluvaKumar PrabhashPublished in: Cancers (2024)
This AI-based radiomics and DLR model demonstrated high accuracy in predicting EGFR mutation, serving as a non-invasive and user-friendly imaging biomarker for EGFR mutation status prediction.
Keyphrases
- small cell lung cancer
- high resolution
- epidermal growth factor receptor
- deep learning
- tyrosine kinase
- artificial intelligence
- computed tomography
- machine learning
- squamous cell carcinoma
- fluorescence imaging
- magnetic resonance
- mass spectrometry
- positron emission tomography
- photodynamic therapy
- image quality
- low cost
- pet ct