Application of a machine learning method to whole brain white matter injury after radiotherapy for nasopharyngeal carcinoma-Reference-Cited by-同舟云学术

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Application of a machine learning method to whole brain white matter injury after radiotherapy for nasopharyngeal carcinoma

Published:2019-03-25 Issue:1 Volume:19 Page:
ISSN:1470-7330
Container-title:Cancer Imaging
language:en
Short-container-title:Cancer Imaging

Author:

Leng Xi,Fang Peng,Lin Huan,Qin Chunhong,Tan Xin,Liang Yi,Zhang Chi,Wang Hongzhuo,An Jie,Wu Donglin,Liu Qihui,Qiu Shijun

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,Oncology,General Medicine,Radiological and Ultrasound Technology

Link

http://link.springer.com/content/pdf/10.1186/s40644-019-0203-y.pdf

Reference32 articles.

1. Jemal A, Bray F, Center MM, Ferlay J, Ward E, Forman D. Global cancer statistics. CA Cancer J Clin. 2011;61:69–90.

2. Leung SF, Kreel L, Tsao SY. Asymptomatic temporal lobe injury after radiotherapy for nasopharyngeal carcinoma: incidence and determinants. Br J Radiol. 1992;65:710–4.

3. Laack NN, Brown PD. Cognitive sequelae of brain radiation in adults. Semin Oncol. 2004;31:702–13.

4. Chen SC, Abe Y, Fang PT, Hsieh YJ, Yang YI, Lu TY, et al. Prognosis of hippocampal function after sub-lethal irradiation brain injury in patients with nasopharyngeal carcinoma. Sci Rep. 2017;7:14697.

5. Hsiao KY, Yeh SA, Chang CC, Tsai PC, Wu JM, Gau JS. Cognitive function before and after intensity-modulated radiation therapy in patients with nasopharyngeal carcinoma: a prospective study. Int J Radiat Oncol Biol Phys. 2010;77:722–6.

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