MR Imaging Biomarkers for the Prediction of Outcome after Radiofrequency Ablation of Hepatocellular Carcinoma: Qualitative and Quantitative Assessments of the Liver Imaging Reporting and Data System and Radiomic Features
Alexandra Petukhova-Greenstein, Tal Zeevi, Junlin Yang, Nathan Chai, Paul DiDomenico, Yanhong Deng, Maria Ciarleglio, Stefan P. Haider, Ifeyinwa Onyiuke, Rohil Malpani, MingDe Lin, Ahmet S. Kücükkaya, Luzie A. Gottwald, Bernhard Gebauer, Margarita V. Revzin, John A. Onofrey, Lawrence H. Staib, Gowthaman Gunabushanam, Tamar H. Taddei, Julius Chapiro
Topics & Concepts
MedicineHepatocellular carcinomaMagnetic resonance imagingRadiologyInstitutional review boardRadiofrequency ablationResponse Evaluation Criteria in Solid TumorsProportional hazards modelNuclear medicineConfidence intervalRetrospective cohort studyAblationInternal medicineSurgeryProgressive diseaseChemotherapyHepatocellular Carcinoma Treatment and PrognosisLiver Disease Diagnosis and TreatmentRadiomics and Machine Learning in Medical Imaging