Keywords: Hepatobiliary, DSC & DCE Perfusion, Biliary Tract Cancer patient risk assessment
Motivation: Biliary tract cancers (BTC) requiring extensive liver resections lack sufficient methods of functional evaluation. DCE-MRI derived functional parameters are promising imaging biomarkers for regional liver function evaluation.
Goal(s): This study addresses the demand for accurate preoperative functional evaluation and risk assessment in BTC patients undergoing liver resection.
Approach: We compared the correlations between functional imaging biomarkers and blood serum markers. By combining functional imaging biomarkers with traditional markers, we built a machine learning model for postoperative complication prediction.
Results: We illustrated correlations between functional imaging biomarkers and blood serum markers and the prediction model had an AUC of 0.784.
Impact: Our work enhances preoperative risk assessment in biliary tract cancer by integrating MRI-derived functional parameters with serum markers, complementing traditional metrics for more accurate regional liver function evaluation and improving prediction of postoperative complications for personalized surgical planning.
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