Machine-learning based MRI radiomics models for early detection of radiation-induced brain injury in nasopharyngeal carcinoma

BACKGROUND: Early radiation-induced temporal lobe injury (RTLI) diagnosis in nasopharyngeal carcinoma (NPC) is clinically challenging, and prediction models of RTLI are lacking. Hence, we aimed to develop radiomic models for early detection of RTLI. METHODS: We retrospectively included a total of 24...

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Detalhes bibliográficos
Publicado no:BMC Cancer
Main Authors: Zhang, Bin, Lian, Zhouyang, Zhong, Liming, Zhang, Xiao, Dong, Yuhao, Chen, Qiuying, Zhang, Lu, Mo, Xiaokai, Huang, Wenhui, Yang, Wei, Zhang, Shuixing
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2020
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7268644/
https://ncbi.nlm.nih.gov/pubmed/32487085
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12885-020-06957-4
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