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.
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Autores principales: | 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 |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2020
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Materias: | |
Acceso en línea: | https://doaj.org/article/04a87faf350e4fbfbdd5035a2a6a61e7 |
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