[Study of the influence of uniform transverse magnetic field on the dose distribution of high energy electron beam using Monte Carlo method].
← Research streamMonte Carlo simulations of a 30 MeV electron beam in a homogeneous water phantom indicated that a uniform transverse magnetic field significantly altered the dose distribution. The electron beam range decreased, a very high dose peak formed at the end of the …
Study snapshot
Abstract
In the present work, Monte Carlo simulations were employed to study the characteristics of the dose distribution of high energy electron beam in the presence of uniform transverse magnetic field. The simulations carried out the transport processes of the 30 MeV electron beam in the homogeneous water phantom with different magnetic field. It was found that the dose distribution of the 30 MeV electron beam had changed significantly because of the magnetic field. The result showed that the range of the electron beam was decreased obviously and it formed a very high dose peak at the end of the range, and the ratio of maximum dose to the dose of the surface was greatly increased. The results of this study demonstrated that we could change the depth dose distribution of electron beam which is analogous to the heavy ion by modulating the energy of the electron and magnetic field. It means that using magnetic fields in conjunction with electron radiation therapy has great application prospect, but it also has brought new challenges for the research of dose algorithm.
AI evidence extraction
Structured fields below were generated from the paper’s abstract and metadata to make the evidence easier to inspect. Automated extraction may be incomplete or incorrect; verify important details against the original paper.
Main findings
Monte Carlo simulations of a 30 MeV electron beam in a homogeneous water phantom indicated that a uniform transverse magnetic field significantly altered the dose distribution. The electron beam range decreased, a very high dose peak formed at the end of the range, and the maximum-to-surface dose ratio increased; the authors suggest depth-dose could be modulated by changing electron energy and magnetic field.
Outcomes measured
- Dose distribution characteristics of a 30 MeV electron beam in water phantom
- Electron beam range in water phantom
- Depth-dose distribution (including end-of-range dose peak and maximum-to-surface dose ratio)
Limitations
- Monte Carlo simulation study (no experimental validation described)
- Only a 30 MeV electron beam in a homogeneous water phantom is described
- Magnetic field strengths/parameters are not specified in the abstract
View raw extracted JSON
{
"study_type": "engineering",
"exposure": {
"band": null,
"source": "uniform transverse magnetic field",
"frequency_mhz": null,
"sar_wkg": null,
"duration": null
},
"population": null,
"sample_size": null,
"outcomes": [
"Dose distribution characteristics of a 30 MeV electron beam in water phantom",
"Electron beam range in water phantom",
"Depth-dose distribution (including end-of-range dose peak and maximum-to-surface dose ratio)"
],
"main_findings": "Monte Carlo simulations of a 30 MeV electron beam in a homogeneous water phantom indicated that a uniform transverse magnetic field significantly altered the dose distribution. The electron beam range decreased, a very high dose peak formed at the end of the range, and the maximum-to-surface dose ratio increased; the authors suggest depth-dose could be modulated by changing electron energy and magnetic field.",
"effect_direction": "mixed",
"limitations": [
"Monte Carlo simulation study (no experimental validation described)",
"Only a 30 MeV electron beam in a homogeneous water phantom is described",
"Magnetic field strengths/parameters are not specified in the abstract"
],
"evidence_strength": "low",
"confidence": 0.74,
"peer_reviewed_likely": "yes",
"keywords": [
"Monte Carlo simulation",
"uniform transverse magnetic field",
"electron beam",
"30 MeV",
"water phantom",
"dose distribution",
"depth-dose",
"radiation therapy"
],
"suggested_hubs": []
}AI-extracted fields are generated from the abstract and metadata and may be incomplete or incorrect. This material is for informational purposes and is not medical advice.
Identifiers and source
DOI: Not supplied
PubMed: 25868258
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