Automation of routine elements for spot-scanning proton patient-specific quality assurance.
IMPT
PSQA
patient-specific quality assurance
proton therapy
Journal
Medical physics
ISSN: 2473-4209
Titre abrégé: Med Phys
Pays: United States
ID NLM: 0425746
Informations de publication
Date de publication:
Jan 2019
Jan 2019
Historique:
received:
24
06
2018
revised:
12
09
2018
accepted:
07
10
2018
pubmed:
20
10
2018
medline:
22
1
2019
entrez:
20
10
2018
Statut:
ppublish
Résumé
At our institution, all proton patient plans undergo patient-specific quality assurance (PSQA) prior to treatment delivery. For intensity-modulated proton beam therapy, quality assurance is complex and time consuming, and it may involve multiple measurements per field. We reviewed our PSQA workflow and identified the steps that could be automated and developed solutions to improve efficiency. We used the treatment planning system's (TPS) capability to support C# scripts to develop an Eclipse scripting application programming interface (ESAPI) script and automate the preparation of the verification phantom plan for measurements. A local area network (LAN) connection between our measurement equipment and shared database was established to facilitate equipment control, measurement data transfer, and storage. To improve the analysis of the measurement data, a Python script was developed to automatically perform a 2D-3D γ-index analysis comparing measurements in the plane of a two-dimensional detector array with TPS predictions in a water phantom for each acquired measurement. Device connection via LAN granted immediate access to the plan and measurement information for downstream analysis using an online software suite. Automated scripts applied to verification plans reduced time from preparation steps by at least 50%; time reduction from automating γ-index analysis was even more pronounced, dropping by a factor of 10. On average, we observed an overall time savings of 55% in completion of the PSQA per patient plan. The automation of the routine tasks in the PSQA workflow significantly reduced the time required per patient, reduced user fatigue, and frees up system users from routine and repetitive workflow steps allowing increased focus on evaluating key quality metrics.
Identifiants
pubmed: 30339270
doi: 10.1002/mp.13246
pmc: PMC6322942
mid: NIHMS993695
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
5-14Subventions
Organisme : NCI NIH HHS
ID : K25 CA168984
Pays : United States
Organisme : Arizona Biomedical Research Investigator Award
Organisme : Kemper Marley Foundation
Organisme : National Cancer Institute (NCI) Career Development Award
ID : K25CA168984
Organisme : Lawrence W. and Marilyn W. Matteson Fund for Cancer Research
Informations de copyright
© 2018 American Association of Physicists in Medicine.
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