Center for Clinical Trials, University Hospital Regensburg, 93053 Regensburg, Germany
Johannes F. Steinmann
Department of Anesthesiology, University Medical Center Regensburg, 93053 Regensburg, Germany
Wibke Uller
Department of Diagnostic and Interventional Radiology, Medical Center University of Freiburg, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany
Christian Stroszczynski
Department of Radiology, University Hospital Regensburg, 93053 Regensburg, Germany
Hans-Jürgen Schlitt
Department of Surgery, University Hospital Regensburg, 93053 Regensburg, Germany
Phillip Wiggermann
Institut für Röntgendiagnostik und Nuklearmedizin, Städtisches Klinikum Braunschweig gGmbH, 38114 Braunschweig, Germany
Michael Haimerl
Department of Radiology, University Hospital Regensburg, 93053 Regensburg, Germany
In the context of liver surgery, predicting postoperative liver dysfunction is essential. This study explored the potential of preoperative liver function assessment by MRI for predicting postoperative liver dysfunction and compared these results with the established indocyanine green (ICG) clearance test. This prospective study included patients undergoing liver resection with preoperative MRI planning. Liver function was quantified using T1 relaxometry and correlated with established liver function scores. The analysis revealed an improved model for predicting postoperative liver dysfunction, exhibiting an accuracy (ACC) of 0.79, surpassing the 0.70 of the preoperative ICG test, alongside a higher area under the curve (0.75). Notably, the proposed model also successfully predicted all cases of liver failure and showed potential in predicting liver synthesis dysfunction (ACC 0.78). This model showed promise in patient survival rates with a Hazard ratio of 0.87, underscoring its potential as a valuable tool for preoperative evaluation. The findings imply that MRI-based assessment of liver function can provide significant benefits in the early identification and management of patients at risk for postoperative liver dysfunction.