scholarly journals Estimating statistical uncertainty of Monte Carlo efficiency-gain in the context of a correlated sampling Monte Carlo code for brachytherapy treatment planning with non-normal dose distribution

2012 ◽  
Vol 70 (1) ◽  
pp. 315-323
Author(s):  
Nitai D. Mukhopadhyay ◽  
Andrew J. Sampson ◽  
Daniel Deniz ◽  
Gudrun Alm Carlsson ◽  
Jeffrey Williamson ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Treatment Planning ◽  
Dose Distribution ◽  
Monte Carlo Code ◽  
Statistical Uncertainty ◽  
Efficiency Gain ◽  
Normal Dose ◽  
Correlated Sampling

scholarly journals Application of Monte-Carlo Code to dose distribution calculation in a case of lung cancer by the emitted photon beams from Linear Accelerator

2015 ◽  
Vol 5 (4) ◽  
pp. 39-44
Author(s):  
Thanh Xuan Le ◽  
Cam Thu Nguyen Thi ◽  
Van Nghia Tran ◽  
Hong Loan Truong Thi ◽  
Thanh Nhon Vo
Keyword(s):  
Lung Cancer ◽  
Monte Carlo ◽  
General Hospital ◽  
Treatment Planning ◽  
Dose Distribution ◽  
Linear Accelerator ◽  
Treatment Plan ◽  
Monte Carlo Code ◽  
Photon Beams ◽  
Distribution Calculation

The dose distribution calculation is one of the major steps in radiotherapy. In this paper the Monte Carlo code MCNP5 has been applied for simulation 15MV photon beams emitted from linear accelerator in a case of lung cancer of the General Hospital of Kien Giang. The settings for beam directions, field sizes and isocenter position used in MCNP5 must be the same as those in treatment plan at the hospital to ensure the results from MCNP5 are accurate. We also built a program CODIM by using MATLAB­® programming software. This program was used to construct patient model from lung CT images obtained from cancer treatment cases at the General Hospital of Kien Giang and then MCNP5 code was used to simulate the delivered dose in the patient. The results from MCNP5 show that there is a difference of 5% in comparison with Prowess Panther program – a semi-empirical simulation program which is being used for treatment planning in the General Hospital of Kien Giang. The success of the work will help the planners to verify the patient dose distribution calculated from the treatment planning program being used at the hospital.

TH-E-224C-03: Implementation of Monte Carlo Code VMC++ for Photon Beam Treatment Planning

2006 ◽  
Vol 33 (6Part23) ◽  
pp. 2293-2293
Author(s):  
L Tillikainen ◽  
S Siljamäki
Keyword(s):  
Monte Carlo ◽  
Treatment Planning ◽  
Photon Beam ◽  
Monte Carlo Code

DOSE DISTRIBUTION CALCULATION IN SKIN CANCER TREATMENT USING LEIPZIG APPLICATOR

2010 ◽  
Vol 24 (05) ◽  
pp. 599-604
Author(s):  
ALI ASGHAR MOWLAWI ◽  
MAJED YAZDANI
Keyword(s):  
Monte Carlo ◽  
Skin Cancer ◽  
Cancer Treatment ◽  
Dose Distribution ◽  
Ionization Chamber ◽  
Monte Carlo Code ◽  
Tumor Treatment ◽  
Beneficial Effects ◽  
Treatment Planning Systems ◽  
Distribution Calculation

The combination of 192 Ir seed with the Leipzig applicators is used in a considerable number of clinical trials for skin cancer treatment. As is known, the beneficial effects of ionizing radiation for tumor treatment depends on the dosimetry accuracy. Nowadays, dosimetry calculations are supported by the characteristics provided by the manufacturer, which have been obtained from measurements with an ionization chamber in a phantom. Despite their benefit, the experimental data involves errors related to the positioning, energy, and angular dependence of the detectors. Thus, in order to get a detailed and more accurate dosimetry, the Monte Carlo code MCNP4C2 — Monte Carlo Neutron Particle, 4C2 version — has been employed to analyze the dose distribution in depth and at the surface in the skin cancer treatment using Leipzig applicators. On the other hand, some different measurements have been taken to validate the method and compare results. The results for this material of phantom (the skin with 0.5 cm thick over infinite soft tissue) can be used in treatment planning systems and also for computation of model dependent parameters like anisotropy dose function.

scholarly journals Verifying the accuracy of 3D-CRT dose distributions calculated by the Prowess Panther treatment planning system (TPS) with Monte Carlo (MC) simulation for head-and-neck (H&N) patients

2019 ◽  
Vol 3 (2) ◽  
pp. 90-99
Author(s):  
Luong Thi Oanh ◽  
Duong Thanh Tai ◽  
Hoang Duc Tuan ◽  
Truong Thi Hong Loan
Keyword(s):  
Monte Carlo ◽  
Head And Neck ◽  
Treatment Planning ◽  
Planning System ◽  
Treatment Planning System ◽  
Average Dose ◽  
Monte Carlo Code ◽  
Dose Distributions ◽  
Mc Simulation ◽  
3D Crt

The purpose of this study is to verify and compare the three Dimensional Conformal Radiation Therapy (3D-CRT) dose distributions calculated by the Prowess Panther treatment planning system (TPS) with Monte Carlo (MC) simulation for head-and-neck (H&N) patients. In this study, we used the EGSnrc Monte Carlo code which includes BEAMnrc and DOSXYZnrc programs. Firstly, the clinical 6 MV photon beams form Siemens Primus linear accelerator at Dong Nai General Hospital were simulated using the BEAMnrc. Secondly, the absorbed dose to patients treated by 3D-CRT was computed using the DOSXYZnrc. Finally, the simulated dose distributions were then compared with the ones calculated by the Fast Photon Effective algorithm on the TPS, using the relative dose error comparison and the gamma index using global methods implemented in PTW-VeriSoft with 3%/3 mm. There is a good agreement between the MC and TPS dose. The average gamma passing rates were 92.8% based on the 3%/3 mm. The average dose in the PTV agreed well between the TPS with 0.97% error. MC predict dose was higher than the mean dose to the parotid glands and spinal cord compared to TPS. We have implemented the EGSnrc-based Monte Carlo simulation to verify the 3D-CRT plans generated by Prowess Panther TPS. Our results showed that the TPS agreed with the one of MC.  

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