Academic Journal
An analytical framework for efficient and precision-controlled Monte Carlo simulation of heterogeneous targeted alpha therapy microdosimetry.
| Τίτλος: | An analytical framework for efficient and precision-controlled Monte Carlo simulation of heterogeneous targeted alpha therapy microdosimetry. |
|---|---|
| Συγγραφείς: | Zhu J; School of Nuclear Science and Technology, University of Science and Technology of China, Hefei, China., Cao S; School of Nuclear Science and Technology, University of Science and Technology of China, Hefei, China., Li X; School of Nuclear Science and Technology, University of Science and Technology of China, Hefei, China., Qi Y; Division of Ionizing Radiation Metrology, National Institute of Metrology, Beijing, China., Chen Z; School of Nuclear Science and Technology, University of Science and Technology of China, Hefei, China. |
| Πηγή: | Medical physics [Med Phys] 2026 Aug; Vol. 53 (8), pp. e70598. |
| Τύπος έκδοσης: | Journal Article |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: John Wiley and Sons, Inc Country of Publication: United States NLM ID: 0425746 Publication Model: Print Cited Medium: Internet ISSN: 2473-4209 (Electronic) Linking ISSN: 00942405 NLM ISO Abbreviation: Med Phys Subsets: MEDLINE |
| Imprint Name(s): | Publication: 2017- : Hoboken, NJ : John Wiley and Sons, Inc. Original Publication: Lancaster, Pa., Published for the American Assn. of Physicists in Medicine by the American Institute of Physics. |
| Ιατρικοί όροι (MeSH): | Alpha Particles*/therapeutic use , Radiometry*/methods , Monte Carlo Method* |
| Περίληψη: | Background: Dosimetric studies of targeted alpha therapy (TAT) show that microscopic heterogeneity in geometry and source distribution strongly affects dose-effect relationships, underscoring the potential of microdosimetry. While Monte Carlo (MC) simulation is the gold standard for dose assessment, its application to TAT microdosimetry remains methodologically challenging and computationally inefficient. This necessitates a systematic and implementable methodology for microdosimetric simulation and analysis. Purpose: This study aimed to establish a quantitative MC simulation framework for TAT microdosimetry, in which heterogeneous conditions are analytically processed and Type A standard uncertainty of derived microdosimetric quantities can be estimated. Methods: (1) Elementary-source events were defined under arbitrary microscopic conditions, and the raw moments of single-event microdosimetric quantities scored via MC simulation were identified for each event. The heterogeneous microdosimetric environments were modeled as weighted mixtures of elementary events. (2) Analytical error propagation was derived to explicitly quantify the standard error (SE) of mixture quantities. This enables, for the first time, a trace-back mechanism to identify error-dominating source components for optimized resource allocation. (3) A long-range radiation correction for INLINEMATH -emitting nuclides was developed to bridge microscopic energy deposition with macroscopic absorbed dose, enabling the acquisition of reliable results under affordable computational resources. Results: A Geant4-based application implemented the framework in heterogeneous microscopic models. The validation against repeated direct sampling demonstrated consistency between the mixture framework and conventional repeated direct simulation. Subsequently, the MC SE of single-event dose-mean specific energy was adopted as the convergence criterion for simulation. Long-range radiation effects were effectively compensated, relaxing spatial-extent requirements for TAT MC geometries. The source-mixture scheme allowed reuse of elementary microdosimetric data, supporting efficient factor analysis for diverse heterogeneous conditions. Coupled with cell-line parameters and the non-Poisson-corrected microdosimetric kinetic model, the analytic results yielded dose-response characteristics consistent with prior studies of TAT. Conclusions: The framework enables trace-back variance analysis and microdosimetry-compatible variance reduction. This enables precision-controlled MC microdosimetry in TAT, and supports flexible analysis of heterogeneity factors and reliable microdosimetric assessment. (© 2026 American Association of Physicists in Medicine.) |
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| Grant Information: | BB2140000022 Open Fund of Shanxi Provincial Key Laboratory for Translational Nuclear Medicine and Precision Protection; 2408085MA013 Natural Science Foundation of Anhui Province |
| Contributed Indexing: | Keywords: Monte Carlo method; microdosimetry; microscopic heterogeneity; relative biological effectiveness; targeted alpha therapy |
| Entry Date(s): | Date Created: 20260722 Date Completed: 20260722 Latest Revision: 20260813 |
| Update Code: | 20260814 |
| PubMed Central ID: | PMC13389354 |
| DOI: | 10.1002/mp.70598 |
| PMID: | 42482461 |
| Βάση Δεδομένων: | MEDLINE |
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