MR-Linac Radiotherapy – The Beam Angle Selection Problem
BackgroundWith 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 automa...
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doaj-7eb7134e276e4ea08298749d3e916db52021-10-01T12:21:50ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2021-10-011110.3389/fonc.2021.717681717681MR-Linac Radiotherapy – The Beam Angle Selection ProblemRik Bijman0Linda Rossi1Tomas Janssen2Peter de Ruiter3Baukelien van Triest4Sebastiaan Breedveld5Jan-Jakob Sonke6Ben Heijmen7Department of Radiotherapy, Erasmus MC Cancer Institute, Rotterdam, NetherlandsDepartment of Radiotherapy, Erasmus MC Cancer Institute, Rotterdam, NetherlandsDepartment of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, NetherlandsDepartment of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, NetherlandsDepartment of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, NetherlandsDepartment of Radiotherapy, Erasmus MC Cancer Institute, Rotterdam, NetherlandsDepartment of Radiotherapy, Erasmus MC Cancer Institute, Rotterdam, NetherlandsDepartment of Radiotherapy, Erasmus MC Cancer Institute, Rotterdam, NetherlandsBackgroundWith 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 Methods23 patients treated at a Unity MR-linac were included. BAOx plans (x=7-12 beams) were generated for all patients. Analyses of BAO12 plans resulted in CSx class solutions. BAOx plans, CSx plans, and plans with equi-angular setups (EQUIx, x=9-56) were mutually compared.ResultsFor x>7, plan quality for CSx and BAOx was highly similar, while both were superior to EQUIx. E.g. with CS9, bowel/bladder Dmean reduced by 22% [11%, 38%] compared to EQUI9 (p<0.001). For equal plan quality, the number of EQUI beams had to be doubled compared to BAO and CS.ConclusionsComputer-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.https://www.frontiersin.org/articles/10.3389/fonc.2021.717681/fullMR-linacbeam angle optimization (BAO)beam angle class solutionautomated planningrectal cancer |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Rik Bijman Linda Rossi Tomas Janssen Peter de Ruiter Baukelien van Triest Sebastiaan Breedveld Jan-Jakob Sonke Ben Heijmen |
spellingShingle |
Rik Bijman Linda Rossi Tomas Janssen Peter de Ruiter Baukelien van Triest Sebastiaan Breedveld Jan-Jakob Sonke Ben Heijmen MR-Linac Radiotherapy – The Beam Angle Selection Problem Frontiers in Oncology MR-linac beam angle optimization (BAO) beam angle class solution automated planning rectal cancer |
author_facet |
Rik Bijman Linda Rossi Tomas Janssen Peter de Ruiter Baukelien van Triest Sebastiaan Breedveld Jan-Jakob Sonke Ben Heijmen |
author_sort |
Rik Bijman |
title |
MR-Linac Radiotherapy – The Beam Angle Selection Problem |
title_short |
MR-Linac Radiotherapy – The Beam Angle Selection Problem |
title_full |
MR-Linac Radiotherapy – The Beam Angle Selection Problem |
title_fullStr |
MR-Linac Radiotherapy – The Beam Angle Selection Problem |
title_full_unstemmed |
MR-Linac Radiotherapy – The Beam Angle Selection Problem |
title_sort |
mr-linac radiotherapy – the beam angle selection problem |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Oncology |
issn |
2234-943X |
publishDate |
2021-10-01 |
description |
BackgroundWith 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 Methods23 patients treated at a Unity MR-linac were included. BAOx plans (x=7-12 beams) were generated for all patients. Analyses of BAO12 plans resulted in CSx class solutions. BAOx plans, CSx plans, and plans with equi-angular setups (EQUIx, x=9-56) were mutually compared.ResultsFor x>7, plan quality for CSx and BAOx was highly similar, while both were superior to EQUIx. E.g. with CS9, bowel/bladder Dmean reduced by 22% [11%, 38%] compared to EQUI9 (p<0.001). For equal plan quality, the number of EQUI beams had to be doubled compared to BAO and CS.ConclusionsComputer-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. |
topic |
MR-linac beam angle optimization (BAO) beam angle class solution automated planning rectal cancer |
url |
https://www.frontiersin.org/articles/10.3389/fonc.2021.717681/full |
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