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Integration of Deep Learning Radiomics and Counts of Circulating Tumor Cells Improves Prediction of Outcomes of Early Stage NSCLC Patients Treated With Stereotactic Body Radiation Therapy

Zhicheng Jiao, Hongming Li, Ying Xiao, Jay F. Dorsey, Charles B. Simone, Steven J. Feigenberg, Gary D. Kao, Yong Fan

2021International Journal of Radiation Oncology*Biology*Physics32 citationsDOIOpen Access PDF

Topics & Concepts

RadiomicsStage (stratigraphy)MedicineOncologyInternal medicineRadiologyBiologyPaleontologyRadiomics and Machine Learning in Medical ImagingLung Cancer Diagnosis and TreatmentCancer Immunotherapy and Biomarkers
Integration of Deep Learning Radiomics and Counts of Circulating Tumor Cells Improves Prediction of Outcomes of Early Stage NSCLC Patients Treated With Stereotactic Body Radiation Therapy | Litcius