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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

Purpose: The aim of this study was to investigate the accuracy of PET-based treatment planning for predicting the time-integrated activity coefficients (TIACs). Methods: The parameters of a physiologically based pharmacokinetic (PBPK) model were fitted to the biokinetic data of 15 patients to derive...

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Hauptverfasser: Hardiansyah, Deni (VerfasserIn) , Glatting, Gerhard (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 19 August 2016
In: Medical physics
Year: 2016, Jahrgang: 43, Heft: 9, Pages: 5145-5154
ISSN:2473-4209
DOI:10.1118/1.4961012
Online-Zugang:Verlag, Volltext: https://doi.org/10.1118/1.4961012
Verlag, Volltext: https://aapm.onlinelibrary.wiley.com/doi/abs/10.1118/1.4961012
Volltext
Verfasserangaben:Deni Hardiansyah, Wei Guo, Peter Kletting, Felix M. Mottaghy, Gerhard Glatting

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520 |a Purpose: The aim of this study was to investigate the accuracy of PET-based treatment planning for predicting the time-integrated activity coefficients (TIACs). Methods: The parameters of a physiologically based pharmacokinetic (PBPK) model were fitted to the biokinetic data of 15 patients to derive assumed true parameters and were used to construct true mathematical patient phantoms (MPPs). Biokinetics of 150 MBq 68Ga-DOTATATE-PET was simulated with different noise levels [fractional standard deviation (FSD) 10%, 1%, 0.1%, and 0.01%], and seven combinations of measurements at 30 min, 1 h, and 4 h p.i. PBPK model parameters were fitted to the simulated noisy PET data using population-based Bayesian parameters to construct predicted MPPs. Therapy simulations were performed as 30 min infusion of 90Y-DOTATATE of 3.3 GBq in both true and predicted MPPs. Prediction accuracy was then calculated as relative variability vorgan between TIACs from both MPPs. Results: Large variability values of one time-point protocols [e.g., FSD = 1%, 240 min p.i., vkidneys = (9 ± 6)%, and vtumor = (27 ± 26)%] show inaccurate prediction. Accurate TIAC prediction of the kidneys was obtained for the case of two measurements (1 and 4 h p.i.), e.g., FSD = 1%, vkidneys = (7 ± 3)%, and vtumor = (22 ± 10)%, or three measurements, e.g., FSD = 1%, vkidneys = (7 ± 3)%, and vtumor = (22 ± 9)%. Conclusions: 68Ga-DOTATATE-PET measurements could possibly be used to predict the TIACs of 90Y-DOTATATE when using a PBPK model and population-based Bayesian parameters. The two time-point measurement at 1 and 4 h p.i. with a noise up to FSD = 1% allows an accurate prediction of the TIACs in kidneys. 
650 4 |a Bayes methods 
650 4 |a Bayesian parameter 
650 4 |a Biological material 
650 4 |a Biomedical modeling 
650 4 |a Cancer 
650 4 |a Computer modeling 
650 4 |a Dose-volume analysis 
650 4 |a dosimetry 
650 4 |a e.g. blood 
650 4 |a Haemocytometers 
650 4 |a kidney 
650 4 |a Kidneys 
650 4 |a Liver 
650 4 |a Measuring half-life of a radioactive substance 
650 4 |a Medical imaging 
650 4 |a Medical treatment planning 
650 4 |a Optimization 
650 4 |a PBPK model 
650 4 |a Peptides 
650 4 |a PET 
650 4 |a phantoms 
650 4 |a positron emission tomography 
650 4 |a Positron emission tomography (PET) 
650 4 |a PRRT 
650 4 |a radiation therapy 
650 4 |a Radiation therapy 
650 4 |a radioisotopes 
650 4 |a Scintigraphy 
650 4 |a TIAC 
650 4 |a Tissue response 
650 4 |a tumours 
650 4 |a urine 
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