ArticlePloS one2017
Conversion coefficients for determination of dispersed photon dose during radiotherapy: NRUrad input code for MCNP.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- On the effectiveness of proton boron fusion therapy (PBFT) at cellular level.Scientific reports · 2022Article
- Development of PHITS graphical user interface for simulation of positron emitting radioisotopes production in common biological materials during proton therapy.Journal of radiation research · 2022Article
- A comparative study on dispersed doses during photon and proton radiation therapy in pediatric applications.PloS one · 2021Article
- MCHP (Monte Carlo + Human Phantom): Platform to facilitate teaching nuclear radiation physics.PloS one · 2021Article
- Radiation Dosimetry of Inhaled Radioactive Aerosols: CFPD and MCNP Transport Simulations of Radionuclides in the Lung.Scientific reports · 2019Article
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Authors and funding
5 authors.
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Abstract
Radiotherapy is a common cancer treatment module, where a certain amount of dose will be delivered to the targeted organ. This is achieved usually by photons generated by linear accelerator units. However, radiation scattering within the patient's body and the surrounding environment will lead to dose dispersion to healthy tissues which are not targets of the primary radiation. Determination of the dispersed dose would be important for assessing the risk and biological consequences in different organs or tissues. In the present work, the concept of conversion coefficient (F) of the dispersed dose was developed, in which F = (Dd/Dt), where Dd was the dispersed dose in a non-targeted tissue and Dt is the absorbed dose in the targeted tissue. To quantify Dd and Dt, a comprehensive model was developed using the Monte Carlo N-Particle (MCNP) package to simulate the linear accelerator head, the human phantom, the treatment couch and the radiotherapy treatment room. The present work also demonstrated the feasibility and power of parallel computing through the use of the Message Passing Interface (MPI) version of MCNP5.
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