Deep learning-based precise prediction and early detection of radiation-induced temporal lobe injury for nasopharyngeal carcinoma-Reference-Cited by-同舟云学术

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

Published:2023-04 Issue: Volume:58 Page:101930
ISSN:2589-5370
Container-title:eClinicalMedicine
language:en
Short-container-title:eClinicalMedicine

Author:

OuYang Pu-Yun,Zhang Bao-Yu,Guo Jian-Gui,Liu Jia-Ni,Li Jiajian,Peng Qing-He^ORCID,Yang Shan-Shan,He Yun^ORCID,Liu Zhi-Qiao,Zhao Ya-Nan,Li Anwei,Wu Yi-Shan,Hu Xue-Feng,Chen Chen,Han Fei,You Kai-Yun,Xie Fang-Yun^ORCID

Funder

Sun Yat-sen University

Guangdong Medical Research Foundation

Guangzhou Science and Technology Program key projects

Sun Yat-sen University Cancer Center

Basic and Applied Basic Research Foundation of Guangdong Province

Publisher

Elsevier BV

Subject

General Medicine

Reference35 articles.

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3. Comparison of radiological and clinical features of temporal lobe necrosis in nasopharyngeal carcinoma patients treated with 2D radiotherapy or intensity-modulated radiotherapy;Mao;Br J Cancer,2014

4. Clinical outcomes of 174 nasopharyngeal carcinoma patients with radiation-induced temporal lobe necrosis;Lam;Int J Radiat Oncol Biol Phys,2012

5. Effect of edaravone on radiation-induced brain necrosis in patients with nasopharyngeal carcinoma after radiotherapy: a randomized controlled trial;Tang;J Neuro Oncol,2014

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