Towards faster plan adaptation for proton arc therapy using initial treatment plan information
Background and Purpose: Proton arc therapy (PAT) is an emerging modality delivering continuously rotating proton beams. Current PAT planning approaches are time-consuming, making them unsuitable for online adaptation. This study proposes an accelerated workflow for adapting PAT plans. Materials and...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-01-01
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| Series: | Physics and Imaging in Radiation Oncology |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405631625000107 |
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| author | Benjamin Roberfroid Margerie Huet-Dastarac Elena Borderías-Villarroel Rodin Koffeing John A. Lee Ana M. Barragán-Montero Edmond Sterpin |
| author_facet | Benjamin Roberfroid Margerie Huet-Dastarac Elena Borderías-Villarroel Rodin Koffeing John A. Lee Ana M. Barragán-Montero Edmond Sterpin |
| author_sort | Benjamin Roberfroid |
| collection | DOAJ |
| description | Background and Purpose: Proton arc therapy (PAT) is an emerging modality delivering continuously rotating proton beams. Current PAT planning approaches are time-consuming, making them unsuitable for online adaptation. This study proposes an accelerated workflow for adapting PAT plans. Materials and Methods: The proposed workflow transfers spots from initial computed tomography (CT) to the CT of the day, updates energy layers considering the initial pattern, and re-optimizes selected transferred spots based on their initial weights and impact on the objective function.A retrospective study was conducted on five head and neck patients who underwent plan adaptation on a repeated CT. PAT plans were generated with two different methods on the repeated CT: reference, created de novo, and smart-adapted, generated with the proposed adaptive workflow. Robust optimization was performed for all plans. Results: Smart-adapted plans achieved similar mean dose to organs at risk as the reference: the largest median increase of mean dose was 1.9 Gy to the mandible; the median of maximum dose to spinal cord was 0.5 Gy lower for the smart-adapted plans. The median target coverage, i.e. D98, to primary tumor and nodes of smart-adapted plans decreased by 0.2 and 0.4 Gy for the nominal case, and 0.4 and 0.6 Gy for the worst-case scenario; all smart-adapted plans met clinical objectives. The smart-adaptation method reduced average planning time from 19184 s to 5626 s, a 3.4-fold improvement. Conclusions: Smart-adapted plans achieve similar plan quality to the reference method, while significantly reducing plan generation time for new patient anatomy. |
| format | Article |
| id | doaj-art-0403b2b609c04bffa81d6fd83ccf230e |
| institution | Kabale University |
| issn | 2405-6316 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Physics and Imaging in Radiation Oncology |
| spelling | doaj-art-0403b2b609c04bffa81d6fd83ccf230e2025-02-08T05:00:40ZengElsevierPhysics and Imaging in Radiation Oncology2405-63162025-01-0133100705Towards faster plan adaptation for proton arc therapy using initial treatment plan informationBenjamin Roberfroid0Margerie Huet-Dastarac1Elena Borderías-Villarroel2Rodin Koffeing3John A. Lee4Ana M. Barragán-Montero5Edmond Sterpin6Université catholique de Louvain – Center of Molecular Imaging, Radiotherapy and Oncology (MIRO) Brussels Belgium; Corresponding author at: Université catholique de Louvain (UCLouvain), Molecular Imaging, Radiotherapy and Oncology (MIRO), Avenue Hippocrate 54, Bte B1.54.07, 1200 Brussels, Belgium.Université catholique de Louvain – Center of Molecular Imaging, Radiotherapy and Oncology (MIRO) Brussels BelgiumUniversité catholique de Louvain – Center of Molecular Imaging, Radiotherapy and Oncology (MIRO) Brussels BelgiumUniversité catholique de Louvain – Center of Molecular Imaging, Radiotherapy and Oncology (MIRO) Brussels BelgiumUniversité catholique de Louvain – Center of Molecular Imaging, Radiotherapy and Oncology (MIRO) Brussels BelgiumUniversité catholique de Louvain – Center of Molecular Imaging, Radiotherapy and Oncology (MIRO) Brussels BelgiumUniversité catholique de Louvain – Center of Molecular Imaging, Radiotherapy and Oncology (MIRO) Brussels Belgium; KU Leuven – Department of Oncology Laboratory of Experimental Radiotherapy Leuven Belgium; Particle Therapy Interuniversity Center Leuven – PARTICLE Leuven BelgiumBackground and Purpose: Proton arc therapy (PAT) is an emerging modality delivering continuously rotating proton beams. Current PAT planning approaches are time-consuming, making them unsuitable for online adaptation. This study proposes an accelerated workflow for adapting PAT plans. Materials and Methods: The proposed workflow transfers spots from initial computed tomography (CT) to the CT of the day, updates energy layers considering the initial pattern, and re-optimizes selected transferred spots based on their initial weights and impact on the objective function.A retrospective study was conducted on five head and neck patients who underwent plan adaptation on a repeated CT. PAT plans were generated with two different methods on the repeated CT: reference, created de novo, and smart-adapted, generated with the proposed adaptive workflow. Robust optimization was performed for all plans. Results: Smart-adapted plans achieved similar mean dose to organs at risk as the reference: the largest median increase of mean dose was 1.9 Gy to the mandible; the median of maximum dose to spinal cord was 0.5 Gy lower for the smart-adapted plans. The median target coverage, i.e. D98, to primary tumor and nodes of smart-adapted plans decreased by 0.2 and 0.4 Gy for the nominal case, and 0.4 and 0.6 Gy for the worst-case scenario; all smart-adapted plans met clinical objectives. The smart-adaptation method reduced average planning time from 19184 s to 5626 s, a 3.4-fold improvement. Conclusions: Smart-adapted plans achieve similar plan quality to the reference method, while significantly reducing plan generation time for new patient anatomy.http://www.sciencedirect.com/science/article/pii/S2405631625000107 |
| spellingShingle | Benjamin Roberfroid Margerie Huet-Dastarac Elena Borderías-Villarroel Rodin Koffeing John A. Lee Ana M. Barragán-Montero Edmond Sterpin Towards faster plan adaptation for proton arc therapy using initial treatment plan information Physics and Imaging in Radiation Oncology |
| title | Towards faster plan adaptation for proton arc therapy using initial treatment plan information |
| title_full | Towards faster plan adaptation for proton arc therapy using initial treatment plan information |
| title_fullStr | Towards faster plan adaptation for proton arc therapy using initial treatment plan information |
| title_full_unstemmed | Towards faster plan adaptation for proton arc therapy using initial treatment plan information |
| title_short | Towards faster plan adaptation for proton arc therapy using initial treatment plan information |
| title_sort | towards faster plan adaptation for proton arc therapy using initial treatment plan information |
| url | http://www.sciencedirect.com/science/article/pii/S2405631625000107 |
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