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Volume-assisted Estimation of Remnant Liver Function Based on Gd-EOB-DTPA Enhanced MR Relaxometry: a Prospective Observational Trial
Niklas Verloh
Carolina Río Bártulos
Kirsten Utpatel
Frank Werner Brennfleck
Andrea Götz
Andreas Johannes Schicho
Claudia Maria Fellner
Marcel Dominik Johannes Nickel
Florian Zeman
Johannes F. Steinmann
Wibke Uller
Christian Stroszczynski
Hans Jürgen Schlitt
Phillip Wiggermann
Michael Haimerl
出版
Universität
, 2023
URL
http://books.google.com.hk/books?id=5xFg0AEACAAJ&hl=&source=gbs_api
註釋
Abstract: 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