Personalized metronomic radiopharmaceutical therapy through injection profile optimization via physiologically based pharmacokinetic (PBPK) modeling

Abstract Each treatment cycle of radiopharmaceutical therapy (RPT) is administered as a single dose. We aimed to investigate a personalized metronomic RPT paradigm, employing multiple lower-dose administrations, to evaluate its effect on delivering radiopharmaceuticals to tumors. We developed a phys...

Full description

Saved in:
Bibliographic Details
Main Authors: Aryan Golzaryan, M. Soltani, Farshad Moradi Kashkooli, Babak Saboury, Arman Rahmim
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-025-86159-9
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1823862455726505984
author Aryan Golzaryan
M. Soltani
Farshad Moradi Kashkooli
Babak Saboury
Arman Rahmim
author_facet Aryan Golzaryan
M. Soltani
Farshad Moradi Kashkooli
Babak Saboury
Arman Rahmim
author_sort Aryan Golzaryan
collection DOAJ
description Abstract Each treatment cycle of radiopharmaceutical therapy (RPT) is administered as a single dose. We aimed to investigate a personalized metronomic RPT paradigm, employing multiple lower-dose administrations, to evaluate its effect on delivering radiopharmaceuticals to tumors. We developed a physiologically-based pharmacokinetic (PBPK) model applied to metastatic castration-resistant prostate cancer patients to analyze the impact of metronomic framework and various infusion durations (1–4 h) on absorbed doses (ADs) in tumors and organ-at-risk (OAR). We designed a treatment algorithm to select optimal regimens with high AD, while investigating what we term radiopharmaceutical delivery payload (RDP). This metric evaluates the efficiency of radiopharmaceutical delivery by quantifying the proportion of the administered dose that successfully reaches the target tissue. The goal is to optimize trade-offs between RDP and tumors-AD among injection profiles, amongst varying radioactivity (1-22GBq), total radiopharmaceutical mass (25-210nmol), number of injections (2–6), and time intervals (12–36 h) between injections. Our framework applied to five patients led to increased AD between 2 and 358 Gy (between 2 and 146%) higher than normally administered to patients, safeguarding OARs. Using single-dose scenarios to match ADs in metronomic approach, led to significant increase in injected activities, requiring injection of 0 to 9GBq additional activity (reducing RDP by 3–75%). Maintaining total administered radioactivity within clinically therapeutic levels, increasing frequency, time interval, and infusion duration increases tumors and OARs AD by 0.05-73%, while it decreased tumors-to-OARs AD ratios by 0.1–30%. Based on the PBPK modeling approach, metronomic RPT appears to improve efficacy (RDP) in delivered doses to tumors for a given total injected radioactivity.
format Article
id doaj-art-11e10039b7c941b1bb9c2dee054ca276
institution Kabale University
issn 2045-2322
language English
publishDate 2025-02-01
publisher Nature Portfolio
record_format Article
series Scientific Reports
spelling doaj-art-11e10039b7c941b1bb9c2dee054ca2762025-02-09T12:31:19ZengNature PortfolioScientific Reports2045-23222025-02-0115111210.1038/s41598-025-86159-9Personalized metronomic radiopharmaceutical therapy through injection profile optimization via physiologically based pharmacokinetic (PBPK) modelingAryan Golzaryan0M. Soltani1Farshad Moradi Kashkooli2Babak Saboury3Arman Rahmim4Department of Mechanical Engineering, K. N. Toosi University of TechnologyDepartment of Mechanical Engineering, K. N. Toosi University of TechnologyDepartment of Mechanical Engineering, K. N. Toosi University of TechnologyDepartment of Integrative Oncology, BC Cancer Research InstituteDepartment of Integrative Oncology, BC Cancer Research InstituteAbstract Each treatment cycle of radiopharmaceutical therapy (RPT) is administered as a single dose. We aimed to investigate a personalized metronomic RPT paradigm, employing multiple lower-dose administrations, to evaluate its effect on delivering radiopharmaceuticals to tumors. We developed a physiologically-based pharmacokinetic (PBPK) model applied to metastatic castration-resistant prostate cancer patients to analyze the impact of metronomic framework and various infusion durations (1–4 h) on absorbed doses (ADs) in tumors and organ-at-risk (OAR). We designed a treatment algorithm to select optimal regimens with high AD, while investigating what we term radiopharmaceutical delivery payload (RDP). This metric evaluates the efficiency of radiopharmaceutical delivery by quantifying the proportion of the administered dose that successfully reaches the target tissue. The goal is to optimize trade-offs between RDP and tumors-AD among injection profiles, amongst varying radioactivity (1-22GBq), total radiopharmaceutical mass (25-210nmol), number of injections (2–6), and time intervals (12–36 h) between injections. Our framework applied to five patients led to increased AD between 2 and 358 Gy (between 2 and 146%) higher than normally administered to patients, safeguarding OARs. Using single-dose scenarios to match ADs in metronomic approach, led to significant increase in injected activities, requiring injection of 0 to 9GBq additional activity (reducing RDP by 3–75%). Maintaining total administered radioactivity within clinically therapeutic levels, increasing frequency, time interval, and infusion duration increases tumors and OARs AD by 0.05-73%, while it decreased tumors-to-OARs AD ratios by 0.1–30%. Based on the PBPK modeling approach, metronomic RPT appears to improve efficacy (RDP) in delivered doses to tumors for a given total injected radioactivity.https://doi.org/10.1038/s41598-025-86159-9PBPK modelingPersonalized medicineProstate cancerMetronomic radiopharmaceutical therapyTheranostics, ADME
spellingShingle Aryan Golzaryan
M. Soltani
Farshad Moradi Kashkooli
Babak Saboury
Arman Rahmim
Personalized metronomic radiopharmaceutical therapy through injection profile optimization via physiologically based pharmacokinetic (PBPK) modeling
Scientific Reports
PBPK modeling
Personalized medicine
Prostate cancer
Metronomic radiopharmaceutical therapy
Theranostics, ADME
title Personalized metronomic radiopharmaceutical therapy through injection profile optimization via physiologically based pharmacokinetic (PBPK) modeling
title_full Personalized metronomic radiopharmaceutical therapy through injection profile optimization via physiologically based pharmacokinetic (PBPK) modeling
title_fullStr Personalized metronomic radiopharmaceutical therapy through injection profile optimization via physiologically based pharmacokinetic (PBPK) modeling
title_full_unstemmed Personalized metronomic radiopharmaceutical therapy through injection profile optimization via physiologically based pharmacokinetic (PBPK) modeling
title_short Personalized metronomic radiopharmaceutical therapy through injection profile optimization via physiologically based pharmacokinetic (PBPK) modeling
title_sort personalized metronomic radiopharmaceutical therapy through injection profile optimization via physiologically based pharmacokinetic pbpk modeling
topic PBPK modeling
Personalized medicine
Prostate cancer
Metronomic radiopharmaceutical therapy
Theranostics, ADME
url https://doi.org/10.1038/s41598-025-86159-9
work_keys_str_mv AT aryangolzaryan personalizedmetronomicradiopharmaceuticaltherapythroughinjectionprofileoptimizationviaphysiologicallybasedpharmacokineticpbpkmodeling
AT msoltani personalizedmetronomicradiopharmaceuticaltherapythroughinjectionprofileoptimizationviaphysiologicallybasedpharmacokineticpbpkmodeling
AT farshadmoradikashkooli personalizedmetronomicradiopharmaceuticaltherapythroughinjectionprofileoptimizationviaphysiologicallybasedpharmacokineticpbpkmodeling
AT babaksaboury personalizedmetronomicradiopharmaceuticaltherapythroughinjectionprofileoptimizationviaphysiologicallybasedpharmacokineticpbpkmodeling
AT armanrahmim personalizedmetronomicradiopharmaceuticaltherapythroughinjectionprofileoptimizationviaphysiologicallybasedpharmacokineticpbpkmodeling