Using clinical and radiomic feature–based machine learning models to predict pathological complete response in patients with esophageal squamous cell carcinoma receiving neoadjuvant chemoradiation
J. Wang, Xiang Zhu, Jian Zeng, Cheng Liu, Wei Shen, Xiaojiang Sun, Qingren Lin, Jun Fang, Qixun Chen, Yongling Ji
Topics & Concepts
MedicineNeuroradiologyEsophageal squamous cell carcinomaInterventional radiologyFeature (linguistics)RadiologyComplete responseNeoadjuvant therapyPathologicalChemoradiotherapyCarcinomaUltrasoundBasal cellOncologyInternal medicineRadiation therapyChemotherapyNeurologyCancerLinguisticsPhilosophyPsychiatryBreast cancerEsophageal Cancer Research and TreatmentRadiomics and Machine Learning in Medical ImagingPancreatic and Hepatic Oncology Research