Deep learning-based precise prediction and early detection of radiation-induced temporal lobe injury for nasopharyngeal carcinomaResearch in context

Deep learning-based precise prediction and early detection of radiation-induced temporal lobe injury for nasopharyngeal carcinomaResearch in context

Summary: Background: Radiotherapy is the mainstay of treatment for nasopharyngeal carcinoma. Radiation-induced temporal lobe injury (TLI) can regress or resolve in the early phase, but it is irreversible at a later stage. However, no study has proposed a risk-based follow-up schedule for its early...

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Bibliographic Details
Main Authors: Pu-Yun OuYang, Bao-Yu Zhang, Jian-Gui Guo, Jia-Ni Liu, Jiajian Li, Qing-He Peng, Shan-Shan Yang, Yun He, Zhi-Qiao Liu, Ya-Nan Zhao, Anwei Li, Yi-Shan Wu, Xue-Feng Hu, Chen Chen, Fei Han, Kai-Yun You, Fang-Yun Xie
Format: Article
Language:English
Published: Elsevier 2023-04-01
Series:EClinicalMedicine
Subjects:
Deep learning
Early detection
Nasopharyngeal carcinoma
Planning evaluation
Radiation-induced temporal lobe injury
Online Access:http://www.sciencedirect.com/science/article/pii/S2589537023001074

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http://www.sciencedirect.com/science/article/pii/S2589537023001074

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