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

BACKGROUND: Peptide receptor radionuclide therapy (PRRT) plays an important role in the treatment of neuroendocrine tumors (NET). Pre-therapeutic dosimetry using the area under the measured time-activity curve (AUC) is important. The sampling schedule for this dosimetry determines the accuracy and r...

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Autores principales: Maaß, Christian, Sachs, Jan Philipp, Hardiansyah, Deni, Mottaghy, Felix M., Kletting, Peter, Glatting, Gerhard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2016
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4808073/
https://www.ncbi.nlm.nih.gov/pubmed/27015662
http://dx.doi.org/10.1186/s13550-016-0185-8
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author Maaß, Christian
Sachs, Jan Philipp
Hardiansyah, Deni
Mottaghy, Felix M.
Kletting, Peter
Glatting, Gerhard
author_facet Maaß, Christian
Sachs, Jan Philipp
Hardiansyah, Deni
Mottaghy, Felix M.
Kletting, Peter
Glatting, Gerhard
author_sort Maaß, Christian
collection PubMed
description BACKGROUND: Peptide receptor radionuclide therapy (PRRT) plays an important role in the treatment of neuroendocrine tumors (NET). Pre-therapeutic dosimetry using the area under the measured time-activity curve (AUC) is important. The sampling schedule for this dosimetry determines the accuracy and reliability of the obtained AUC. The aim of this study was to investigate the effect of reduced number of measurement points (i.e., gamma camera image acquisition or serum measurements) on treatment planning accuracy in PRRT using (111)In-labeled-diethylenetriaminopentaacetic acid-octreotide (DTPAOC; Octreoscan™). METHODS: Pre-therapeutic biokinetic data of 15 NET patients were investigated using a recently developed physiologically based pharmacokinetic (PBPK) model. Two parameter sets were determined (standard or iterative approach) and used for calculation of time-integrated activity coefficients (TIACs) for the tumor, kidneys, liver, spleen, serum, and whole body. TIACs obtained using the full data sets were used as reference. To evaluate the effect of sampling on individual treatment planning, reduced sampling schedules were generated omitting either 1, 2, 3, or 4 organ and serum measurements or all serum measurements for each patient. Relative deviations (RDs) between these and reference TIACs were calculated and used as criterion for treatment planning accuracy. An RD < 0.1 was considered acceptable. RESULTS: When omitting serum measurements, TIAC accuracy remained acceptable (RD < 0.1) for the standard approach. The kidney TIACs could be estimated for both approaches with acceptable RDs using two time points (t = 4 h; 2 d); tumor RDs were <0.3. The iterative approach reduced the range of RD, but did not further reduce the number of needed measurement points (i.e., to achieve an RD <0.1). For both approaches RDs for liver, spleen and whole body were larger than 0.1. However, in the clinical setting these RDs are less relevant as liver and spleen are not organs at risk due to the low absorbed doses. CONCLUSIONS: When using a priori information of a PBPK model structure combined with Bayesian information about PBPK model parameter distribution, the administered activity could be determined with acceptable accuracy using only two time points (4 h, 2 d) and thus allow a considerable reduction of needed data for individual dosimetry.
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spelling pubmed-48080732016-04-09 Dependence of treatment planning accuracy in peptide receptor radionuclide therapy on the sampling schedule Maaß, Christian Sachs, Jan Philipp Hardiansyah, Deni Mottaghy, Felix M. Kletting, Peter Glatting, Gerhard EJNMMI Res Original Research BACKGROUND: Peptide receptor radionuclide therapy (PRRT) plays an important role in the treatment of neuroendocrine tumors (NET). Pre-therapeutic dosimetry using the area under the measured time-activity curve (AUC) is important. The sampling schedule for this dosimetry determines the accuracy and reliability of the obtained AUC. The aim of this study was to investigate the effect of reduced number of measurement points (i.e., gamma camera image acquisition or serum measurements) on treatment planning accuracy in PRRT using (111)In-labeled-diethylenetriaminopentaacetic acid-octreotide (DTPAOC; Octreoscan™). METHODS: Pre-therapeutic biokinetic data of 15 NET patients were investigated using a recently developed physiologically based pharmacokinetic (PBPK) model. Two parameter sets were determined (standard or iterative approach) and used for calculation of time-integrated activity coefficients (TIACs) for the tumor, kidneys, liver, spleen, serum, and whole body. TIACs obtained using the full data sets were used as reference. To evaluate the effect of sampling on individual treatment planning, reduced sampling schedules were generated omitting either 1, 2, 3, or 4 organ and serum measurements or all serum measurements for each patient. Relative deviations (RDs) between these and reference TIACs were calculated and used as criterion for treatment planning accuracy. An RD < 0.1 was considered acceptable. RESULTS: When omitting serum measurements, TIAC accuracy remained acceptable (RD < 0.1) for the standard approach. The kidney TIACs could be estimated for both approaches with acceptable RDs using two time points (t = 4 h; 2 d); tumor RDs were <0.3. The iterative approach reduced the range of RD, but did not further reduce the number of needed measurement points (i.e., to achieve an RD <0.1). For both approaches RDs for liver, spleen and whole body were larger than 0.1. However, in the clinical setting these RDs are less relevant as liver and spleen are not organs at risk due to the low absorbed doses. CONCLUSIONS: When using a priori information of a PBPK model structure combined with Bayesian information about PBPK model parameter distribution, the administered activity could be determined with acceptable accuracy using only two time points (4 h, 2 d) and thus allow a considerable reduction of needed data for individual dosimetry. Springer Berlin Heidelberg 2016-03-25 /pmc/articles/PMC4808073/ /pubmed/27015662 http://dx.doi.org/10.1186/s13550-016-0185-8 Text en © Maaß et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Research
Maaß, Christian
Sachs, Jan Philipp
Hardiansyah, Deni
Mottaghy, Felix M.
Kletting, Peter
Glatting, Gerhard
Dependence of treatment planning accuracy in peptide receptor radionuclide therapy on the sampling schedule
title Dependence of treatment planning accuracy in peptide receptor radionuclide therapy on the sampling schedule
title_full Dependence of treatment planning accuracy in peptide receptor radionuclide therapy on the sampling schedule
title_fullStr Dependence of treatment planning accuracy in peptide receptor radionuclide therapy on the sampling schedule
title_full_unstemmed Dependence of treatment planning accuracy in peptide receptor radionuclide therapy on the sampling schedule
title_short Dependence of treatment planning accuracy in peptide receptor radionuclide therapy on the sampling schedule
title_sort dependence of treatment planning accuracy in peptide receptor radionuclide therapy on the sampling schedule
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4808073/
https://www.ncbi.nlm.nih.gov/pubmed/27015662
http://dx.doi.org/10.1186/s13550-016-0185-8
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