Related Experiment Video
Updated: Feb 7, 2026
06:51
Dosimetry for Cell Irradiation using Orthovoltage 40-300 kV X-Ray Facilities
Published on: February 20, 2021
5.6K
Development of Linear Interpolation System for SMK Model Parameters Evaluated from Cellular-Scale Simulation (LISMEC)
Takafumi Shigehira1, Tubasa Watanabe1, Minoru Suzuki1
1Particle Radiation Oncology Research Center, Institute for Integrated Radiation and Nuclear Science, Kyoto University, 2-1010, Asashiro-nishi, Kumatori-cho, Sennan-gun, Osaka 590-0494, Japan.
Journal of Radiation Research
|February 5, 2026
Summary
Boron neutron capture therapy (BNCT) requires precise dosimetry. A new framework, LISMEC, rapidly estimates treatment parameters, improving accuracy by considering boron distribution and cell structures for better patient outcomes.
Area of Science:
- Medical Physics
- Radiation Oncology
- Computational Biology
Background:
- Boron neutron capture therapy (BNCT) relies on high linear energy transfer (LET) particles from the 10B(n, α)7Li reaction.
- Accurate dosimetry is critical for BNCT efficacy and minimizing normal tissue damage, necessitating consideration of microscopic 10B distribution and cellular structures.
- The photon isoeffective dose (DisoE) is a proposed metric for BNCT planning, evaluated using the stochastic microdosimetric kinetic (SMK) model.
Purpose of the Study:
- To develop a rapid estimation framework for Stochastic Microdosimetric Kinetic (SMK) model parameters used in BNCT treatment planning.
- To overcome the computational challenges associated with traditional cellular-scale radiation transport simulations for SMK parameter evaluation.
- To enhance the clinical applicability of the SMK model by simplifying parameter acquisition.
Main Methods:
- Developed LISMEC (Linear Interpolation System for Stochastic Microdosimetric Kinetic model parameters Evaluated from Cellular-scale simulation), a framework utilizing precomputed cellular-scale PHITS (Particle and Heavy Ion Transport code System) simulations.
- Employed a linear interpolation algorithm within LISMEC to retrieve SMK model parameters efficiently.
- Validated LISMEC by simulating various irradiation scenarios in reactor-based BNCT, comparing results with PHITS.
Main Results:
- LISMEC successfully enabled rapid estimation of SMK model parameters without computationally intensive simulations.
- Simulated DisoE values varied significantly (7.4 to 32.7 Gy) even with a fixed macroscopic 10B concentration, highlighting the impact of microscopic distribution.
- Demonstrated the utility of LISMEC in conjunction with PHITS for BNCT treatment planning simulations.
Conclusions:
- LISMEC provides a computationally efficient method for obtaining essential parameters for the SMK model in BNCT.
- The study underscores the critical importance of accounting for the microscopic distribution of 10B and cellular structures in BNCT dosimetry.
- LISMEC facilitates improved BNCT treatment planning by enabling more accurate and rapid dosimetry calculations.
More Related Videos
05:47Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
Published on: August 29, 2025
448
04:35Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
Published on: July 3, 2020
3.8K
Related Concept Videos
01:29Application of Linearization and Approximation
94
A drone flying through complex terrain often relies on more than one sensing method to estimate small changes in altitude. Along with direct measurements, air pressure provides a useful indirect indicator of vertical movement. Atmospheric pressure decreases as altitude increases, and this relationship is commonly described using an exponential model. Although accurate, converting pressure measurements into altitude values requires calculations that are too complex to perform repeatedly during...
94
01:15Application of the Linear Momentum Equation
430
The application of the linear momentum equation can be used to analyze the forces needed to hold a 180-degree pipe bend in place with flowing water. In this case, water flows through the bend with a constant cross-sectional area of 0.01 square meters and a flow velocity of 15 meters per second. The pressure at the entrance is 0.2 Megapascals and the pressure at the exit is 0.16 Megapascals.
The goal is to determine the force components in the x and y directions to hold the pipe in place. Since...
The goal is to determine the force components in the x and y directions to hold the pipe in place. Since...
430
01:26Application of Antiderivatives: Linear Motion
64
A derivative describes how one quantity changes with respect to another, such as how velocity changes over time. The reverse process, which recovers a quantity from its rate of change, is known as integration. In physics, integration is fundamental because it links related physical quantities, allowing acceleration, velocity, and displacement to be understood as connected aspects of motion.Consider a car traveling at a steady speed of 20 meters per second when an obstacle appears 800 meters...
64
01:10Reconstruction of Signal using Interpolation
735
Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
735
02:41pH Scale
80.0K
Hydronium and hydroxide ions are present both in pure water and in all aqueous solutions, and their concentrations are inversely proportional as determined by the ion product of water (Kw). The concentrations of these ions in a solution are often critical determinants of the solution’s properties and the chemical behaviors of its other solutes. Two different solutions can differ in their hydronium or hydroxide ion concentrations by a million, billion, or even trillion times. A common means of...
80.0K
01:06Model Approaches for Pharmacokinetic Data: Distributed Parameter Models
249
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
249