RapidPlan hippocampal sparing whole brain model version 2—how far can we reduce the dose? Article Swipe
YOU?
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· 2022
· Open Access
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· DOI: https://doi.org/10.1016/j.meddos.2022.04.003
Whole-brain radiotherapy has been the standard palliative treatment for patients with brain metastases due to its effectiveness, availability, and ease of administration. Recent clinical trials have shown that limiting radiation dose to the hippocampus is associated with decreased cognitive toxicity. In this study, we updated an existing Knowledge Based Planning model to further reduce dose to the hippocampus and improve other dosimetric plan quality characteristics. Forty-two clinical cases were contoured according to guidelines. A new dosimetric scorecard was created as an objective measure for plan quality. The new Hippocampal Sparing Whole Brain Version 2 (HSWBv2) model adopted a complex recursive training process and was validated with five additional cases. HSWBv2 treatment plans were generated on the Varian HalcyonTM and TrueBeamTM systems and compared against plans generated from the existing (HSWBv1) model released in 2016. On the HalcyonTM platform, 42 cases were re-planned. Hippocampal D100% from HSWBv2 and HSWBv1 models had an average dose of 5.75 Gy and 6.46 Gy, respectively (p < 0.001). HSWBv2 model also achieved a hippocampal Dmean of 7.49 Gy, vs 8.10 Gy in HSWBv1 model (p < 0.001). Hippocampal D0.03CC from HSWBv2 model was 9.86 Gy, in contrast to 10.57 Gy in HSWBv1 (p < 0.001). For PTV_3000, D98% and D2% from HSWBv2 model were 28.27 Gy and 31.81 Gy, respectively, compared to 28.08 Gy (p = 0.020) and 32.66 Gy from HSWBv1 (p < 0.001). Among several other dosimetric quality improvements, there was a significant reduction in PTV_3000 V105% from 35.35% (HSWBv1) to 6.44% (HSWBv2) (p < 0.001). On 5 additional validation cases, dosimetric improvements were also observed on TrueBeamTM. In comparison to published data, the HSWBv2 model achieved higher quality hippocampal avoidance whole brain radiation therapy treatment plans through further reductions in hippocampal dose while improving target coverage and dose conformity/homogeneity. HSWBv2 model is shared publicly.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.meddos.2022.04.003
- OA Status
- hybrid
- Cited By
- 18
- References
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- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4225388788
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4225388788Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1016/j.meddos.2022.04.003Digital Object Identifier
- Title
-
RapidPlan hippocampal sparing whole brain model version 2—how far can we reduce the dose?Work title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-01-01Full publication date if available
- Authors
-
Hefei Liu, Ryan Clark, Anthony Magliari, Robert Foster, Francisco J. Reynoso, Matthew C. Schmidt, Vinai Gondi, Christopher Abraham, Heather Curry, Patrick A. Kupelian, Deepak Khuntia, Sushil BeriwalList of authors in order
- Landing page
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https://doi.org/10.1016/j.meddos.2022.04.003Publisher landing page
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YesWhether a free full text is available
- OA status
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hybridOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1016/j.meddos.2022.04.003Direct OA link when available
- Concepts
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Medicine, Hippocampal formation, Nuclear medicine, Limiting, Whole brain radiotherapy, Hippocampus, Radiation therapy, Medical physics, Radiology, Internal medicine, Brain metastasis, Cancer, Mechanical engineering, Engineering, MetastasisTop concepts (fields/topics) attached by OpenAlex
- Cited by
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18Total citation count in OpenAlex
- Citations by year (recent)
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2025: 6, 2024: 4, 2023: 6, 2022: 2Per-year citation counts (last 5 years)
- References (count)
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28Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| cited_by_percentile_year.min | 94 |
| corresponding_author_ids | https://openalex.org/A5023468026 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 12 |
| corresponding_institution_ids | https://openalex.org/I1310421338, https://openalex.org/I46603895 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.699999988079071 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.9200894 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |