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Empirical planning target volume modeling for high precision MRI guided intracranial radiotherapy

PURPOSE: Magnetic resonance image-guided radiotherapy for intracranial indications is a promising advance; however, uncertainties remain for both target localization after translation-only MR setup and intrafraction motion. This investigation quantified these uncertainties and developed a population...

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Autores principales: Stewart, James, Sahgal, Arjun, Zadeh, Mahtab M., Moazen, Bahareh, Jabehdar Maralani, Pejman, Breen, Stephen, Lau, Angus, Binda, Shawn, Keller, Brian, Husain, Zain, Myrehaug, Sten, Detsky, Jay, Soliman, Hany, Tseng, Chia-Lin, Ruschin, Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9869418/
https://www.ncbi.nlm.nih.gov/pubmed/36699195
http://dx.doi.org/10.1016/j.ctro.2023.100582
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author Stewart, James
Sahgal, Arjun
Zadeh, Mahtab M.
Moazen, Bahareh
Jabehdar Maralani, Pejman
Breen, Stephen
Lau, Angus
Binda, Shawn
Keller, Brian
Husain, Zain
Myrehaug, Sten
Detsky, Jay
Soliman, Hany
Tseng, Chia-Lin
Ruschin, Mark
author_facet Stewart, James
Sahgal, Arjun
Zadeh, Mahtab M.
Moazen, Bahareh
Jabehdar Maralani, Pejman
Breen, Stephen
Lau, Angus
Binda, Shawn
Keller, Brian
Husain, Zain
Myrehaug, Sten
Detsky, Jay
Soliman, Hany
Tseng, Chia-Lin
Ruschin, Mark
author_sort Stewart, James
collection PubMed
description PURPOSE: Magnetic resonance image-guided radiotherapy for intracranial indications is a promising advance; however, uncertainties remain for both target localization after translation-only MR setup and intrafraction motion. This investigation quantified these uncertainties and developed a population-based planning target volume (PTV) model to explore target and organ-at-risk (OAR) volumetric coverage tradeoffs. METHODS: Sixty-six patients, 49 with a primary brain tumor and 17 with a post-surgical resection cavity, treated on a 1.5T-based MR-linac across 1329 fractions were included. At each fraction, patients were setup by translation-only fusion of the online T1 MRI to the planning image. Each fusion was independently repeated offline accounting for rotations. The six degree-of-freedom difference between fusions was applied to transform the planning CTV at each fraction (CTV(fx)). A PTV model parameterized by volumetric CTV(fx) coverage, proportion of fractions, and proportion of patients was developed. Intrafraction motion was quantified in a 412 fraction subset as the fusion difference between post- and pre-irradiation T1 MRIs. RESULTS: For the left–right/anterior-posterior/superior-inferior axes, mean ± SD of the rotational fusion differences were 0.1 ± 0.8/0.1 ± 0.8/-0.2 ± 0.9°. Covering 98 % of the CTV(fx) in 95 % of fractions in 95 % of patients required a 3 mm PTV margin. Margin reduction decreased PTV-OAR overlap; for example, the proportion of optic chiasm overlapped by the PTV was reduced up to 23.5 % by margin reduction from 4 mm to 3 mm. CONCLUSIONS: An evidence-based PTV model was developed for brain cancer patients treated on the MR-linac. Informed by this model, we have clinically adopted a 3 mm PTV margin for conventionally fractionated intracranial patients.
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spelling pubmed-98694182023-01-24 Empirical planning target volume modeling for high precision MRI guided intracranial radiotherapy Stewart, James Sahgal, Arjun Zadeh, Mahtab M. Moazen, Bahareh Jabehdar Maralani, Pejman Breen, Stephen Lau, Angus Binda, Shawn Keller, Brian Husain, Zain Myrehaug, Sten Detsky, Jay Soliman, Hany Tseng, Chia-Lin Ruschin, Mark Clin Transl Radiat Oncol Original Research Article PURPOSE: Magnetic resonance image-guided radiotherapy for intracranial indications is a promising advance; however, uncertainties remain for both target localization after translation-only MR setup and intrafraction motion. This investigation quantified these uncertainties and developed a population-based planning target volume (PTV) model to explore target and organ-at-risk (OAR) volumetric coverage tradeoffs. METHODS: Sixty-six patients, 49 with a primary brain tumor and 17 with a post-surgical resection cavity, treated on a 1.5T-based MR-linac across 1329 fractions were included. At each fraction, patients were setup by translation-only fusion of the online T1 MRI to the planning image. Each fusion was independently repeated offline accounting for rotations. The six degree-of-freedom difference between fusions was applied to transform the planning CTV at each fraction (CTV(fx)). A PTV model parameterized by volumetric CTV(fx) coverage, proportion of fractions, and proportion of patients was developed. Intrafraction motion was quantified in a 412 fraction subset as the fusion difference between post- and pre-irradiation T1 MRIs. RESULTS: For the left–right/anterior-posterior/superior-inferior axes, mean ± SD of the rotational fusion differences were 0.1 ± 0.8/0.1 ± 0.8/-0.2 ± 0.9°. Covering 98 % of the CTV(fx) in 95 % of fractions in 95 % of patients required a 3 mm PTV margin. Margin reduction decreased PTV-OAR overlap; for example, the proportion of optic chiasm overlapped by the PTV was reduced up to 23.5 % by margin reduction from 4 mm to 3 mm. CONCLUSIONS: An evidence-based PTV model was developed for brain cancer patients treated on the MR-linac. Informed by this model, we have clinically adopted a 3 mm PTV margin for conventionally fractionated intracranial patients. Elsevier 2023-01-16 /pmc/articles/PMC9869418/ /pubmed/36699195 http://dx.doi.org/10.1016/j.ctro.2023.100582 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Research Article
Stewart, James
Sahgal, Arjun
Zadeh, Mahtab M.
Moazen, Bahareh
Jabehdar Maralani, Pejman
Breen, Stephen
Lau, Angus
Binda, Shawn
Keller, Brian
Husain, Zain
Myrehaug, Sten
Detsky, Jay
Soliman, Hany
Tseng, Chia-Lin
Ruschin, Mark
Empirical planning target volume modeling for high precision MRI guided intracranial radiotherapy
title Empirical planning target volume modeling for high precision MRI guided intracranial radiotherapy
title_full Empirical planning target volume modeling for high precision MRI guided intracranial radiotherapy
title_fullStr Empirical planning target volume modeling for high precision MRI guided intracranial radiotherapy
title_full_unstemmed Empirical planning target volume modeling for high precision MRI guided intracranial radiotherapy
title_short Empirical planning target volume modeling for high precision MRI guided intracranial radiotherapy
title_sort empirical planning target volume modeling for high precision mri guided intracranial radiotherapy
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9869418/
https://www.ncbi.nlm.nih.gov/pubmed/36699195
http://dx.doi.org/10.1016/j.ctro.2023.100582
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