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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...
Autores principales: | Zhang, Bin, Lian, Zhouyang, Zhong, Liming, Zhang, Xiao, Dong, Yuhao, Chen, Qiuying, Zhang, Lu, Mo, Xiaokai, Huang, Wenhui, Yang, Wei, Zhang, Shuixing |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
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 |
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