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Physiologically Based Pharmacokinetic (PBPK) Model for Biodistribution of Radiolabeled Peptides in Patients with Neuroendocrine Tumours

OBJECTIVE(S): The objectives of this work was to assess the benefits of the application of Physiologically Based Pharmacokinetic (PBPK) models in patients with different neuroendocrine tumours (NET) who were treated with Lu-177 DOTATATE. The model utilises clinical data on biodistribution of radiola...

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Autores principales: Gospavic, Radovan, Knoll, Peter, Mirzaei, Siroos, Popov, Viktor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Asia Oceania Journal of Nuclear Medicine & Biology 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4938879/
https://www.ncbi.nlm.nih.gov/pubmed/27408897
http://dx.doi.org/10.7508/aojnmb.2016.02.005
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author Gospavic, Radovan
Knoll, Peter
Mirzaei, Siroos
Popov, Viktor
author_facet Gospavic, Radovan
Knoll, Peter
Mirzaei, Siroos
Popov, Viktor
author_sort Gospavic, Radovan
collection PubMed
description OBJECTIVE(S): The objectives of this work was to assess the benefits of the application of Physiologically Based Pharmacokinetic (PBPK) models in patients with different neuroendocrine tumours (NET) who were treated with Lu-177 DOTATATE. The model utilises clinical data on biodistribution of radiolabeled peptides (RLPs) obtained by whole body scintigraphy (WBS) of the patients. METHODS: The blood flow restricted (perfusion rate limited) type of the PBPK model for biodistribution of radiolabeled peptides (RLPs) in individual human organs is based on the multi-compartment approach, which takes into account the main physiological processes in the organism: absorption, distribution, metabolism and excretion (ADME). The approach calibrates the PBPK model for each patient in order to increase the accuracy of the dose estimation. Datasets obtained using WBS in four patients have been used to obtain the unknown model parameters. The scintigraphic data were acquired using a double head gamma camera in patients with different neuroendocrine tumours who were treated with Lu-177 DOTATATE. The activity administered to each patient was 7400 MBq. RESULTS: Satisfactory agreement of the model predictions with the data obtained from the WBS for each patient has been achieved. CONCLUSION: The study indicates that the PBPK model can be used for more accurate calculation of biodistribution and absorbed doses in patients. This approach is the first attempt of utilizing scintigraphic data in PBPK models, which was obtained during Lu-177 peptide therapy of patients with NET.
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spelling pubmed-49388792016-07-12 Physiologically Based Pharmacokinetic (PBPK) Model for Biodistribution of Radiolabeled Peptides in Patients with Neuroendocrine Tumours Gospavic, Radovan Knoll, Peter Mirzaei, Siroos Popov, Viktor Asia Ocean J Nucl Med Biol Original Article OBJECTIVE(S): The objectives of this work was to assess the benefits of the application of Physiologically Based Pharmacokinetic (PBPK) models in patients with different neuroendocrine tumours (NET) who were treated with Lu-177 DOTATATE. The model utilises clinical data on biodistribution of radiolabeled peptides (RLPs) obtained by whole body scintigraphy (WBS) of the patients. METHODS: The blood flow restricted (perfusion rate limited) type of the PBPK model for biodistribution of radiolabeled peptides (RLPs) in individual human organs is based on the multi-compartment approach, which takes into account the main physiological processes in the organism: absorption, distribution, metabolism and excretion (ADME). The approach calibrates the PBPK model for each patient in order to increase the accuracy of the dose estimation. Datasets obtained using WBS in four patients have been used to obtain the unknown model parameters. The scintigraphic data were acquired using a double head gamma camera in patients with different neuroendocrine tumours who were treated with Lu-177 DOTATATE. The activity administered to each patient was 7400 MBq. RESULTS: Satisfactory agreement of the model predictions with the data obtained from the WBS for each patient has been achieved. CONCLUSION: The study indicates that the PBPK model can be used for more accurate calculation of biodistribution and absorbed doses in patients. This approach is the first attempt of utilizing scintigraphic data in PBPK models, which was obtained during Lu-177 peptide therapy of patients with NET. Asia Oceania Journal of Nuclear Medicine & Biology 2016 /pmc/articles/PMC4938879/ /pubmed/27408897 http://dx.doi.org/10.7508/aojnmb.2016.02.005 Text en Copyright: © 2016 mums.ac.ir http://creativecommons.org/licenses/by/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Gospavic, Radovan
Knoll, Peter
Mirzaei, Siroos
Popov, Viktor
Physiologically Based Pharmacokinetic (PBPK) Model for Biodistribution of Radiolabeled Peptides in Patients with Neuroendocrine Tumours
title Physiologically Based Pharmacokinetic (PBPK) Model for Biodistribution of Radiolabeled Peptides in Patients with Neuroendocrine Tumours
title_full Physiologically Based Pharmacokinetic (PBPK) Model for Biodistribution of Radiolabeled Peptides in Patients with Neuroendocrine Tumours
title_fullStr Physiologically Based Pharmacokinetic (PBPK) Model for Biodistribution of Radiolabeled Peptides in Patients with Neuroendocrine Tumours
title_full_unstemmed Physiologically Based Pharmacokinetic (PBPK) Model for Biodistribution of Radiolabeled Peptides in Patients with Neuroendocrine Tumours
title_short Physiologically Based Pharmacokinetic (PBPK) Model for Biodistribution of Radiolabeled Peptides in Patients with Neuroendocrine Tumours
title_sort physiologically based pharmacokinetic (pbpk) model for biodistribution of radiolabeled peptides in patients with neuroendocrine tumours
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4938879/
https://www.ncbi.nlm.nih.gov/pubmed/27408897
http://dx.doi.org/10.7508/aojnmb.2016.02.005
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