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Abstract #2490

Prediction of post-hepatectomy liver function with Dynamic Gadoxetate-Enhanced MRI

David Longbotham1, Daniel Wilson2, Ian Rowe3, Dhakshinamoorthy Vijayanand4, Magdy Attia4, Ashley Guthrie5, Mark Gilthorpe3, Rajendra Prasad4, and Steven Sourbron6
1University of Leeds, Leeds, United Kingdom, 2Department of Medical Physics, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom, 3Leeds Institute of Data Analytics, University of Leeds, Leeds, United Kingdom, 4Hepatobiliary and Transplantation Surgery, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom, 5Department of Radiology, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom, 6Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom

The aim of this study was to identify Dynamic Gadoxetate-Enhanced MRI (DGE-MRI) biomarkers that can improve predictions of post-hepatectomy liver function. 29 patients requiring resection for colorectal liver metastases were recruited, with post-operative bilirubin as outcome measure. The results suggest that: (a) functional imaging substantially improves outcome predictions over demographical and biochemical tests; (b) it is critical to separately characterise the future liver remnant; (c) volumetry does not offer any added predictive value. We conclude that DGE-MRI may improve patient selection for hepatectomy, potentially reducing the risk of post-hepatectomy liver failure while allowing more patients to be operated.

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