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Early response evaluation using primary tumor and nodal imaging features to predict progression-free survival of locally advanced non-small cell lung cancer

Nasha Zhang, Rachel Liang, Michael F. Gensheimer, Meiying Guo, Hui Zhu, Jinming Yu, Maximilian Diehn, Bill W. Loo, Ruijiang Li, Jia Wu

2020Theranostics49 citationsDOIOpen Access PDF

Abstract

: Evaluation of early treatment response by combining primary tumor and nodal imaging characteristics may improve the prediction of PFS of locally advanced NSCLC patients.

Topics & Concepts

MedicineHazard ratioProportional hazards modelOncologyInternal medicineChemoradiotherapyLung cancerStage (stratigraphy)Confidence intervalRetrospective cohort studyCohortMultivariate analysisProgression-free survivalPrimary tumorCancerRadiologyOverall survivalMetastasisPaleontologyBiologyRadiomics and Machine Learning in Medical ImagingLung Cancer Diagnosis and TreatmentMedical Imaging Techniques and Applications
Early response evaluation using primary tumor and nodal imaging features to predict progression-free survival of locally advanced non-small cell lung cancer | Litcius