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Influence of sampling schedules on [(177)Lu]Lu-PSMA dosimetry

BACKGROUND: Individualized dosimetry is recommended for [(177)Lu]Lu-PSMA radioligand therapy (RLT) which is resource-intensive and protocols are often not optimized. Therefore, a simulation study was performed focusing on the determination of efficient optimal sampling schedules (OSS) for renal and...

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Autores principales: Rinscheid, Andreas, Kletting, Peter, Eiber, Matthias, Beer, Ambros J., Glatting, Gerhard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7300169/
https://www.ncbi.nlm.nih.gov/pubmed/32556844
http://dx.doi.org/10.1186/s40658-020-00311-0
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author Rinscheid, Andreas
Kletting, Peter
Eiber, Matthias
Beer, Ambros J.
Glatting, Gerhard
author_facet Rinscheid, Andreas
Kletting, Peter
Eiber, Matthias
Beer, Ambros J.
Glatting, Gerhard
author_sort Rinscheid, Andreas
collection PubMed
description BACKGROUND: Individualized dosimetry is recommended for [(177)Lu]Lu-PSMA radioligand therapy (RLT) which is resource-intensive and protocols are often not optimized. Therefore, a simulation study was performed focusing on the determination of efficient optimal sampling schedules (OSS) for renal and tumour dosimetry by investigating different numbers of time points (TPs). METHODS: Sampling schedules with 1–4 TPs were investigated. Time-activity curves of the kidneys and two tumour lesions were generated based on a physiologically based pharmacokinetic (PBPK) model and biokinetic data of 13 patients who have undergone [(177)Lu]Lu-PSMA I&T therapy. Systematic and stochastic noise of different ratios was considered when modelling time-activity data sets. Time-integrated activity coefficients (TIACs) were estimated by simulating the hybrid planar/SPECT method for schedules comprising at least two TPs. TIACs based on one single SPECT/CT measurement were estimated using an approximation for reducing the number of fitted parameters. For each sampling schedule, the root-mean-squared error (RMSE) of the deviations of the simulated TIACs from the ground truths for 1000 replications was used as a measure for accuracy and precision. RESULTS: All determined OSS included a late measurement at 192 h p.i., which was necessary for accurate and precise tumour TIACs. OSS with three TPs were identified to be 3–4, 96–100 and 192 h with an additional SPECT/CT measurement at the penultimate TP. Kidney and tumour RMSE of 6.4 to 7.7% and 6.3 to 7.8% were obtained, respectively. Shortening the total time for dosimetry to e.g. 96 h resulted in kidney and tumour RMSE of 6.8 to 8.3% and 9.1 to 11%, respectively. OSS with four TPs showed similar results as with three TPs. Planar images at 4 and 68 h and a SPECT/CT shortly after the 68 h measurement led to kidney and tumour RMSE of 8.4 to 12% and 12 to 16%, respectively. One single SPECT/CT measurement at 52 h yielded good approximations for the kidney TIACs (RMSE of 7.0%), but led to biased tumour TIACs. CONCLUSION: OSS allow improvements in accuracy and precision of renal and tumour dosimetry for [(177)Lu]Lu-PSMA therapy with potentially less effort. A late TP is important regarding accurate tumour TIACs.
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spelling pubmed-73001692020-06-22 Influence of sampling schedules on [(177)Lu]Lu-PSMA dosimetry Rinscheid, Andreas Kletting, Peter Eiber, Matthias Beer, Ambros J. Glatting, Gerhard EJNMMI Phys Original Research BACKGROUND: Individualized dosimetry is recommended for [(177)Lu]Lu-PSMA radioligand therapy (RLT) which is resource-intensive and protocols are often not optimized. Therefore, a simulation study was performed focusing on the determination of efficient optimal sampling schedules (OSS) for renal and tumour dosimetry by investigating different numbers of time points (TPs). METHODS: Sampling schedules with 1–4 TPs were investigated. Time-activity curves of the kidneys and two tumour lesions were generated based on a physiologically based pharmacokinetic (PBPK) model and biokinetic data of 13 patients who have undergone [(177)Lu]Lu-PSMA I&T therapy. Systematic and stochastic noise of different ratios was considered when modelling time-activity data sets. Time-integrated activity coefficients (TIACs) were estimated by simulating the hybrid planar/SPECT method for schedules comprising at least two TPs. TIACs based on one single SPECT/CT measurement were estimated using an approximation for reducing the number of fitted parameters. For each sampling schedule, the root-mean-squared error (RMSE) of the deviations of the simulated TIACs from the ground truths for 1000 replications was used as a measure for accuracy and precision. RESULTS: All determined OSS included a late measurement at 192 h p.i., which was necessary for accurate and precise tumour TIACs. OSS with three TPs were identified to be 3–4, 96–100 and 192 h with an additional SPECT/CT measurement at the penultimate TP. Kidney and tumour RMSE of 6.4 to 7.7% and 6.3 to 7.8% were obtained, respectively. Shortening the total time for dosimetry to e.g. 96 h resulted in kidney and tumour RMSE of 6.8 to 8.3% and 9.1 to 11%, respectively. OSS with four TPs showed similar results as with three TPs. Planar images at 4 and 68 h and a SPECT/CT shortly after the 68 h measurement led to kidney and tumour RMSE of 8.4 to 12% and 12 to 16%, respectively. One single SPECT/CT measurement at 52 h yielded good approximations for the kidney TIACs (RMSE of 7.0%), but led to biased tumour TIACs. CONCLUSION: OSS allow improvements in accuracy and precision of renal and tumour dosimetry for [(177)Lu]Lu-PSMA therapy with potentially less effort. A late TP is important regarding accurate tumour TIACs. Springer International Publishing 2020-06-17 /pmc/articles/PMC7300169/ /pubmed/32556844 http://dx.doi.org/10.1186/s40658-020-00311-0 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Original Research
Rinscheid, Andreas
Kletting, Peter
Eiber, Matthias
Beer, Ambros J.
Glatting, Gerhard
Influence of sampling schedules on [(177)Lu]Lu-PSMA dosimetry
title Influence of sampling schedules on [(177)Lu]Lu-PSMA dosimetry
title_full Influence of sampling schedules on [(177)Lu]Lu-PSMA dosimetry
title_fullStr Influence of sampling schedules on [(177)Lu]Lu-PSMA dosimetry
title_full_unstemmed Influence of sampling schedules on [(177)Lu]Lu-PSMA dosimetry
title_short Influence of sampling schedules on [(177)Lu]Lu-PSMA dosimetry
title_sort influence of sampling schedules on [(177)lu]lu-psma dosimetry
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7300169/
https://www.ncbi.nlm.nih.gov/pubmed/32556844
http://dx.doi.org/10.1186/s40658-020-00311-0
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