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PENSSART, a new Monte Carlo system for quality control in radiotherapy

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HAL Id: cea-01830830

https://hal-cea.archives-ouvertes.fr/cea-01830830

Submitted on 28 Apr 2020

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PENSSART, a new Monte Carlo system for quality control in radiotherapy

Cindy Le Loirec, Juan-Carlos García Hernández, G. Bonniaud, L. Guérin, A. Batalla, Bénédicte Poumarède, Delphine Lazaro-Ponthus

To cite this version:

Cindy Le Loirec, Juan-Carlos García Hernández, G. Bonniaud, L. Guérin, A. Batalla, et al.. PENSSART, a new Monte Carlo system for quality control in radiotherapy. SNA + MC 2013 -Joint International Conference on Supercomputing in Nuclear Applications + Monte Carlo, Oct 2013, Paris, France. EDP Sciences, 2014, �10.1051/snamc/201405306�. �cea-01830830�

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Commissariat à l’énergie atomique et aux énergies alternatives F-91191 Gif-sur-Yvette Cedex

Établissement public à caractère industriel et commercial | RCS Paris B 775 685 019

The PENSSART system is divided into

three modules.

The dose calculation module is the

core of the PENSSART system as it

includes the MC dose computation engine itself which is based on PENELOPE. This module was designed

to perform MC dose calculations

within voxelized geometries and

needs as input data a description of the patient anatomy or phantom geometry as well as a description of the radiation source.

The patient module allows the

implementation of complex

geometries such as phantoms and patients.

The radiation source module is also

based on PENELOPE and allows the

simulation of different kinds of

radiation sources, going from simple sources, such as monoenergetic beams, to more complex sources like the one resulting from the complete modeling of a linac treatment head,

including the multileaf collimator

(MLC).

PENSSART, A NEW MONTE CARLO SYSTEM FOR QUALITY

CONTROL IN RADIOTHERAPY

C. Le Loirec

1

, J. C. Garcia-Hernandez

1

, G. Bonniaud

2

, L. Guérin

3

, A. Batalla

3

, B. Poumarède

1

and D. Lazaro

1

[email protected]

1CEA, LIST, Laboratoire Modélisation, Simulation et Systèmes, F-91191, Gif-sur-Yvette, France

2 Centre de Médecine Nucléaire du Morbihan, Centre d’Oncologie Saint-Yves, 56000 Vannes, France

3Centre de Lutte Contre le Cancer François Baclesse, Caen, FRANCE

Joint International Conference on Supercomputing in

Nuclear Applications and Monte Carlo 2013

(SNA + MC 2013)

La Cité des Sciences et de l’Industrie, Paris, France

October 27-31, 2013

P

EN

SS

A

RT system

Radiotherapy modalities are now more and more complex and accurate dose calculations are essential for treatment planning. However, in

presence of small field sizes and light densities, commercial treatment planning systems (TPS) often fail to predict accurate dose

distribution. In this aim, we have developed a new Monte Carlo system called

P

EN

SS

A

RT

for

P

ENELOPE

Simulation for the Safety in

Radiotherapy

.

Objectives

TPS evaluation

The results showed that the system did not introduce any bias in the dose calculation due to an error in beam settings or in geometry

model. Moreover the system also allows determining the limits of a TPS algorithm in the cases of breast and lung treatments.

Conclusions

Absorbed dose for the plan (Gy) Deviation (%)

OSL TPS PENSSART OSL vs TPS OSL vs PENSSART TPS vs PENSSART

Lung 6.89 2.00 6.61 (3.3%) 71.0 4.1 69.7

3.07 2.00 3.01 (4.4 %) 34.9 2.0 33.6

Bone 43.4 34.3 44.7 (1.3 %) 21.0 3.0 23.3

Differences between OSL measurements and PENSSART estimations are of magnitude similar to that of

the statistical uncertainties of the MC simulations (about 3%). On the contrary deviations of TPS

calculations from OSL measurements are larger especially in lung and vary from 21 to 71%. We also

note that the differences between TPS calculations and PENSSART estimations are close to the

differences observed between OSL and TPS values.

Gamma test

The reference map is the one obtained with the

PENSSART platform. 67.8% and 91.5% of pixels

pass the test for the

(2.5% - 2.5 mm) and (4% - 4 mm) criteria, respectively. The main discrepancies between the two distributions are observed at the lung interface. We have determined the limits of the XiO

TPS (CMS – Elekta) by comparing dose

distributions obtained with PenSSaRT and the RTDOSE. Comparisons with OSL measurements have also been performed.

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