Predicting liver SBRT eligibility and plan quality for VMAT and 4π plans
Abstract 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 pr...
Main Authors: | Angelia Tran, Kaley Woods, Dan Nguyen, Victoria Y. Yu, Tianye Niu, Minsong Cao, Percy Lee, Ke Sheng |
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Format: | Article |
Language: | English |
Published: |
BMC
2017-04-01
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Series: | Radiation Oncology |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s13014-017-0806-z |
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