Inverse planning in Gamma Knife radiosurgery: A comparative planning study.


Journal

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
ISSN: 1724-191X
Titre abrégé: Phys Med
Pays: Italy
ID NLM: 9302888

Informations de publication

Date de publication:
Feb 2021
Historique:
received: 19 09 2020
revised: 16 02 2021
accepted: 23 02 2021
pubmed: 12 3 2021
medline: 25 6 2021
entrez: 11 3 2021
Statut: ppublish

Résumé

To determine the advantages of inverse planning using a prerelease version of Leksell Gamma Knife® (LGK) Lightning (Elekta AB, Sweden) compared to manual forward planning. Thirty-eight patients with metastases (MET, n = 15), vestibular schwannomas (VS, n = 11) and meningiomas (MEN, n = 12), treated with LGK Icon™ at our institution, were analyzed retrospectively. For each case, an inverse (inv) and inverse full coverage (fc) treatment plan was generated using LGK Lightning and compared to the clinical plans. Several dosimetry and efficiency characteristics were compared for each indication. The mean, median difference and interquartile range were reported and the significance was assessed with a paired-sample Wilcoxon test (significance level < 0.05). Further, the inter operator variability was analyzed for multiple users. Inv and fc treatment plans show improved target coverage (up to 3.6%) for all analyzed paradigms. For inv plans, the selectivity is enhanced (MET: 2.9%; VS: 1.8%; MEN: 1%) and the organ at risk doses are significantly reduced (VS: up to 4.5%; MEN: up to 17.5%). For inv and fc plans, the beam on time (BOT) is shortened (MET: up to 7.9%; benign tumors: 49.5%). The inter operator variability analysis shows similar treatment plan quality with small differences in plan efficiency (difference in BOT: 1-3.3 min). LGK Lightning allows to generate improved LGK treatment plans regarding plan quality with reduced BOT compared to manual forward plans. The inter operator variability showed that multiple users with different experiences can generate similar treatment plan quality using LGK Lightning.

Identifiants

pubmed: 33706117
pii: S1120-1797(21)00108-3
doi: 10.1016/j.ejmp.2021.02.019
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

269-278

Informations de copyright

Copyright © 2021 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved.

Auteurs

Manon Spaniol (M)

Department of Radiation Oncology, University Medical Center Mannheim, University of Heidelberg, Mannheim, Germany. Electronic address: manon.spaniol@umm.de.

Sabine Mai (S)

Department of Radiation Oncology, University Medical Center Mannheim, University of Heidelberg, Mannheim, Germany.

Tonja Zakrzewski (T)

Department of Radiation Oncology, University Medical Center Mannheim, University of Heidelberg, Mannheim, Germany.

Michael Ehmann (M)

Department of Radiation Oncology, University Medical Center Mannheim, University of Heidelberg, Mannheim, Germany.

Florian Stieler (F)

Department of Radiation Oncology, University Medical Center Mannheim, University of Heidelberg, Mannheim, Germany.

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Classifications MeSH