Investigating rectal toxicity associated dosimetric features with deformable accumulated rectal surface dose maps for cervical cancer radiotherapy

Investigating rectal toxicity associated dosimetric features with deformable accumulated rectal surface dose maps for cervical cancer radiotherapy

Abstract Background Better knowledge of the dose-toxicity relationship is essential for safe dose escalation to improve local control in cervical cancer radiotherapy. The conventional dose-toxicity model is based on the dose volume histogram, which is the parameter lacking spatial dose information....

Full description

Bibliographic Details
Main Authors: Jiawei Chen, Haibin Chen, Zichun Zhong, Zhuoyu Wang, Brian Hrycushko, Linghong Zhou, Steve Jiang, Kevin Albuquerque, Xuejun Gu, Xin Zhen
Format: Article
Language:English
Published: BMC 2018-07-01
Series:Radiation Oncology
Subjects:
Rectum toxicity prediction
Machine learning
Dose accumulation
Deformable registration
Cervical cancer
Online Access:http://link.springer.com/article/10.1186/s13014-018-1068-0

Internet

http://link.springer.com/article/10.1186/s13014-018-1068-0

Similar Items