Frontiers in Physiology · 2021 · 16 citations · 57 references
PharmacyPharmacokineticsPharmacologyHepatic PharmacokineticsPharmacokinetic ModelingPharmacokinetic-pharmacodynamic ModelingHepatic Function TestingHepatic PathophysiologyLiver Disease Effects On PharmacokineticsLiver Function TestsPharmacokinetics In Liver DiseasePhysiologically Based Pharmacokinetic ModelingHepatic Function TestsHepatobiliary EliminationIndocyanine Green ImagingLiver Disease PrognosisPharmacokinetic Parameter AnalysisPharmacokinetic ParametersPharmacokinetics In Liver DysfunctionPhysiological-based Pharmacokinetic Modeling
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.
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Scikit-learn: Machine Learning in Python
Fabián Pedregosa, Gaël Varoquaux, Alexandre Gramfort et al. · arXiv (Cornell University) · 2012 · 63.7K citations · Full text
Transection of the oesophagus for bleeding oesophageal varices
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Medicine, Internal Medicine, Surgery +11