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Volume-Assisted Estimation of Remnant Liver Function Based on Gd-EOB-DTPA Enhanced MR Relaxometry: A Prospective Observational Trial

Authors :
Niklas Verloh
Carolina Rio Bartulos
Kirsten Utpatel
Frank Brennfleck
Andrea Goetz
Andreas Schicho
Claudia Fellner
Dominik Nickel
Florian Zeman
Johannes F. Steinmann
Wibke Uller
Christian Stroszczynski
Hans-Jürgen Schlitt
Phillip Wiggermann
Michael Haimerl
Source :
Diagnostics, Vol 13, Iss 18, p 3014 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

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.

Details

Language :
English
ISSN :
20754418
Volume :
13
Issue :
18
Database :
Directory of Open Access Journals
Journal :
Diagnostics
Publication Type :
Academic Journal
Accession number :
edsdoj.5a34d4f128fe4d82aff6ecba2f93994d
Document Type :
article
Full Text :
https://doi.org/10.3390/diagnostics13183014