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

Autor: 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
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Nature Communications, Vol 11, Iss 1, Pp 1-9 (2020)
Druh dokumentu: article
ISSN: 2041-1723
DOI: 10.1038/s41467-020-17672-w
Popis: 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.
Databáze: Directory of Open Access Journals