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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...
Autores principales: | Bao, Dan, Liu, Zhou, Geng, Yayuan, Li, Lin, Xu, Haijun, Zhang, Ya, Hu, Lei, Zhao, Xinming, Zhao, Yanfeng, Luo, Dehong |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
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 |
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