Dose prediction for cervical cancer VMAT patients with a full-scale 3D-cGAN-based model and the comparison of different input data on the prediction results-Reference-Cited by-同舟云学术

Dose prediction for cervical cancer VMAT patients with a full-scale 3D-cGAN-based model and the comparison of different input data on the prediction results

Published:2022-11-13 Issue:1 Volume:17 Page:
ISSN:1748-717X
Container-title:Radiation Oncology
language:en
Short-container-title:Radiat Oncol

Author:

Zhang Gongsen,Jiang Zejun,Zhu Jian,Wang Linlin

Funder

the Natural Science Foundation of Shandong Province

the National Science Foundation of China

the Key Research and Development Program of Shandong

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,Oncology

Link

https://link.springer.com/content/pdf/10.1186/s13014-022-02155-7.pdf

Reference54 articles.

1. Ferlay J, Soerjomataram I, Dikshit R, et al. Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012. Int J Cancer. 2015;136(5):E359-86.

2. Small W, Jr, Mell LK, Anderson P, et al. Consensus guidelines for delineation of clinical target volume for intensity-modulated pelvic radiotherapy in postoperative treatment of endometrial and cervical cancer. Int J Radiat Oncol Biol Phys. 2008;71:428–34.

3. Grigsby PW. Radiotherapy for pelvic recurrence after radical hysterectomy for cervical cancer. Radiat Med. 2005;23:327–30.

4. Cibula D, Pötter R, Planchamp F, et al. The European Society of Gynaecological Oncology/European Society for Radiotherapy and Oncology/European Society of Pathology guidelines for the management of patients with cervical cancer. Virchows Arch. 2018;472(6):919–36.

5. Wang W, Zhang F, Hu K, et al. Image-guided, intensity-modulated radiation therapy in definitive radiotherapy for 1433 patients with cervical cancer. Gynecol Oncol. 2018;151(3):444–8.

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A CNN-based dose prediction method for brachytherapy treatment planning of patients with cervical cancer;Journal of Radiation Research and Applied Sciences;2024-09

2. Multi-center Dose Prediction Using Attention-aware Deep learning Algorithm Based on Transformers for Cervical Cancer Radiotherapy;Clinical Oncology;2024-07

3. Selenium‐Doped Nanoheterojunctions for Highly Efficient Cancer Radiosensitization;Advanced Science;2024-06-03

4. A Comparative Study of Deep Learning Dose Prediction Models for Cervical Cancer Volumetric Modulated Arc Therapy;Technology in Cancer Research & Treatment;2024-01

5. Deep learning–based dose prediction to improve the plan quality of volumetric modulated arc therapy for gynecologic cancers;Medical Physics;2023-09-14