MR-Linac Radiotherapy - The Beam Angle Selection Problem.

MR-linac automated planning beam angle class solution beam angle optimization (BAO) rectal cancer

Journal

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

Informations de publication

Date de publication:
2021
Historique:
received: 31 05 2021
accepted: 09 09 2021
entrez: 18 10 2021
pubmed: 19 10 2021
medline: 19 10 2021
Statut: epublish

Résumé

With the large-scale introduction of volumetric modulated arc therapy (VMAT), selection of optimal beam angles for coplanar static-beam IMRT has increasingly become obsolete. Due to unavailability of VMAT in current MR-linacs, the problem has re-gained importance. An application for automated IMRT treatment planning with integrated, patient-specific computer-optimization of beam angles (BAO) was used to systematically investigate computer-aided generation of beam angle class solutions (CS) for replacement of computationally expensive patient-specific BAO. Rectal cancer was used as a model case. 23 patients treated at a Unity MR-linac were included. BAO For x>7, plan quality for CS Computer-generated beam angle CS could replace individualized BAO without loss in plan quality, while reducing planning complexity and calculation times, and resulting in a simpler clinical workflow. CS and BAO largely outperformed equi-angular treatment. With the developed CS, time consuming beam angle re-optimization in daily adaptive MR-linac treatment could be avoided. Further systematic research on computerized development of beam angle class solutions for MR-linac treatment planning is warranted.

Sections du résumé

BACKGROUND BACKGROUND
With the large-scale introduction of volumetric modulated arc therapy (VMAT), selection of optimal beam angles for coplanar static-beam IMRT has increasingly become obsolete. Due to unavailability of VMAT in current MR-linacs, the problem has re-gained importance. An application for automated IMRT treatment planning with integrated, patient-specific computer-optimization of beam angles (BAO) was used to systematically investigate computer-aided generation of beam angle class solutions (CS) for replacement of computationally expensive patient-specific BAO. Rectal cancer was used as a model case.
MATERIALS AND METHODS METHODS
23 patients treated at a Unity MR-linac were included. BAO
RESULTS RESULTS
For x>7, plan quality for CS
CONCLUSIONS CONCLUSIONS
Computer-generated beam angle CS could replace individualized BAO without loss in plan quality, while reducing planning complexity and calculation times, and resulting in a simpler clinical workflow. CS and BAO largely outperformed equi-angular treatment. With the developed CS, time consuming beam angle re-optimization in daily adaptive MR-linac treatment could be avoided. Further systematic research on computerized development of beam angle class solutions for MR-linac treatment planning is warranted.

Identifiants

pubmed: 34660281
doi: 10.3389/fonc.2021.717681
pmc: PMC8518312
doi:

Types de publication

Journal Article

Langues

eng

Pagination

717681

Informations de copyright

Copyright © 2021 Bijman, Rossi, Janssen, de Ruiter, van Triest, Breedveld, Sonke and Heijmen.

Déclaration de conflit d'intérêts

NKI is a member of the Elekta MR-Linac consortium. The remaining 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

Int J Radiat Oncol Biol Phys. 2006 Nov 1;66(3):913-22
pubmed: 17011464
Int J Radiat Oncol Biol Phys. 2015 Feb 1;91(2):401-9
pubmed: 25482301
Semin Radiat Oncol. 2014 Jul;24(3):207-9
pubmed: 24931095
Phys Med Biol. 2001 Sep;46(9):2467-76
pubmed: 11580182
Med Phys. 2012 Feb;39(2):951-63
pubmed: 22320804
Phys Med Biol. 2015 Oct 7;60(19):7485-97
pubmed: 26371425
Front Oncol. 2021 Apr 15;11:619929
pubmed: 33937025
Phys Imaging Radiat Oncol. 2019 Apr 24;10:19-24
pubmed: 33458263
Radiother Oncol. 2020 Dec;153:67-78
pubmed: 32976873
J Clin Oncol. 2010 Jun 20;28(18):2996-3001
pubmed: 20479390
Phys Med Biol. 2012 Sep 7;57(17):5441-58
pubmed: 22864234
Comput Math Methods Med. 2018 Jun 3;2018:4571801
pubmed: 29971132
Int J Radiat Oncol Biol Phys. 2013 Jul 1;86(3):407-13
pubmed: 23523322
Radiother Oncol. 2018 Aug;128(2):343-348
pubmed: 29970259
Radiother Oncol. 2014 Apr;111(1):138-43
pubmed: 24630537
Int J Radiat Oncol Biol Phys. 2014 Apr 1;88(5):1175-9
pubmed: 24529714
Radiother Oncol. 2009 Aug;92(2):202-9
pubmed: 19454365
Int J Radiat Oncol Biol Phys. 2012 Feb 1;82(2):809-16
pubmed: 21277694
Adv Radiat Oncol. 2017 Jun 01;2(3):485-493
pubmed: 29114617
Med Phys. 2019 Nov;46(11):5144-5151
pubmed: 31529694
Phys Med Biol. 2004 May 21;49(10):1915-32
pubmed: 15214533
Int J Radiat Oncol Biol Phys. 2010 Mar 1;76(3 Suppl):S101-7
pubmed: 20171503
Radiother Oncol. 2019 May;134:50-54
pubmed: 31005224
Semin Radiat Oncol. 2014 Jul;24(3):196-9
pubmed: 24931092
Acta Oncol. 2020 Aug;59(8):926-932
pubmed: 32436450
Radiat Oncol. 2019 Jun 13;14(1):105
pubmed: 31196120
Br J Radiol. 2018 Dec;91(1092):20180270
pubmed: 30074813
Phys Imaging Radiat Oncol. 2018 Jul 21;7:1-8
pubmed: 33458398
Radiother Oncol. 2017 Dec;125(3):439-444
pubmed: 28811038

Auteurs

Rik Bijman (R)

Department of Radiotherapy, Erasmus MC Cancer Institute, Rotterdam, Netherlands.

Linda Rossi (L)

Department of Radiotherapy, Erasmus MC Cancer Institute, Rotterdam, Netherlands.

Tomas Janssen (T)

Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, Netherlands.

Peter de Ruiter (P)

Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, Netherlands.

Baukelien van Triest (B)

Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, Netherlands.

Sebastiaan Breedveld (S)

Department of Radiotherapy, Erasmus MC Cancer Institute, Rotterdam, Netherlands.

Jan-Jakob Sonke (JJ)

Department of Radiotherapy, Erasmus MC Cancer Institute, Rotterdam, Netherlands.

Ben Heijmen (B)

Department of Radiotherapy, Erasmus MC Cancer Institute, Rotterdam, Netherlands.

Classifications MeSH