SU-E-T-498: Implementation of Clinical Monte Carlo Dose Calculation for CyberKnife On a Web-Based Treatment Planning System WebTPS

2013 ◽  
Vol 40 (6Part18) ◽  
pp. 319-319
Author(s):  
K Zerouali ◽  
M Renaud ◽  
F DeBlois ◽  
H Bouchard ◽  
J Carrier
Keyword(s):  
Monte Carlo ◽  
Treatment Planning ◽  
Dose Calculation ◽  
Planning System ◽  
Treatment Planning System ◽  
Web Based ◽  
Monte Carlo Dose Calculation

scholarly journals Evaluation of a treatment planning system developed for clinical boron neutron capture therapy and validation against an independent Monte Carlo dose calculation system

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Naonori Hu ◽  
Hiroki Tanaka ◽  
Ryo Kakino ◽  
Syuushi Yoshikawa ◽  
Mamoru Miyao ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Treatment Planning ◽  
Neutron Capture ◽  
Gamma Ray ◽  
Dose Calculation ◽  
Planning System ◽  
Treatment Planning System ◽  
Neutron Capture Therapy ◽  
Boron Neutron Capture ◽  
Monte Carlo Dose Calculation

AbstractBoron neutron capture therapy (BNCT) for the treatment of unresectable, locally advanced, and recurrent carcinoma of the head and neck cancer has been approved by the Japanese government for reimbursement under the national health insurance as of June 2020. A new treatment planning system for clinical BNCT has been developed by Sumitomo Heavy Industries, Ltd. (Sumitomo), NeuCure® Dose Engine. To safely implement this system for clinical use, the simulated neutron flux and gamma ray dose rate inside a water phantom was compared against experimental measurements. Furthermore, to validate and verify the new planning system, the dose distribution inside an anthropomorphic head phantom was compared against a BNCT treatment planning system SERA and an in-house developed Monte Carlo dose calculation program. The simulated results closely matched the experimental results, within 5% for the thermal neutron flux and 10% for the gamma ray dose rate. The dose distribution inside the head phantom closely matched with SERA and the in-house developed dose calculation program, within 3% for the tumour and a difference of 0.3 Gyw for the brain.

Source modeling for Monte Carlo dose calculation of CT examinations with a radiotherapy treatment planning system

2016 ◽  
Vol 43 (11) ◽  
pp. 6118-6128 ◽  
Author(s):  
Hans-Erik Källman ◽  
Rickard Holmberg ◽  
Jonas Andersson ◽  
Love Kull ◽  
Erik Tranéus ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Treatment Planning ◽  
Dose Calculation ◽  
Planning System ◽  
Treatment Planning System ◽  
Source Modeling ◽  
Radiotherapy Treatment Planning ◽  
Monte Carlo Dose Calculation ◽  
Radiotherapy Treatment

Comparison of CCC and ETAR dose calculation algorithms in pituitary adenoma radiation treatment planning; Monte Carlo evaluation

2014 ◽  
Vol 13 (4) ◽  
pp. 447-455 ◽  
Author(s):  
K. Tanha ◽  
S. R. Mahdavi ◽  
G. Geraily
Keyword(s):  
Monte Carlo ◽  
Pituitary Adenoma ◽  
Treatment Planning ◽  
Radiation Treatment ◽  
Dose Calculation ◽  
Planning System ◽  
Treatment Planning System ◽  
Significant Difference ◽  
Calculation Algorithms ◽  
Dose Calculation Algorithms

AbstractAimsTo verify the accuracy of two common absorbed dose calculation algorithms in comparison to Monte Carlo (MC) simulation for the planning of the pituitary adenoma radiation treatment.Materials and methodsAfter validation of Linac's head modelling by MC in water phantom, it was verified in Rando phantom as a heterogeneous medium for pituitary gland irradiation. Then, equivalent tissue-air ratio (ETAR) and collapsed cone convolution (CCC) algorithms were compared for a conventional three small non-coplanar field technique. This technique uses 30 degree physical wedge and 18 MV photon beams.ResultsDose distribution findings showed significant difference between ETAR and CCC of delivered dose in pituitary irradiation. The differences between MC and dose calculation algorithms were 6.40 ± 3.44% for CCC and 10.36 ± 4.37% for ETAR. None of the algorithms could predict actual dose in air cavity areas in comparison to the MC method.ConclusionsDifference between calculation and true dose value affects radiation treatment outcome and normal tissue complication probability. It is of prime concern to select appropriate treatment planning system according to our clinical situation. It is further emphasised that MC can be the method of choice for clinical dose calculation algorithms verification.

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