Model-based comparison of organ at risk protection between VMAT and robustly optimised IMPT plans.
Head and neck cancer
NTCP-models
Photon therapy
Proton therapy
Journal
Zeitschrift fur medizinische Physik
ISSN: 1876-4436
Titre abrégé: Z Med Phys
Pays: Germany
ID NLM: 100886455
Informations de publication
Date de publication:
Feb 2021
Feb 2021
Historique:
received:
20
02
2020
revised:
07
09
2020
accepted:
18
09
2020
pubmed:
29
12
2020
medline:
9
10
2021
entrez:
28
12
2020
Statut:
ppublish
Résumé
The comparison between intensity-modulated proton therapy (IMPT) and volume-modulated arc therapy (VMAT) plans, based on models of normal tissue complication probabilities (NTCP), can support the choice of radiation modality. IMPT irradiation plans for 50 patients with head and neck tumours originally treated with photon therapy have been robustly optimised against density and setup uncertainties. The dose distribution has been calculated with a Monte Carlo (MC) algorithm. The comparison of the plans was based on dose-volume parameters in organs at risk (OARs) and NTCP-calculations for xerostomia, sticky saliva, dysphagia and tube feeding using Langendijk's model-based approach. While the dose distribution in the target volumes is similar, the IMPT plans show better protection of OARs. Therefore, it is not the high dose confirmation that constitutes the advantage of protons, but it is the reduction of the mid-to-low dose levels compared to photons. This work investigates to what extent the advantages of proton radiation are beneficial for the patient's post-therapeutic quality of life (QoL). As a result, approximately one third of the patients examined benefit significantly from proton therapy with regard to possible late side effects. Clinical data is needed to confirm the model-based calculations.
Identifiants
pubmed: 33358063
pii: S0939-3889(20)30098-2
doi: 10.1016/j.zemedi.2020.09.003
pii:
doi:
Types de publication
Journal Article
Langues
ger
Sous-ensembles de citation
IM
Pagination
5-15Informations de copyright
Copyright © 2020. Published by Elsevier GmbH.