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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Dades bibliogràfiques
Publicat a:BMC Cancer
Autors principals: Zhang, Bin, Lian, Zhouyang, Zhong, Liming, Zhang, Xiao, Dong, Yuhao, Chen, Qiuying, Zhang, Lu, Mo, Xiaokai, Huang, Wenhui, Yang, Wei, Zhang, Shuixing
Format: Artigo
Idioma:Inglês
Publicat: BioMed Central 2020
Matèries:
Research Article
Accés en línia: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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