Incorporating variable RBE in IMPT optimization for ependymoma Article Swipe
Hadis Moazami Goudarzi
,
Gino J. Lim
,
David R. Grosshans
,
Radhe Mohan
,
Wenhua Cao
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1002/acm2.14207
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1002/acm2.14207
Purpose To study the dosimetric impact of incorporating variable relative biological effectiveness (RBE) of protons in optimizing intensity‐modulated proton therapy (IMPT) treatment plans and to compare it with conventional constant RBE optimization and linear energy transfer (LET)‐based optimization. Methods This study included 10 pediatric ependymoma patients with challenging anatomical features for treatment planning. Four plans were generated for each patient according to different optimization strategies: (1) constant RBE optimization (ConstRBEopt) considering standard‐of‐care dose requirements; (2) LET optimization (LETopt) using a composite cost function simultaneously optimizing dose‐averaged LET (LET d ) and dose; (3) variable RBE optimization (VarRBEopt) using a recent phenomenological RBE model developed by McNamara et al.; and (4) hybrid RBE optimization (hRBEopt) assuming constant RBE for the target and variable RBE for organs at risk. By normalizing each plan to obtain the same target coverage in either constant or variable RBE, we compared dose, LET d , LET‐weighted dose, and equivalent uniform dose between the different optimization approaches. Results We found that the LETopt plans consistently achieved increased LET in tumor targets and similar or decreased LET in critical organs compared to other plans. On average, the VarRBEopt plans achieved lower mean and maximum doses with both constant and variable RBE in the brainstem and spinal cord for all 10 patients. To compensate for the underdosing of targets with 1.1 RBE for the VarRBEopt plans, the hRBEopt plans achieved higher physical dose in targets and reduced mean and especially maximum variable RBE doses compared to the ConstRBEopt and LETopt plans. Conclusion We demonstrated the feasibility of directly incorporating variable RBE models in IMPT optimization. A hybrid RBE optimization strategy showed potential for clinical implementation by maintaining all current dose limits and reducing the incidence of high RBE in critical normal tissues in ependymoma patients.
Related Topics
Concepts
Relative biological effectiveness
Linear energy transfer
Proton therapy
Nuclear medicine
Radiation treatment planning
Variable (mathematics)
Ependymoma
Constant (computer programming)
Radiation therapy
Medicine
Mathematics
Irradiation
Computer science
Physics
Nuclear physics
Radiology
Mathematical analysis
Programming language
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/acm2.14207
- OA Status
- gold
- Cited By
- 5
- References
- 53
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4388850914
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4388850914Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1002/acm2.14207Digital Object Identifier
- Title
-
Incorporating variable RBE in IMPT optimization for ependymomaWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-11-20Full publication date if available
- Authors
-
Hadis Moazami Goudarzi, Gino J. Lim, David R. Grosshans, Radhe Mohan, Wenhua CaoList of authors in order
- Landing page
-
https://doi.org/10.1002/acm2.14207Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1002/acm2.14207Direct OA link when available
- Concepts
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Relative biological effectiveness, Linear energy transfer, Proton therapy, Nuclear medicine, Radiation treatment planning, Variable (mathematics), Ependymoma, Constant (computer programming), Radiation therapy, Medicine, Mathematics, Irradiation, Computer science, Physics, Nuclear physics, Radiology, Mathematical analysis, Programming languageTop concepts (fields/topics) attached by OpenAlex
- Cited by
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5Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1, 2024: 3, 2023: 1Per-year citation counts (last 5 years)
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53Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.LET‐weighted | 150 |
| abstract_inverted_index.implementation | 276 |
| abstract_inverted_index.simultaneously | 84 |
| abstract_inverted_index.dose‐averaged | 86 |
| abstract_inverted_index.phenomenological | 101 |
| abstract_inverted_index.standard‐of‐care | 72 |
| abstract_inverted_index.intensity‐modulated | 18 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5021396655 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 5 |
| corresponding_institution_ids | https://openalex.org/I1343551460 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.7300000190734863 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.84622187 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |