Baseline MRI-based radiomics model assisted predicting disease progression in nasopharyngeal carcinoma patients with complete response after treatment

BACKGROUND: Accurate pretreatment prediction for disease progression of nasopharyngeal carcinoma is key to intensify therapeutic strategies to high-risk individuals. Our aim was to evaluate the value of baseline MRI-based radiomics machine-learning models in predicting the disease progression in nas...

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Detalles Bibliográficos
Autores principales: Bao, Dan, Liu, Zhou, Geng, Yayuan, Li, Lin, Xu, Haijun, Zhang, Ya, Hu, Lei, Zhao, Xinming, Zhao, Yanfeng, Luo, Dehong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8800208/
https://www.ncbi.nlm.nih.gov/pubmed/35090572
http://dx.doi.org/10.1186/s40644-022-00448-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8800208/
https://www.ncbi.nlm.nih.gov/pubmed/35090572
http://dx.doi.org/10.1186/s40644-022-00448-4

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