Machine learning-based radiomic features on pre-ablation mri as predictors of pathologic response in patients with hepatocellular carcinoma who underwent hepatic transplant

HIGHLIGHTS

• who: Azadeh Tabari et al. from the Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Fruit Street, Boston, MA, USA have published the article: Machine Learning-Based Radiomic Features on Pre-Ablation MRI as Predictors of Pathologic Response in Patients with Hepatocellular Carcinoma Who Underwent Hepatic Transplant, in the Journal: Cancers 2023, 2058 of 15/02/2023
• what: The authors assessed the role of pre-treatment tumor radiomic features in predicting pathologic response to percutaneous ablation in patients with HCC who were listed for liver transplantation.

SUMMARY

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