Deep learning method for predicting weekly anatomical changes in patients with nasopharyngeal carcinoma during radiotherapy
The proposed method can predict the tumor response to radiotherapy in the future such that adaptation can be scheduled on time. This study provides a proactive mechanism for planning adaptation, which can enable personalized treatment and save clinical time by anticipating and preparing for treatment strategy adjustments.
Authors
- Ran Wei (ORCID: https://orcid.org/0000-0003-4293-6686)
- Yuxiang Liu (ORCID: https://orcid.org/0000-0003-3016-8114)
- Jianrong Dai (ORCID: https://orcid.org/0000-0003-3542-4148)
- Kuo Men (ORCID: https://orcid.org/0000-0001-9754-2241)
- Bining Yang
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
Publication Details
- Journal
- Medical Physics
- Published
- 2024-09-03
- DOI
- https://doi.org/10.1002/mp.17381
- Citations
- 2
- Primary Topic
- Advanced Radiotherapy Techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.22
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Beijing Municipality
- Cancer Foundation of China