Time-integrated activity coefficient estimation for radionuclide therapy using PET and a pharmacokinetic model: A simulation study on the effect of sampling schedule and noise

2016 ◽  
Vol 43 (9) ◽  
pp. 5145-5154 ◽  
Author(s):  
Deni Hardiansyah ◽  
Wei Guo ◽  
Peter Kletting ◽  
Felix M. Mottaghy ◽  
Gerhard Glatting
Keyword(s):  
Activity Coefficient ◽  
Simulation Study ◽  
Radionuclide Therapy ◽  
Pharmacokinetic Model ◽  
Coefficient Estimation ◽  
Sampling Schedule

scholarly journals Dependence of treatment planning accuracy in peptide receptor radionuclide therapy on the sampling schedule

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Christian Maaß ◽  
Jan Philipp Sachs ◽  
Deni Hardiansyah ◽  
Felix M. Mottaghy ◽  
Peter Kletting ◽  
...  
Keyword(s):  
Treatment Planning ◽  
Radionuclide Therapy ◽  
Peptide Receptor Radionuclide Therapy ◽  
Peptide Receptor ◽  
Sampling Schedule

scholarly journals Application of a whole-body pharmacokinetic model for targeted radionuclide therapy to NM404 and FLT

2012 ◽  
Vol 57 (6) ◽  
pp. 1641-1657 ◽  
Author(s):  
Joseph J Grudzinski ◽  
John M Floberg ◽  
Sarah R Mudd ◽  
Justin J Jeffery ◽  
Eric T Peterson ◽  
...  
Keyword(s):  
Radionuclide Therapy ◽  
Pharmacokinetic Model ◽  
Whole Body ◽  
Targeted Radionuclide Therapy

Comparison of different methods for estimating activity coefficients in binary mixtures of hydrocarbons

1981 ◽  
Vol 46 (7) ◽  
pp. 1541-1548
Author(s):  
Vladimír Dohnal
Keyword(s):  
Activity Coefficient ◽  
Binary Mixtures ◽  
Activity Coefficients ◽  
Regular Solution Model ◽  
Pure Component ◽  
Group Contribution ◽  
Coefficient Estimation ◽  
The Mean ◽  
Group Contribution Methods ◽  
The One

The accuracy and reliability of a number of different methods for predicting activity coefficients in binary solutions of hydrocarbons was tested. Various modifications of the regular solution model and of the one-parameter Wilson equation and various group-contribution methods were applied to a set of 53 binary mixtures of hydrocarbons of different types. The agreement of the calculated and experimental dependence of activity coefficients on composition was considered. On using the best methods requiring the knowledge of pure component properties only, it is necessary to expect on the average an error of 7% in the value of activity coefficient. When using the group-contribution methods, which employ condensed information on related systems for the prediction, the mean error in the activity coefficient estimation lies about 4%.

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