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Predicting liver SBRT eligibility and plan quality for VMAT and 4π plans
BACKGROUND: It is useful to predict planned dosimetry and determine the eligibility of a liver cancer patient for SBRT treatment using knowledge based planning (KBP). We compare the predictive accuracy using the overlap volume histogram (OVH) and statistical voxel dose learning (SVDL) KBP prediction...
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| 出版年: | Radiat Oncol |
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| 主要な著者: | , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2017
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5404690/ https://ncbi.nlm.nih.gov/pubmed/28438215 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13014-017-0806-z |
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