Abstract #4188

In silico liver resection to estimate global and regional hepatobiliary function

Christian Simonsson^1,2,3, Wolf Claus Bartholomä^2,3, Anna Lindhoff Larsson⁴, Markus Karlsson², Bengt Norén², Gunnar Cedersund^1,3, Per Sandström⁴, Nils Dahlström^2,3, and Peter Lundberg^2,3

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

Synopsis

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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