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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Detalles Bibliográficos
Autores principales: Zhang, Bin, Lian, Zhouyang, Zhong, Liming, Zhang, Xiao, Dong, Yuhao, Chen, Qiuying, Zhang, Lu, Mo, Xiaokai, Huang, Wenhui, Yang, Wei, Zhang, Shuixing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7268644/
https://www.ncbi.nlm.nih.gov/pubmed/32487085
http://dx.doi.org/10.1186/s12885-020-06957-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7268644/
https://www.ncbi.nlm.nih.gov/pubmed/32487085
http://dx.doi.org/10.1186/s12885-020-06957-4

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