Experimental verification the electron return effect around spherical air cavities for the MR-Linac using Monte Carlo calculation.

IGRT Image-guided radiotherapy MR-guided radiotherapy MRgRT Radiotherapy cancer dose experimental dosimetry

Journal

Medical physics
ISSN: 2473-4209
Titre abrégé: Med Phys
Pays: United States
ID NLM: 0425746

Informations de publication

Date de publication:
Jun 2020
Historique:
received: 22 11 2019
revised: 28 02 2020
accepted: 28 02 2020
pubmed: 8 3 2020
medline: 15 5 2021
entrez: 8 3 2020
Statut: ppublish

Résumé

Dose deposition around unplanned air cavities during magnetic resonance-guided radiotherapy (MRgRT) is influenced by the electron return effect (ERE). This is clinically relevant for gas forming close to or inside organs at risk (OARs) that lie in the path of a single beam, for example, intestinal track during pelvic treatment. This work aims to verify Monte Carlo calculations that predict the dosimetric effects of ERE around air cavities. For this, we use GafChromic EBT3 film inside poly-methyl methacrylate (PMMA) -air phantoms. Four PMMA phantoms were produced. Three of the phantoms contained centrally located spherical air cavities (0.5, 3.5, 7.5 cm diameter), and one phantom contained no air. The phantoms were split to sandwich GafChromic EBT3 film in the center. The phantoms were irradiated on an Elekta Unity system using a single 10 × 10 cm The gamma analysis showed that >95% of the points agreed between the TPS-calculated and measured dose distributions, using 3%/3 mm criteria. The phantom containing the largest air cavity had the lowest agreement, with most of the disagreeing points lying inside the air cavity (dose to air region). The dose effects due to ERE around spherical air cavities are being calculated in the TPS with sufficient accuracy for clinical use.

Identifiants

pubmed: 32145087
doi: 10.1002/mp.14123
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2506-2515

Subventions

Organisme : European Association of National Metrology Institutes
Organisme : European Metrology Programme for Innovation and Research
ID : R120635

Informations de copyright

© 2020 American Association of Physicists in Medicine.

Références

Corradini S, Alongi F, Andratschke N, et al. MR-guidance in clinical reality: current treatment challenges and future perspectives. Radiat. Oncol. 2019;14:92.
Mutic S, Dempsey JF. The ViewRay system: magnetic resonance-guided and controlled radiotherapy. Semin Radiat Oncol. 2014;24:196-199.
Raaijmakers AJE, Raaymakers BW, Lagendijk JJW. Integrating a MRI scanner with a 6 MV radiotherapy accelerator: dose increase at tissue-air interfaces in a lateral magnetic field due to returning electrons. Phys Med Biol. 2005;50:1363-1376.
Raaymakers BW, Jürgenliemk-Schulz IM, Bol GH, et al. First patients treated with a 1.5 T MRI-Linac: clinical proof of concept of a high-precision, high-field MRI guided radiotherapy treatment. Phys Med Biol. 2017;62:L41-L50.
Acharya S, Fischer-Valuck BW, Kashani R, et al. Online magnetic resonance image guided adaptive radiation therapy: first clinical applications. Int J Radiat Oncol Biol Phys. 2016;94:394-403.
Cree A, Livsey J, Barraclough L, et al. The potential value of MRI in external-beam radiotherapy for cervical cancer. Clin Oncol. 2018;30:737-750.
Raaijmakers AJE, Raaymakers BW, Lagendijk JJW. Magnetic-field-induced dose effects in MR-guided radiotherapy systems: dependence on the magnetic field strength. Phys Med Biol. 2008;53:909-923.
Raaijmakers AJE, Raaymakers BW, Van Der Meer S, Lagendijk JJW. Integrating a MRI scanner with a 6 MV radiotherapy accelerator: impact of the surface orientation on the entrance and exit dose due to the transverse magnetic field. Phys Med Biol. 2007;52:929-939.
Raaijmakers AJE, Lagendijk JJW, Hårdemark B, Raaymakers BW, Raaijmakers J. Dose optimization for the MRI-accelerator: IMRT in the presence of a magnetic field. Phys Med Biol Phys Med Biol. 2007;52:7045-7054.
Richter S, Pojtinger S, Mönnich D, Dohm OS, Thorwarth D. Influence of a transverse magnetic field on the dose deposited by a 6 MV linear accelerator a Monte Carlo study. Curr Dir Biomed Eng. 2017;3:281-285.
Prior P, Chen X, Botros M, et al. MRI-based IMRT planning for MR-linac: comparison between CT- and MRI-based plans for pancreatic and prostate cancers. Phys Med Biol. 2016;61:3819-3842.
Shortall J, Vasquez Osorio E, Chuter R, et al. Assessing localised dosimetric effects due to unplanned gas cavities during pelvic MR-guided Radiotherapy using Monte Carlo simulations. Med Phys. 2019;46:5807-5815.
Shortall J, Vasquez Osorio E, Van Herk M. EP-1810: assessing the dose significance of unplanned rectal filling in pelvic MR Guided Radiotherapy. Radiother Oncol. 2018;127:S973-S974.
de Crevoisier R, Melancon AD, Kuban DA, et al. Changes in the pelvic anatomy after an IMRT treatment fraction of prostate cancer. Int J Radiat Oncol Biol Phys. 2007;68:1529-1536.
Ahmad SB, Sarfehnia A, Paudel MR, et al. Evaluation of a commercial MRI Linac based Monte Carlo dose calculation algorithm with geant 4. Med Phys. 2016;43:894-907.
Raaijmakers AJE, Raaymakers BW, Lagendijk JJW. Experimental verification of magnetic field dose effects for the MRI-accelerator. Phys Med Biol. 2007;52:4283-4291.
Costa F, Doran SJ, Hanson IM, et al. Investigating the effect of a magnetic field on dose distributions at phantom-air interfaces using PRESAGE ® 3D dosimeter and Monte Carlo simulations. Phys Med Biol. 2018;63:05NT01.
Chen X, Paulson ES, Ahunbay E, Sanli A, Klawikowski S, Li XA. Measurement validation of treatment planning for a MR-Linac. J Appl Clin Med Phys. 2019;20:28-38.
Lee HJ, Won Choi G, Alqathami M, Kadbi M, Ibbott G. Using 3D dosimetry to quantify the electron return effect (ERE) for MR-image-guided radiation therapy (MR-IGRT) applications. J Phys. 2017;847:012057.
Cusumano D, Teodoli S, Greco F, et al. Experimental evaluation of the impact of low tesla transverse magnetic field on dose distribution in presence of tissue interfaces. Phys Medica. 2018;53:80-85.
Okamoto H, Nishioka S, Iijima K, et al. Monte Carlo modeling of a 60Co MRI-guided radiotherapy system on Geant4 and experimental verification of dose calculation under a magnetic field of 0.35 T. J Radiat Res. 2019;60:116-123.
Paudel MR, Kim A, Sarfehnia A, et al. Experimental evaluation of a GPU-based Monte Carlo dose calculation algorithm in the Monaco treatment planning system. J Appl Clin Med Phys. 2016;17:230-241.
Ibbott GS, Le HJ, Roe Y. The MD Anderson experience with 3D dosimetry and an MR- linac. J Phys Conf Ser. 2019;1305:012011.
Lee HJ, Choi GW, Alqathami M, Kadbi M. Using 3D dosimetry to quantify the electron return effect (ERE) for MR-image-guided radiation therapy (MR-IGRT ) applications: 3-6.
McDonald BA, Lee HJ, Ibbott GS. Low-density gel dosimeter for measurement of the electron return effect in an MR-linac. Phys Med Biol. 2019;64:205016.
Low DA, Dempsey JF. Evaluation of the gamma dose distribution comparison method. Med Phys. 2003;30:2455-2464.
Wen N, Lu S, Kim J, et al. Precise film dosimetry for stereotactic radiosurgery and stereotactic body radiotherapy quality assurance using GafchromicTM EBT3 films. Radiat Oncol. 2016;11:132.
Low DA, Harms WB, Mutic S, Purdy JA. A technique for the quantitative evaluation of dose distributions. Med Phys. 1998;25:656-661.
Billas I, Bouchard H, Oelfke U, Duane S. The effect of magnetic field strength on the response of Gafchromic EBT-3 film. Phys Med Biol. 2019;64:06NT03.
Ezzell GA, Burmeister JW, Dogan N, et al. IMRT commissioning: Multiple institution planning and dosimetry comparisons, a report from AAPM Task Group 119. Med Phys. 2009;36:5359-5373.
Stojadinovic S, Ouyang L, Gu X, Pompoš A, Bao Q, Solberg TD. Breaking bad IMRT QA practice. J Appl Clin Med Phys. 2015;16:154-165.
Sedaghat M, et al. The potential of polymer gel dosimeters for 3D MR-IGRT quality assurance. J Phys Conf Ser. 2017;847:012059.
Uilkema S, van der Heide U, Sonke J-J, Moreau M, van Triest B, Nijkamp J. A 1.5 T transverse magnetic field in radiotherapy of rectal cancer: Impact on the dose distribution. Med Phys. 2015;42:7182.
Jabbari K. Review of fast Monte Carlo codes for dose calculation in radiation therapy treatment planning. J Med Sign Sens. 2011;1:73-86.
Barten DLJ, Hoffmans D, Palacios MA, Heukelom S, van Battum LJ. Suitability of EBT3 GafChromic film for quality assurance in MR-guided radiotherapy at 0.35 T with and without real-time MR imaging. Phys Med Biol. 2018;63:165014.
Delfs B, Schoenfeld AA, Poppinga D, et al. Magnetic fields are causing small, but significant changes of the radiochromic EBT3 film response to 6 MV photons. Phys Med Biol. 2018;63:35028.
Reynoso F, Curcuru A, Green O, Mutic S, Das I, Santanam L. Technical note: magnetic field effects on Gafchromic-film response in MR-IGRT. Med Phys. 2016;43:6552-6556.

Auteurs

J Shortall (J)

Department of Cancer Sciences, The University of Manchester, Manchester, UK.

E Vasquez Osorio (E)

Department of Cancer Sciences, The University of Manchester, Manchester, UK.

A Aitkenhead (A)

Department of Cancer Sciences, The University of Manchester, Manchester, UK.
Department of Medical Physics and Engineering, The Christie NHS Foundation Trust, Manchester, UK.

J Berresford (J)

Department of Medical Physics and Engineering, The Christie NHS Foundation Trust, Manchester, UK.

J Agnew (J)

Department of Medical Physics and Engineering, The Christie NHS Foundation Trust, Manchester, UK.

G Budgell (G)

Department of Cancer Sciences, The University of Manchester, Manchester, UK.
Department of Medical Physics and Engineering, The Christie NHS Foundation Trust, Manchester, UK.

R Chuter (R)

Department of Cancer Sciences, The University of Manchester, Manchester, UK.
Department of Medical Physics and Engineering, The Christie NHS Foundation Trust, Manchester, UK.

A McWilliam (A)

Department of Cancer Sciences, The University of Manchester, Manchester, UK.
Department of Medical Physics and Engineering, The Christie NHS Foundation Trust, Manchester, UK.

K Kirkby (K)

Department of Cancer Sciences, The University of Manchester, Manchester, UK.
Department of Medical Physics and Engineering, The Christie NHS Foundation Trust, Manchester, UK.

R Mackay (R)

Department of Cancer Sciences, The University of Manchester, Manchester, UK.
Department of Medical Physics and Engineering, The Christie NHS Foundation Trust, Manchester, UK.

M van Herk (M)

Department of Cancer Sciences, The University of Manchester, Manchester, UK.
Department of Medical Physics and Engineering, The Christie NHS Foundation Trust, Manchester, UK.

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