Investigation of the impact of machine operating parameters on beam delivery time and its correlation with treatment plan characteristics for synchrotron-based proton pencil beam spot scanning system.

beam delivery time machine operation parameters proton pencil beam scanning synchrotron treatment plan characteristics.

Journal

Frontiers in oncology
ISSN: 2234-943X
Titre abrégé: Front Oncol
Pays: Switzerland
ID NLM: 101568867

Informations de publication

Date de publication:
2022
Historique:
received: 04 09 2022
accepted: 18 10 2022
entrez: 28 11 2022
pubmed: 29 11 2022
medline: 29 11 2022
Statut: epublish

Résumé

To investigate the beam delivery time (BDT) reduction due to the improvement of machine parameters for Hitachi synchrotron-based proton PBS system. BDTs for representative treatment plans were calculated to quantitatively estimate the BDT improvement from our 2015 system at Mayo Clinic in Arizona to our system to be implemented in 2025 at Mayo Clinic in Florida, and to a hypothetical future system. To specifically assess how each incremental improvement in the operating parameters reduced the total BDT, for each plan, we simulated the BDT 10,368 times with various settings of the nine different operating parameters. The effect of each operating parameter on BDT reduction and its correlation with treatment plan characteristics were analyzed. The optimal number of multiple energy extraction (MEE) layers per spill for different systems was also investigated. The median (range) decrease in BDT was 60% (56%-70%) from the 2015 to the 2025 system. The following incremental improvement in parameters of the 2015 system for the 2025 system played an important role in this decreased BDT: beam intensity (8 to 20 MU/s), recapture efficiency (50% to 80%), number of MEE layers per spill (4 to 8), scanning magnet preparation and verification time (1.9 to 0.95 msec), and MEE layer switch time (200 to 100 msec). Reducing the total spill change time and scanning magnet preparation and verification time from those of the 2025 system further reduced BDT in the hypothetical future system. 8 MEE layers per spill is optimal for a system with 50% recapture efficiency; 16 MEE layers per spill is optimal for a system with 80% recapture efficiency; and more than 16 MEE layers per spill is beneficial only for a system close to 100% recapture efficiency. We systematically studied the effect of each machine operating parameter on the reduction in total BDT and its correlation with treatment plan characteristics. Our findings will aid new and existing synchrotron-based proton beam therapy centers to make balanced decisions on BDT benefits vs. costs when considering machine upgrade or new system selection.

Identifiants

pubmed: 36439480
doi: 10.3389/fonc.2022.1036139
pmc: PMC9691263
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1036139

Informations de copyright

Copyright © 2022 Liang, Beltran, Liu, Shen, Bues and Furutani.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Références

Clin Transl Radiat Oncol. 2019 Oct 02;19:116-122
pubmed: 31692702
Phys Med Biol. 2022 Aug 17;67(17):
pubmed: 35878611
Adv Radiat Oncol. 2018 Feb 23;3(3):412-420
pubmed: 30197942
Int J Radiat Oncol Biol Phys. 2008 Feb 1;70(2):609-18
pubmed: 17996389
Radiother Oncol. 2018 Jul;128(1):121-127
pubmed: 29370984
JAMA Oncol. 2020 Feb 1;6(2):237-246
pubmed: 31876914
In Vivo. 2021 Jul-Aug;35(4):2433-2437
pubmed: 34182527
Int J Radiat Oncol Biol Phys. 2015 Jun 1;92(2):460-8
pubmed: 25823447
Crit Rev Oncol Hematol. 2018 Mar;123:42-51
pubmed: 29482778
Phys Med Biol. 2022 Feb 15;67(4):
pubmed: 35061601
JAMA Oncol. 2017 Aug 10;3(8):e172032
pubmed: 28727865
Phys Med Biol. 2016 Dec 7;61(23):8249-8265
pubmed: 27811403
Acta Oncol. 2020 Feb;59(2):196-200
pubmed: 31805791
Med Phys. 2017 Oct;44(10):5081-5088
pubmed: 28777447
Med Phys. 2020 Jun;47(6):2558-2574
pubmed: 32153029
Adv Drug Deliv Rev. 2017 Jan 15;109:26-44
pubmed: 27919760
Int J Radiat Oncol Biol Phys. 2022 Aug 31;:
pubmed: 36057377
Phys Med Biol. 2020 May 11;65(9):095008
pubmed: 32155594
Radiother Oncol. 2021 Jun;159:176-182
pubmed: 33798609
Cancers (Basel). 2022 Jun 20;14(12):
pubmed: 35740689
Nature. 2017 Sep 25;549(7673):451-453
pubmed: 28959981

Auteurs

Xiaoying Liang (X)

Department of Radiation Oncology, Mayo Clinic Florida, Jacksonville, FL, United States.

Chris Beltran (C)

Department of Radiation Oncology, Mayo Clinic Florida, Jacksonville, FL, United States.

Chunbo Liu (C)

Department of Radiation Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.

Jiajian Shen (J)

Department of Radiation Oncology, Mayo Clinic Arizona, Phoenix, AZ, United States.

Martin Bues (M)

Department of Radiation Oncology, Mayo Clinic Arizona, Phoenix, AZ, United States.

Keith M Furutani (KM)

Department of Radiation Oncology, Mayo Clinic Florida, Jacksonville, FL, United States.

Classifications MeSH