An optimal posttreatment surveillance strategy for cancer survivors based on an individualized risk-based approach

An optimal posttreatment surveillance strategy for cancer survivors based on an individualized risk-based approach

Monitoring patients for the recurrence of cancer can be costly and it is important to devise the optimum strategy for a given cancer and population. Here, the authors use nasopharyngeal cancer as a model and show using patient data an optimal follow-up schedule to detect recurrence of the cancer.

Bibliographic Details
Main Authors: Guan-Qun Zhou, Chen-Fei Wu, Bin Deng, Tian-Sheng Gao, Jia-Wei Lv, Li Lin, Fo-ping Chen, Jia Kou, Zhao-Xi Zhang, Xiao-Dan Huang, Zi-Qi Zheng, Jun Ma, Jin-Hui Liang, Ying Sun
Format: Article
Language:English
Published: Nature Portfolio 2020-08-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-020-17672-w

Internet

https://doi.org/10.1038/s41467-020-17672-w

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