EVALUATION OF DOSAGE ACCURACY FOR MONTE CARLO SIMULATIONS OF THE PROWESS PANTHER RADIOTHERAPY PLANNING SYSTEM FOR HEAD AND NECK CANCER

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AI THU THI NGUYEN
ROBIN BROUSSARD
KATE VINCENT

Abstract

Purpose/Object: The purpose of this study was to evaluate the accuracy of the dose distribution of the Prowess Panther radiotherapy planning system for head and neck phantom and patients with nasopharyngeal cancer.

Materials/Methods: Digital imaging and communications in medicine (DICOM) format is the standard for communications between therapeutic and diagnostic modalities. A plan generated by a treatment planning system (TPS) is often exported in DICOM format. The EGSnrc includes BEAMnrc/DOSXYZnrc is a widely used Monte Carlo (MC) package for modelling the Linac head and simulating dose delivery in radiotherapy. It has its own definition of beam orientation, which is not in compliance with the one defined in the DICOM standard. MC dose calculations using information from TPS generated plans require transformation of beam orientations to the DOSXYZnrc coordinate system and the transformation is non-trivial. PTW-Verisoft is a powerful tool in evaluating and verifying the dose accuracy of the radiotherapy planning system.

Results: The dose distribution results of TPS and EGS have good agreement. There were slight differences in the dose distribution on the CT image of the patient (less than 1% for the dose distribution at PTV and spinal cord, and 2.05% for the dose distribution in the parotid glands). This difference had many causes. The main reason was due to humans having made mistakes in the simulation.

Conclusion: The calculated dose distribution on Prowess Panther software relatively coincides with the EGSnrc test program.

Keywords:
Monte Carlo, prowess panther, head and neck cancer, 3D-CRT, EGSnrc, BEAMnrc, DOSXYZnrc

Article Details

How to Cite
NGUYEN, A. T. T., BROUSSARD, R., & VINCENT, K. (2020). EVALUATION OF DOSAGE ACCURACY FOR MONTE CARLO SIMULATIONS OF THE PROWESS PANTHER RADIOTHERAPY PLANNING SYSTEM FOR HEAD AND NECK CANCER. Journal of International Research in Medical and Pharmaceutical Sciences, 15(2), 12-19. Retrieved from https://ikprress.org/index.php/JIRMEPS/article/view/5415
Section
Original Research Article

References

Dler K. Ismael, Fatiheea F. Hassan. 3D-conformal radiation therapy and intensity-modulated radiation therapy techniques for laryngeal cancer taking parotid glands as organ at risk. Original Article, HPR; 2020.
DOI: 10.34172/hpr.2020.03, 10-16

Michael T. Spiotto, Ralph R. Weichselbaum. Comparison of 3D conformal radiotherapy; 2014.

Transition from 2D radiotherapy to 3D- conformal and intensity modulated radiotherapy. IAEA, Vienna; 2008. IAEA TECDOC 1588; 2008. ISBN 978-92-0-104008-4, ISSN 1011-4289.

Dushko Lukarski, Valentina Krstevska, Sonja Petkovska. A treatment planning comparision of two different 3D conformal techniques for irradiation of head and neck cancer patients. Proceeding of the Second Conference on Medical Physics and Biomedical Engineering; 2010.

Khan FM. The physics of radiation therapy 3rd Edition. Lippincott Williams & Wilkins, New York; 2003.

Khan FM. Treatment planning in radiation oncology, 2nd Edition. Lippincott Williams & Wilkins, New York; 2007.

Rogers DWO, Kawrakow I, Seuntjens JP, Walters BRB. NRC User codes for EGSnrc. Technical Report PIRS-702, National Research Council of Canada, Ottawa; 2000.

Walters BRB, Treurniet J, Rogers DWO, Kawarakow I. QA tests and comparisons of the EGSnrc system with EGS4. Technical Report PIRS-703, National Research Council of Canada, Ottawa; 2000.

Kawrakow I. Accurate condensed history Monte Carlo simulation of electron transport I. EGSnrc, the New EGS4 version. Med. Phys. 2000;27:485-498.

Nakorn Phaisangittisakul, Lukkana Apipunyasopon, Wasuma Rakkrai. Independent absolute dose calculation using the Monte Carlo method on CT-based data. International Journal of Cancer Therapy and Oncology. 2016;4(4).

Alexander A, Renaud M, Seuntjens J. All inclusive DOZXYZnrc source for Monte Carlo QA of external beam radiotherapy. The International Journal of Medical Physics Research and Practice. 2011;38(6)Part 3:3382-3391

Christopher Locke, Sergei Zavgorodni. Vega library for processing DICOM data required in Mote Carlo verification of radiotherapy treatment plans, Autralas Phys Eng Sci Med. 2008;31(4):290-299.

Zavgorodni SF. Monte Carlo verification of radiotherapy treatment plans: Vancouver Island Centre experience. In ICCR & MCMA; 2019.

Brualla L, Rodriguez M, Lallena MA. Monte Carlo systems used for treatment planning and dose verification. Strahlenther Onkol. 2017;193(4):243-259.

Thebaut J, Zavgorodni S. Coordinate transformations for BEAM/EGSnrc Monte Carlo dose calculations of non-coplanar fields received from a DICOM- compliant treatment planning system. Phys. Med. Biol. 2007;52: 4007-07.

Zhan L, Jiang R, Osei EK. Beam coordinate transformations from DICOM to DOSXYZnrc Physics in Medicine and Biology 57 N513; 2012.

Bush KK, Karl K, Zavgorodni SF, Sergei F. IEC accelerator beam coordinate transformations for clinical Monte Carlo simulation from a phase space or full BEAMnrc particle source. Australasian Physical & Engineering Science in Medicine. 2010;33(4):351-355.

Prowess Inc, Prowess Panther User Manual version 51, Prowess Inc, California.

Boram Lee, Seonghoom Jeong, Kwangzoo Chung, Myong Yoon, Hee Chul Park, Youngyik Han, Sang Hoon Jung. Feasibility of a GATE Monte Carlo platform in a clinical pretreatment QA system for VMAT treatment plans using true beam with an HD120 multileaf collimator. J. Appl. Clin Med Phys. 2019;20(10):101-110.

Lansonneur P, Mammar H, Nauraye C, Patriarca A, Hierso E, Dendata R, Prezado Y, De Marzi L. First proton minibeam radiation therapy treatment plan evaluation. Sciemtific Reports. 2020;10:7025.
Available:http://doi.org/10.1038/s41598-020-63975-9

Livingstone AG, Crowe SB, Sylvander S, Kairn T. Clinical implimentation of a Monte Carlo based independent TPS dose checking system. Physical and Engineering Sciences in Medicine; 2020.
Available:http://link.springer.com/article/10.1007/s13246-020-00907-x

Su Shigin. A Monte Carlo inverse treatment planning algorithm for trajectory-based volumetric modulated are therapy with applications in Stereotactic Radiosurgery, total body irradiation and patient-specific quality assurance. Doctoral Dissertation- The University of British Columbia; 2019.