ArticleScientific reports2025
Personalized metronomic radiopharmaceutical therapy through injection profile optimization via physiologically based pharmacokinetic (PBPK) modeling.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- A Spatiotemporal Image-Guided Model of Radiopharmaceutical Transport in Heterogeneous Vasculature Prostate Tumor: A Computational Analysis of Key Parameters in Lutetium-177 PSMA Therapy.Annals of biomedical engineering · 2026Article
- Radiopharmaceuticals: Status, Regulatory Landscape and Future Perspective.AAPS PharmSciTech · 2026Review
- Towards practical radiopharmaceutical treatment planning: a review of dosimetry simplification techniques.Theranostics · 2026Review
- The role of the tumor microenvironment in mediating radiopharmaceutical therapy: bridging nuclear medicine and cancer immunotherapy.Military Medical Research · 2026Review
- Multi-scale computational modeling towards efficacy in radiopharmaceutical therapies while minimizing side effects: Modeling of amino acid infusion.PLoS computational biology · 2025Article
- Theranostic digital twins: Concept, framework and roadmap towards personalized radiopharmaceutical therapies.Theranostics · 2024Review
Corrections and comments
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Authors and funding
5 authors.
Funding
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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 (2
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