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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...
Gespeichert in:
| Veröffentlicht in: | Radiat Oncol |
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| Hauptverfasser: | , , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BioMed Central
2017
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| Schlagworte: | |
| Online Zugang: | 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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