SU-FF-T-339: Comparison of Pencil Beam Algorithm and Monte Carlo Dose Calculation for Proton Therapy of Paranasal Sinus Cancer

2005 ◽  
Vol 32 (6Part12) ◽  
pp. 2028-2028
Author(s):  
H Jiang ◽  
J Adams ◽  
S Rosenthal ◽  
S Kollipara ◽  
H Paganetti
Keyword(s):  
Monte Carlo ◽  
Paranasal Sinus ◽  
Proton Therapy ◽  
Dose Calculation ◽  
Pencil Beam ◽  
Pencil Beam Algorithm ◽  
Monte Carlo Dose Calculation ◽  
Paranasal Sinus Cancer ◽  
Sinus Cancer

scholarly journals OC-0087: Clinical validation of Monte Carlo dose calculation for pencil beam scanning proton therapy

2018 ◽  
Vol 127 ◽  
pp. S45-S46 ◽  
Author(s):  
L. Widesott ◽  
S. Lorentini ◽  
F. Fracchiolla ◽  
P. Farace ◽  
M. Schwarz
Keyword(s):  
Monte Carlo ◽  
Proton Therapy ◽  
Dose Calculation ◽  
Clinical Validation ◽  
Pencil Beam ◽  
Beam Scanning ◽  
Pencil Beam Scanning ◽  
Monte Carlo Dose Calculation

SU-F-T-155: Validation of a Commercial Monte Carlo Dose Calculation Algorithm for Proton Therapy

2016 ◽  
Vol 43 (6Part15) ◽  
pp. 3497-3497 ◽  
Author(s):  
J Saini ◽  
S St. James ◽  
E Traneus ◽  
T Wong ◽  
R Stewart ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Proton Therapy ◽  
Dose Calculation ◽  
Calculation Algorithm ◽  
Dose Calculation Algorithm ◽  
Monte Carlo Dose Calculation

scholarly journals EP-1777 Improvements in pencil beam algorithm in proton therapy: do we still need Monte Carlo in brain?

2019 ◽  
Vol 133 ◽  
pp. S961
Author(s):  
L. Widesott ◽  
S. Lorentini ◽  
F. Fracchiolla ◽  
P. Farace ◽  
M. Schwarz
Keyword(s):  
Monte Carlo ◽  
Proton Therapy ◽  
Pencil Beam ◽  
Pencil Beam Algorithm

scholarly journals GPU-based fast Monte Carlo dose calculation for proton therapy

2012 ◽  
Vol 57 (23) ◽  
pp. 7783-7797 ◽  
Author(s):  
Xun Jia ◽  
Jan Schümann ◽  
Harald Paganetti ◽  
Steve B Jiang
Keyword(s):  
Monte Carlo ◽  
Proton Therapy ◽  
Dose Calculation ◽  
Monte Carlo Dose Calculation

scholarly journals Verification of a Monte Carlo dose calculation engine in proton minibeam radiotherapy in a passive scattering beamline for preclinical trials

2020 ◽  
Vol 93 (1107) ◽  
pp. 20190578 ◽  
Author(s):  
Consuelo Guardiola ◽  
Ludovic De Marzi ◽  
Yolanda Prezado
Keyword(s):  
Monte Carlo ◽  
Proton Therapy ◽  
Dose Calculation ◽  
Ct Images ◽  
Computational Time ◽  
Dose Distributions ◽  
Starting Point ◽  
Preclinical Trials ◽  
Monte Carlo Dose Calculation

Objectives: Proton minibeam radiation therapy (pMBRT) is a novel therapeutic strategy that combines the benefits of proton therapy with the remarkable normal tissue preservation observed with the use of submillimetric spatially fractionated beams. This promising technique has been implemented at the Institut Curie-Proton therapy centre (ICPO) using a first prototype of a multislit collimator. The purpose of this work was to develop a Monte Carlo-based dose calculation engine to reliably guide preclinical studies at ICPO. Methods: The whole “Y1”-passive beamline at the ICPO, including pMBRT implementation, was modelled using the Monte Carlo GATE v. 7.0 code. A clinically relevant proton energy (100 MeV) was used as starting point. Minibeam generation by means of the brass collimator used in the first experiments was modelled. A virtual source was modelled at the exit of the beamline nozzle and outcomes were compared with dosimetric measurements performed with EBT3 gafchromic films and a diamond detector in water. Dose distributions were recorded in a water phantom and in rat CT images (7-week-old male Fischer rats). Results: The dose calculation engine was benchmarked against experimental data and was then used to assess dose distributions in CT images of a rat, resulting from different irradiation configurations used in several experiments. It reduced computational time by an order of magnitude. This allows us to speed up simulations for in vivo trials, where we obtained peak-to-valley dose ratios of 1.20 ± 0.05 and 6.1 ± 0.2 for proton minibeam irradiations targeting the tumour and crossing the rat head. Tumour eradication was observed in the 67 and 22% of the animals treated respectively. Conclusion: A Monte Carlo dose calculation engine for pMBRT implementation with mechanical collimation has been developed. This tool can be used to guide and interpret the results of in vivo trials. Advances in knowledge: This is the first Monte Carlo dose engine for pMBRT that is being used to guide preclinical trials in a clinical proton therapy centre.

National Survey of Monte Carlo Dose Calculation Use in US Proton Therapy Centers

2020 ◽  
Vol 108 (3) ◽  
pp. e271
Author(s):  
L. Lin ◽  
P.A. Taylor ◽  
J. Shen ◽  
J. Saini ◽  
M. Kang ◽  
...  
Keyword(s):  
Monte Carlo ◽  
National Survey ◽  
Proton Therapy ◽  
Dose Calculation ◽  
Monte Carlo Dose Calculation
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