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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Detalles Bibliográficos
Autores principales: Tran, Angelia, Woods, Kaley, Nguyen, Dan, Yu, Victoria Y., Niu, Tianye, Cao, Minsong, Lee, Percy, Sheng, Ke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5404690/
https://www.ncbi.nlm.nih.gov/pubmed/28438215
http://dx.doi.org/10.1186/s13014-017-0806-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5404690/
https://www.ncbi.nlm.nih.gov/pubmed/28438215
http://dx.doi.org/10.1186/s13014-017-0806-z

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