Comparison of anatomically informed class solution template trajectories with patient-specific trajectories for stereotactic radiosurgery and radiotherapy.


Journal

Journal of applied clinical medical physics
ISSN: 1526-9914
Titre abrégé: J Appl Clin Med Phys
Pays: United States
ID NLM: 101089176

Informations de publication

Date de publication:
Nov 2022
Historique:
revised: 08 04 2022
received: 02 11 2021
accepted: 08 08 2022
pubmed: 3 9 2022
medline: 24 11 2022
entrez: 2 9 2022
Statut: ppublish

Résumé

Class solution template trajectories are used clinically for efficiency, safety, and reproducibility. The aim was to develop class solutions for single cranial metastases radiotherapy/radiosurgery based on intracranial target positioning and compare to patient-specific trajectories in the context of 4π optimization. Template trajectories were constructed based on the open-source Montreal Neurological Institute (MNI) average brain. The MNI brain was populated with evenly spaced spherical target volumes (2 cm diameter, N = 243) and organs-at-risk (OARs) were identified. Template trajectories were generated for six anatomical regions (frontal, medial, and posterior, each with laterality dependence) based on previously published 4π optimization methods. Volumetric modulated arc therapy (VMAT) treatment plans generated using anatomically informed template 4π trajectories and patientspecific 4π trajectories were compared against VMAT plans from a standard four-arc template. Four-arc optimization techniques were compared to the standard VMAT template by placing three spherical targets in each of six anatomical regions of a test patient. This yielded 54 plans to compare various plan quality metrics. Increasing plan technique complexity, the total number of OAR maximum dose reductions compared to the standard arc template for the 6 anatomical classes was 4+/-2 (OFIXEDc) and 7+/-2 (OFIXEDi). In 65.6% of all cases, optimized fixed-couch positions outperformed the standard-arc template. Of the three comparisons, the most complex (OFIXEDi) showed the greatest statistical significance compared to the least complex (VMATi) across 12 plan quality metrics of maximum dose to each OAR, V12Gy, total plan Monitor Units, conformity index, and gradient index (p < 0.00417). In approximately 70% of all cases, 4π optimization methods outperformed the standard-arc template in terms of maximum dose reduction to OAR, by exclusively changing the arc geometry. We conclude that a tradeoff exists between complexity of a class solution methodology compared to patient-specific methods for arc selection, in the context of plan quality improvement.

Identifiants

pubmed: 36052983
doi: 10.1002/acm2.13765
pmc: PMC9680573
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e13765

Informations de copyright

© 2022 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals, LLC on behalf of The American Association of Physicists in Medicine.

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Auteurs

John David Lincoln (JD)

Department of Physics and Atmospheric Science, Dalhousie University, Halifax, Nova Scotia, Canada.

Robert Lee MacDonald (RL)

Department of Medical Physics, Nova Scotia Health Authority, Halifax, Nova Scotia, Canada.

Brian Little (B)

Department of Medical Physics, Nova Scotia Health Authority, Halifax, Nova Scotia, Canada.

Alasdair Syme (A)

Department of Physics and Atmospheric Science, Dalhousie University, Halifax, Nova Scotia, Canada.
Department of Medical Physics, Nova Scotia Health Authority, Halifax, Nova Scotia, Canada.
Department of Radiation Oncology, Dalhousie University, Halifax, Nova Scotia, Canada.
Beatrice Hunter Cancer Research Institute, Halifax, Nova Scotia, Canada.

Christopher Grant Thomas (CG)

Department of Physics and Atmospheric Science, Dalhousie University, Halifax, Nova Scotia, Canada.
Department of Medical Physics, Nova Scotia Health Authority, Halifax, Nova Scotia, Canada.
Department of Radiation Oncology, Dalhousie University, Halifax, Nova Scotia, Canada.
Beatrice Hunter Cancer Research Institute, Halifax, Nova Scotia, Canada.
Department of Radiology, Dalhousie University, Halifax, Nova Scotia, Canada.

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