Robustness comparative study of dose–volume–histogram prediction models for knowledge-based radiotherapy treatment planning-Reference-Cited by-同舟云学术

Robustness comparative study of dose–volume–histogram prediction models for knowledge-based radiotherapy treatment planning

Published:2020-01-01 Issue:1 Volume:13 Page:390-397
ISSN:1687-8507
Container-title:Journal of Radiation Research and Applied Sciences
language:en
Short-container-title:Journal of Radiation Research and Applied Sciences

Author:

Wu Aiqian¹,Li Yongbao²,Qi Mengke¹,Jia Qiyuan¹^ORCID,Guo Futong¹,Lu Xingyu¹,Zhou Linghong¹,Song Ting¹

Affiliation:

1. Department of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, China

2. Department of Radiation Oncology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, China

Funder

National Key R&D Program of China

the National Natural Science Foundation of China

Public Welfare Research and Capacity Building Special Foundation of Guangdong, China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/16878507.2020.1745387

Reference12 articles.

1. Predicting dose-volume histograms for organs-at-risk in IMRT planning

2. Comprehensive Intra-Institution stepping validation of knowledge-based models for automatic plan optimization

3. Intensity-Modulated Radiation Therapy

4. Three-dimensional conformal radiotherapy (3D-CRT) versus intensity modulated radiation therapy (IMRT) in squamous cell carcinoma of the head and neck: A randomized controlled trial

5. Intensity-modulated radiation therapy in head and neck cancers: An update

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