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

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

Abstract 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 progressio...

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Bibliographic Details
Main Authors: Dan Bao, Zhou Liu, Yayuan Geng, Lin Li, Haijun Xu, Ya Zhang, Lei Hu, Xinming Zhao, Yanfeng Zhao, Dehong Luo
Format: Article
Language:English
Published: BMC 2022-01-01
Series:Cancer Imaging
Subjects:
Magnetic resonance imaging
Radiomic
Nasopharyngeal carcinoma
Disease progression
Logistic regression analysis
Online Access:https://doi.org/10.1186/s40644-022-00448-4

Internet

https://doi.org/10.1186/s40644-022-00448-4

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