Intrafractional stability of MR-guided online adaptive SBRT for prostate cancer.


Journal

Radiation oncology (London, England)
ISSN: 1748-717X
Titre abrégé: Radiat Oncol
Pays: England
ID NLM: 101265111

Informations de publication

Date de publication:
26 Sep 2021
Historique:
received: 22 03 2021
accepted: 15 09 2021
entrez: 27 9 2021
pubmed: 28 9 2021
medline: 27 1 2022
Statut: epublish

Résumé

MR-guided online adaptive stereotactic body radiation therapy (SBRT) for prostate cancer aims to reduce toxicity by full compensation of interfractional uncertainties. However, the process of online adaptation currently takes approximately 45 min during which intrafractional movements remain unaccounted for. This study aims to analyze the dosimetric benefit of online adaptation and to evaluate its robustness over the duration of one treatment fraction. Baseline MR-scans at a MR-linear accelerator were acquired for ten healthy male volunteers for generation of mock-prostate SBRT plans with a dose prescription of 5 × 7.25 Gy. On a separate day, online MR-guided adaptation (ViewRay A dosimetric benefit of online MR-guided adaptive re-planning was observed in 90% of volunteers. The median D The dosimetric benefit of MR-guided online adaptation for prostate SBRT was robust over 45 min in all volunteers. However, intrafractional uncertainties became dosimetrically relevant at 60 min and we therefore recommend verification imaging before delivery of MR-guided online adapted SBRT.

Sections du résumé

BACKGROUND BACKGROUND
MR-guided online adaptive stereotactic body radiation therapy (SBRT) for prostate cancer aims to reduce toxicity by full compensation of interfractional uncertainties. However, the process of online adaptation currently takes approximately 45 min during which intrafractional movements remain unaccounted for. This study aims to analyze the dosimetric benefit of online adaptation and to evaluate its robustness over the duration of one treatment fraction.
METHODS METHODS
Baseline MR-scans at a MR-linear accelerator were acquired for ten healthy male volunteers for generation of mock-prostate SBRT plans with a dose prescription of 5 × 7.25 Gy. On a separate day, online MR-guided adaptation (ViewRay
RESULTS RESULTS
A dosimetric benefit of online MR-guided adaptive re-planning was observed in 90% of volunteers. The median D
CONCLUSION CONCLUSIONS
The dosimetric benefit of MR-guided online adaptation for prostate SBRT was robust over 45 min in all volunteers. However, intrafractional uncertainties became dosimetrically relevant at 60 min and we therefore recommend verification imaging before delivery of MR-guided online adapted SBRT.

Identifiants

pubmed: 34565439
doi: 10.1186/s13014-021-01916-0
pii: 10.1186/s13014-021-01916-0
pmc: PMC8474766
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

189

Informations de copyright

© 2021. The Author(s).

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Auteurs

J Schaule (J)

Department of Radiation Oncology, University Hospital Zurich, Rämistrasse 100, 8091, Zurich, Switzerland. jana.schaule@gmail.com.

M Chamberlain (M)

Department of Radiation Oncology, University Hospital Zurich, Rämistrasse 100, 8091, Zurich, Switzerland.

L Wilke (L)

Department of Radiation Oncology, University Hospital Zurich, Rämistrasse 100, 8091, Zurich, Switzerland.

M Baumgartl (M)

Department of Radiation Oncology, University Hospital Zurich, Rämistrasse 100, 8091, Zurich, Switzerland.

J Krayenbühl (J)

Department of Radiation Oncology, University Hospital Zurich, Rämistrasse 100, 8091, Zurich, Switzerland.

M Zamburlini (M)

Department of Radiation Oncology, University Hospital Zurich, Rämistrasse 100, 8091, Zurich, Switzerland.

M Mayinger (M)

Department of Radiation Oncology, University Hospital Zurich, Rämistrasse 100, 8091, Zurich, Switzerland.

N Andratschke (N)

Department of Radiation Oncology, University Hospital Zurich, Rämistrasse 100, 8091, Zurich, Switzerland.

S Tanadini-Lang (S)

Department of Radiation Oncology, University Hospital Zurich, Rämistrasse 100, 8091, Zurich, Switzerland.

M Guckenberger (M)

Department of Radiation Oncology, University Hospital Zurich, Rämistrasse 100, 8091, Zurich, Switzerland.

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Classifications MeSH