A structure-based gamma evaluation method for identifying clinically relevant dose differences in organs at risk.
Clinically relevant
Gamma evaluation
Organs-at-risk
PSQA
Patient specific quality assurance
Structure-based
Journal
Physical and engineering sciences in medicine
ISSN: 2662-4737
Titre abrégé: Phys Eng Sci Med
Pays: Switzerland
ID NLM: 101760671
Informations de publication
Date de publication:
Sep 2023
Sep 2023
Historique:
received:
02
08
2022
accepted:
01
05
2023
medline:
7
9
2023
pubmed:
23
5
2023
entrez:
23
5
2023
Statut:
ppublish
Résumé
Gamma evaluation is currently the most widely used dose comparison method for patient specific quality assurance (PSQA). However, existing methods for normalising the dose difference, using either the dose at the global maximum dose point or at each local point, can respectively lead to under- and over-sensitivity to dose differences in organ-at-risk structures. This may be of concern for plan evaluation from clinical perspectives. This study has explored and proposed a new method called structural gamma, which takes structural dose tolerances into consideration while performing gamma analysis for PSQA. As a demonstration of the structural gamma method, a total of 78 retrospective plans on four treatment sites were re-calculated on an in-house Monte Carlo system and compared with doses calculated from the treatment planning system. Structural gamma evaluations were performed using both QUANTEC dose tolerances and radiation oncologist specified dose tolerances, then compared with conventional global and local gamma evaluations. Results demonstrated that structural gamma evaluation is especially sensitive to errors in structures with restrictive dose constraints. The structural gamma map provides both geometric and dosimetric information on PSQA results, allowing straightforward clinical interpretation. The proposed structure-based gamma method accounts for dose tolerances for specific anatomical structures. This method can provide a clinically useful method to assess and communicate PSQA results, offering radiation oncologists a more intuitive way of examining agreement in surrounding critical normal structures.
Identifiants
pubmed: 37219798
doi: 10.1007/s13246-023-01270-3
pii: 10.1007/s13246-023-01270-3
pmc: PMC10480250
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1033-1041Informations de copyright
© 2023. The Author(s).
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