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Köller A, Grzegorzewski J, Tautenhahn HM, et al. Prediction of Survival After Partial Hepatectomy Using a Physiologically Based Pharmacokinetic Model of Indocyanine Green Liver Function Tests. Front Physiol. 2021;12:730418doi: 10.3389/fphys.2021.730418.
Köller, A., Grzegorzewski, J., Tautenhahn, H. M., & König, M. (2021). Prediction of Survival After Partial Hepatectomy Using a Physiologically Based Pharmacokinetic Model of Indocyanine Green Liver Function Tests. Frontiers in physiology, 12730418. https://doi.org/10.3389/fphys.2021.730418
Köller, Adrian, et al. "Prediction of Survival After Partial Hepatectomy Using a Physiologically Based Pharmacokinetic Model of Indocyanine Green Liver Function Tests." Frontiers in physiology vol. 12 (2021): 730418. doi: https://doi.org/10.3389/fphys.2021.730418
Köller A, Grzegorzewski J, Tautenhahn HM, König M. Prediction of Survival After Partial Hepatectomy Using a Physiologically Based Pharmacokinetic Model of Indocyanine Green Liver Function Tests. Front Physiol. 2021 Nov 22;12:730418. doi: 10.3389/fphys.2021.730418. eCollection 2021. PMID: 34880771; PMCID: PMC8646028.
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Front Physiol. 2021 Nov 22;12:730418. doi: 10.3389/fphys.2021.730418. eCollection 2021.

Prediction of Survival After Partial Hepatectomy Using a Physiologically Based Pharmacokinetic Model of Indocyanine Green Liver Function Tests.

Frontiers in physiology

Adrian Köller, Jan Grzegorzewski, Hans-Michael Tautenhahn, Matthias König

Affiliations

  1. Institute for Theoretical Biology, Institute of Biology, Humboldt University, Berlin, Germany.
  2. Experimental Transplantation Surgery, Department of General, Visceral and Vascular Surgery, Jena University Hospital, Jena, Germany.

PMID: 34880771 PMCID: PMC8646028 DOI: 10.3389/fphys.2021.730418

Abstract

The evaluation of hepatic function and functional capacity of the liver are essential tasks in hepatology as well as in hepatobiliary surgery. Indocyanine green (ICG) is a widely applied test compound that is used in clinical routine to evaluate hepatic function. Important questions for the functional evaluation with ICG in the context of hepatectomy are how liver disease such as cirrhosis alters ICG elimination, and if postoperative survival can be predicted from preoperative ICG measurements. Within this work a physiologically based pharmacokinetic (PBPK) model of ICG was developed and applied to the prediction of the effects of a liver resection under various degrees of cirrhosis. For the parametrization of the computational model and validation of model predictions a database of ICG pharmacokinetic data was established. The model was applied (i) to study the effect of liver cirrhosis and liver resection on ICG pharmacokinetics; and (ii) to evaluate the model-based prediction of postoperative ICG-R15 (retention ratio 15 min after administration) as a measure for postoperative outcome. Key results are the accurate prediction of changes in ICG pharmacokinetics caused by liver cirrhosis and postoperative changes of ICG-elimination after liver resection, as validated with a wide range of data sets. Based on the PBPK model, individual survival after liver resection could be classified, demonstrating its potential value as a clinical tool.

Copyright © 2021 Köller, Grzegorzewski, Tautenhahn and König.

Keywords: computational model; hepatectomy; indocyanine green; liver cirrhosis; liver function; liver resection; mathematical model; pharmacokinetics

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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