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MR-Linac Radiotherapy - The Beam Angle Selection Problem.

Rik Bijman ,
Linda Rossi ,
Tomas Janssen ,
Peter de Ruiter ,
Baukelien van Triest ,
Sebastiaan Breedveld ,
Jan-Jakob Sonke ,
Ben Heijmen

Abstract

MATERIALS AND METHODS

23 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.

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.

RESULTS

For 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.

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.

More about this publication

Frontiers in oncology

Volume 11
Pages 717681
Publication date 19-10-2021

Full text links

Publisher website (DOI) 10.3389/fonc.2021.717681
Europe PubMed Central 34660281
Pubmed 34660281

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