Abstract #2241

Pre-Operative In Silico Risk Assessment for Hepatectomy Patients, Using MRI and Pharmacokinetic Modeling

Christian Simonsson^1,2,3, Wolf Claus Bartholomä^1,2, Anna Lindhoff Larsson⁴, Markus Karlsson¹, Jens Tellman¹, Gunnar Cedersund^2,3, Bengt Norén¹, Nils Dahlström^1,2, Per Sandström⁴, and Peter Lundberg^1,2

¹Department of Radiation Physics, Radiology, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden, ²Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden, Linköping University, Linköping, Sweden, ³Department of Biomedical Engineering, Linköping University, Linköping, Sweden, ⁴Department of Surgery, Department of biomedical and clinical sciences, Linköping University, Linköping, Sweden

Synopsis

Keywords: Liver, Liver, Hepatectomy, Gd-DPTA-EOB, Pharmacokinetic Modeling , Risk assessmentFor a range of late-stage liver disease the only curative treatment option may be hepatectomy surgery, which can have fatal complications. 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. We show the tentative predictive capabilities of this approach. This approach could lead to a more precise pre-operative assessment.

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