In silico liver resection to estimate global and regional hepatobiliary function
Christian Simonsson1,2,3, Wolf Claus Bartholomä2,3, Anna Lindhoff Larsson4, Markus Karlsson2, Bengt Norén2, Gunnar Cedersund1,3, Per Sandström4, Nils Dahlström2,3, and Peter Lundberg2,3
1Department of Medical Engineering, Linköping University, Linköping, Sweden, 2Departments of Radiation Physics, Radiology, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden, 3Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden, 4Department of Surgery, Department of biomedical and clinical sciences, Linköping University, Linköping, Sweden
In some cases, treatment of severe liver diseases requires resective surgery. This brings serious complications if the remnant tissue fails to match the requirement of liver function. Therefore, a pre-operative risk assessment is vital. However, usually the assessment only investigates global liver function. For a more precise assessment, we investigate the possibility of using DCE-MRI in combination with pharmacokinetic modeling to quantify both global- and regional liver function. Also, we show a novel eight-compartment hepatic model, capable of performing an in-silico resection. This framework might in the future be used as a tool for a more precise pre-operative assessment.
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