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177Lu-DOTA-0-Tyr3-octreotate infusion modeling for real-time detection and characterization of extravasation during PRRT

PURPOSE: Given the recent and rapid development of peptide receptor radionuclide therapy (PRRT), increasing emphasis should be placed on the early identification and quantification of therapeutic radiopharmaceutical (thRPM) extravasation during intravenous administration. Herein, we provide an analy...

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Autores principales: Mazzara, Christophe, Salvadori, Julien, Ritzenthaler, Florian, Martin, Simon, Porot, Clémence, Imperiale, Alessio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9065226/
https://www.ncbi.nlm.nih.gov/pubmed/35503186
http://dx.doi.org/10.1186/s40658-022-00466-y
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author Mazzara, Christophe
Salvadori, Julien
Ritzenthaler, Florian
Martin, Simon
Porot, Clémence
Imperiale, Alessio
author_facet Mazzara, Christophe
Salvadori, Julien
Ritzenthaler, Florian
Martin, Simon
Porot, Clémence
Imperiale, Alessio
author_sort Mazzara, Christophe
collection PubMed
description PURPOSE: Given the recent and rapid development of peptide receptor radionuclide therapy (PRRT), increasing emphasis should be placed on the early identification and quantification of therapeutic radiopharmaceutical (thRPM) extravasation during intravenous administration. Herein, we provide an analytical model of (177)Lu-DOTA0-Tyr3-octreotate (Lutathera(®)) infusion for real-time detection and characterization of thRPM extravasation. METHODS: For 33 Lutathera(®)-based PRRT procedures using the gravity infusion method, equivalent dose rates (EDRs) were monitored at the patient’s arm. Models of flow dynamics for nonextravasated and extravasated infusions were elaborated and compared to experimental data through an equivalent dose rate calibration. Nonextravasated infusion was modeled by assuming constant volume dilution of (177)Lu activity concentration in the vial and Poiseuille-like laminar flow through the tubing and patient vein. Extravasated infusions were modeled according to their onset times by considering elliptically shaped extravasation region with different aspect ratios. RESULTS: Over the 33 procedures, the peak of the median EDR was reached 14 min after the start of the infusion with a value of 450 µSv h(−1). On the basis of experimental measurements, 1 mSv h(−1) was considered the empirical threshold for Lutathera(®) extravasation requiring cessation of the infusion and start again with a new route of injection. According to our model, the concentration of extravascular activity was directly related to the time of extravasation onset and its duration, a finding inherent in the gravity infusion method. This result should be considered when planning therapeutic strategy in the case of RPM extravasation because the local absorbed dose for β-emitters is closely linked to activity concentration. For selected EDR values, charts of extravasated activity, volume, and activity concentration were computed for extravasation characterization. CONCLUSION: We proposed an analytical model of Lutathera(®) infusion and extravasation (gravity method) based on EDR monitoring. This approach could be useful for the early detection of thRPM extravasation and for the real-time assessment of activity concentration and volume accumulation in the extravascular medium.
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spelling pubmed-90652262022-05-07 177Lu-DOTA-0-Tyr3-octreotate infusion modeling for real-time detection and characterization of extravasation during PRRT Mazzara, Christophe Salvadori, Julien Ritzenthaler, Florian Martin, Simon Porot, Clémence Imperiale, Alessio EJNMMI Phys Original Research PURPOSE: Given the recent and rapid development of peptide receptor radionuclide therapy (PRRT), increasing emphasis should be placed on the early identification and quantification of therapeutic radiopharmaceutical (thRPM) extravasation during intravenous administration. Herein, we provide an analytical model of (177)Lu-DOTA0-Tyr3-octreotate (Lutathera(®)) infusion for real-time detection and characterization of thRPM extravasation. METHODS: For 33 Lutathera(®)-based PRRT procedures using the gravity infusion method, equivalent dose rates (EDRs) were monitored at the patient’s arm. Models of flow dynamics for nonextravasated and extravasated infusions were elaborated and compared to experimental data through an equivalent dose rate calibration. Nonextravasated infusion was modeled by assuming constant volume dilution of (177)Lu activity concentration in the vial and Poiseuille-like laminar flow through the tubing and patient vein. Extravasated infusions were modeled according to their onset times by considering elliptically shaped extravasation region with different aspect ratios. RESULTS: Over the 33 procedures, the peak of the median EDR was reached 14 min after the start of the infusion with a value of 450 µSv h(−1). On the basis of experimental measurements, 1 mSv h(−1) was considered the empirical threshold for Lutathera(®) extravasation requiring cessation of the infusion and start again with a new route of injection. According to our model, the concentration of extravascular activity was directly related to the time of extravasation onset and its duration, a finding inherent in the gravity infusion method. This result should be considered when planning therapeutic strategy in the case of RPM extravasation because the local absorbed dose for β-emitters is closely linked to activity concentration. For selected EDR values, charts of extravasated activity, volume, and activity concentration were computed for extravasation characterization. CONCLUSION: We proposed an analytical model of Lutathera(®) infusion and extravasation (gravity method) based on EDR monitoring. This approach could be useful for the early detection of thRPM extravasation and for the real-time assessment of activity concentration and volume accumulation in the extravascular medium. Springer International Publishing 2022-05-03 /pmc/articles/PMC9065226/ /pubmed/35503186 http://dx.doi.org/10.1186/s40658-022-00466-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Research
Mazzara, Christophe
Salvadori, Julien
Ritzenthaler, Florian
Martin, Simon
Porot, Clémence
Imperiale, Alessio
177Lu-DOTA-0-Tyr3-octreotate infusion modeling for real-time detection and characterization of extravasation during PRRT
title 177Lu-DOTA-0-Tyr3-octreotate infusion modeling for real-time detection and characterization of extravasation during PRRT
title_full 177Lu-DOTA-0-Tyr3-octreotate infusion modeling for real-time detection and characterization of extravasation during PRRT
title_fullStr 177Lu-DOTA-0-Tyr3-octreotate infusion modeling for real-time detection and characterization of extravasation during PRRT
title_full_unstemmed 177Lu-DOTA-0-Tyr3-octreotate infusion modeling for real-time detection and characterization of extravasation during PRRT
title_short 177Lu-DOTA-0-Tyr3-octreotate infusion modeling for real-time detection and characterization of extravasation during PRRT
title_sort 177lu-dota-0-tyr3-octreotate infusion modeling for real-time detection and characterization of extravasation during prrt
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9065226/
https://www.ncbi.nlm.nih.gov/pubmed/35503186
http://dx.doi.org/10.1186/s40658-022-00466-y
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