346 - Development of a Composite Microdosimetric Kinetic Model (C-MKM) Incorporating Subcellular 10 B Heterogeneity for BNCT
Presenter(s)
W. Hu, Y. Chen, and W. Zhuo; Institute of Radiation Medicine, Fudan University, Shanghai, China
Purpose/Objective(s): In boron neutron capture therapy (BNCT), subcellular 10B distribution critically shapes microscale energy deposition and thus tumor cell kill. However, few biophysical models for compound biological effectiveness (CBE) explicitly account for this subcellular 10B heterogeneity. To address this gap, we introduce a subcellular 10B heterogeneity-aware, microdosimetry-driven CBE model that enables quantitative estimation of BNCT radiobiological effectiveness.
Materials/Methods: Since subcellular 10B heterogeneity modulates microdosimetric spectra and thus CBE, we built a simulation toolkit-based cellular geometry and simulation pipeline to quantify these effects. Specifically, we constructed a 3×3×3 cellular voxel matrix (cell radius 5 µm; nuclear radius 2.5 µm; membrane thickness 8 nm) and modeled intracellular 10B as concentric cytoplasmic shells spanning from the nuclear boundary to the cell membrane, with a uniform extracellular 10B background. The cytoplasm was discretized into 10 radial shells (0.25 µm each) to compute shell-specific microdosimetric spectra. We then quantified the effective fraction of a and 7Li tracks entering the nucleus, used it to redefine the lineal-energy spectrum f(y), and incorporated this redefined f(y) into the standard microdosimetric kinetic model (MKM) to formulate the Composite MKM (C-MKM). Finally, C-MKM was used to compute CBE for 10B distributions of common boron carriers (e.g., BPA, BSH) and validated against published experimental and previous single-scenario simulation results.
Results: We constructed a database of microdosimetric spectra and effective particle fluence coefficients across shell-specific subcellular 10B distributions. The dose-mean lineal energy yD ranged from 21.1 to 22.6 keV/µm, while the effective particle fluence coefficients for a particles and 7Li ions ranged from 4.26×10-5 to 1.76×10-4. For HSG cells, C-MKM-calculated CBE values were 2.61 (BPA) and 1.26 (BSH) at 10% survival fraction, and 3.69 (BPA) and 1.78 (BSH) at 50% survival fraction. These estimates (Table 1) closely agree with prior simulation and experimental results, validating the proposed model.
Conclusion: The proposed C-MKM enables microscale CBE estimation by linking radial 10B distributions to microdosimetric spectra and cell-survival modeling. By integrating subcellular 10B heterogeneity, this framework improves BNCT biological dose evaluation and interpretability. It enables quantitative boron-carrier comparisons (e.g., BPA vs. BSH) and provides a mechanistic basis for BNCT treatment planning.
Abstract 346 - Table 1: CBE values for BPA and BSH computed with C-MKM, Compared with Published Experimental and Previous Single-Scenario Simulation Results| Condition | Source | CBE(BPA) | CBE(BSH) |
| 10% survival fraction | This work | 2.61 | 1.26 |
| single-scenario simulation (Mingzhu Li et al) | 2.55 | 1.24 | |
| 50% survival fraction | This work | 3.69 | 1.78 |
| single-scenario simulation (Mingzhu Li et al) | 3.60 | 1.77 | |
| Experiment results | 3.80 | 2.50 |