Improving the Efficiency of Single-Isocenter Multiple Metastases Stereotactic Radiosurgery Treatment.


Journal

Advances in radiation oncology
ISSN: 2452-1094
Titre abrégé: Adv Radiat Oncol
Pays: United States
ID NLM: 101677247

Informations de publication

Date de publication:
Aug 2024
Historique:
received: 03 11 2023
accepted: 29 03 2024
medline: 31 7 2024
pubmed: 31 7 2024
entrez: 31 7 2024
Statut: epublish

Résumé

Multiple brain metastases can be treated efficiently with stereotactic radiosurgery (SRS) using a single-isocenter dynamic conformal arc (SIDCA) technique. Currently, plans are manually optimized, which may lead to unnecessary table angles and arcs being used. This study aimed to evaluate an automatic 4π optimization SIDCA algorithm for treatment efficiency and plan quality. Automatic 4π-optimized SIDCA plans were created and compared with the manually optimized clinical plans for 54 patients who underwent single-fraction SRS for 2 to 10 metastases. The number of table angles and number of arcs were compared with a paired The automatic plans significantly improved treatment efficiency with a mean reduction in the number of table angles and arcs of -0.5 ± 0.1 and -1.3 ± 0.2, respectively (±SE; both Automatic 4π optimization can generate SIDCA SRS plans with improved treatment efficiency and noninferior plan quality.

Identifiants

pubmed: 39081846
doi: 10.1016/j.adro.2024.101538
pii: S2452-1094(24)00101-5
pmc: PMC11286980
doi:

Types de publication

Journal Article

Langues

eng

Pagination

101538

Informations de copyright

© 2024 The Authors.

Auteurs

Jonathan J Wyatt (JJ)

Northern Centre for Cancer Care, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle, United Kingdom.
Translational and Clinical Research Institute, Newcastle University, Newcastle, United Kingdom.

Rekha Mohanraj (R)

Northern Centre for Cancer Care, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle, United Kingdom.

Judith H Mott (JH)

Northern Centre for Cancer Care, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle, United Kingdom.

Classifications MeSH