Liver Imaging-Reporting and Data System treatment response algorithm predicts postsurgical recurrence in locoregional therapy-treated hepatocellular carcinoma.
Seo Yeon YounBo Hyun KimDong Hwan KimHo Joong ChoiPil Soo SungJoon-Il ChoiPublished in: European radiology (2022)
• The Liver Imaging Reporting and Data System treatment response (LR-TR) viable disease (hazard ratio [HR], 3.84; p = 0.043), preoperative serum AFP level > 200 ng/mL (HR, 3.63; p = 0.002), more than three locoregional treatment (LRT) sessions (HR, 4.99; p = 0.003), and resection compared to liver transplantation (HR, 3.35; p = 0.001) were the independent predictors for postsurgical recurrence in LRT-treated HCCs. • A scoring system combining LR-TR categories and key clinical factors stratifies the patients into poor, intermediate, and favorable recurrence risk groups, with 1-year RFS rates of 35.0%, 78.3%, and 97.0%, respectively (p < 0.001). • Outside Milan at the time of surgery (HR, 5.79; p = 0.001) and recurrence within the first postoperative year (HR, 17.66; p < 0.001) were associated with poor overall survival.
Keyphrases
- free survival
- newly diagnosed
- high resolution
- patients undergoing
- end stage renal disease
- electronic health record
- minimally invasive
- machine learning
- ejection fraction
- adverse drug
- peritoneal dialysis
- stem cells
- mesenchymal stem cells
- emergency department
- prognostic factors
- coronary artery disease
- fluorescence imaging
- patient reported
- data analysis