Robust optimization and assessment of dynamic trajectory and mixed-beam arc radiotherapy: apreliminary study.

Bertholet, Jenny; Guyer, Gian; Mueller, Silvan; Loebner, Hannes A; Volken, Werner; Aebersold, Daniel M; Manser, Peter; Fix, Michael K (2024). Robust optimization and assessment of dynamic trajectory and mixed-beam arc radiotherapy: apreliminary study. Physics in medicine and biology, 69(16) IOP Publishing 10.1088/1361-6560/ad6950

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Dynamic trajectory radiotherapy (DTRT) and dynamic mixed-beam arc therapy (DYMBARC) exploit non-coplanarity and, for DYMBARC, simultaneously optimized photon and electron beams. Margin concepts to account for set-up uncertainties during delivery are ill-defined for electron fields. We develop robust optimization for DTRT&DYMBARC and compare dosimetric plan quality and robustness for both techniques and both optimization strategies for four cases.
Approach. Cases for different treatment sites and clinical target volume (CTV) to planning target volume (PTV) margins, m, were investigated. Dynamic gantry-table-collimator photon paths were optimized to minimize PTV/organ-at-risk (OAR) overlap in beam's-eye-view and minimize potential photon multileaf collimator (MLC) travel. For DYMBARC plans, non-isocentric partial electron arcs or static fields with shortened source-to-surface distance (80 cm) were added. Direct aperture optimization (DAO) was used to simultaneously optimize MLC-based intensity modulation for both photon and electron beams yielding deliverable PTV-based DTRT&DYMBARC plans. Robust-optimized plans used the same paths/arcs/fields. DAO with stochastic programming was used for set-up uncertainties with equal weights in all translational directions and magnitude δ such that m= 0.7δ. Robust analysis considered random errors in all directions with or without an additional systematic error in the worst 3D direction for the adjacent OARs. 
Main results. Electron contribution was 7%-41% of target dose depending on the case and optimization strategy for DYMBARC. All techniques achieved similar CTV coverage in the nominal (no error) scenario. OAR sparing was overall better in the DYMBARC plans than in the DTRT plans and DYMBARC plans were generally more robust to the considered uncertainties. OAR sparing was better in the PTV-based than in robust-optimized plans for OARs abutting or overlapping with the target volume, but more affected by uncertainties. 
Significance. Better plan robustness can be achieved with robust optimization than with margins. Combining electron arcs/fields with non-coplanar photon trajectories further improves robustness and OAR sparing.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Haematology, Oncology, Infectious Diseases, Laboratory Medicine and Hospital Pharmacy (DOLS) > Clinic of Radiation Oncology > Medical Radiation Physics
04 Faculty of Medicine > Department of Haematology, Oncology, Infectious Diseases, Laboratory Medicine and Hospital Pharmacy (DOLS) > Clinic of Radiation Oncology

UniBE Contributor:

Bertholet, Jenny, Guyer, Gian Mauro Carlo, Müller, Silvan Andreas, Löbner, Hannes Anton, Volken, Werner, Aebersold, Daniel Matthias, Manser, Peter, Fix, Michael

Subjects:

500 Science > 530 Physics
600 Technology > 610 Medicine & health

ISSN:

1361-6560

Publisher:

IOP Publishing

Language:

English

Submitter:

Pubmed Import

Date Deposited:

31 Jul 2024 16:44

Last Modified:

13 Aug 2024 00:17

Publisher DOI:

10.1088/1361-6560/ad6950

PubMed ID:

39079553

Uncontrolled Keywords:

Dynamic mixed-beam arc therapy Dynamic trajectory radiotherapy Robust optimization Robustness analysis

BORIS DOI:

10.48350/199405

URI:

https://boris.unibe.ch/id/eprint/199405

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