Nature Communications (Aug 2020)

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

  • 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

DOI
https://doi.org/10.1038/s41467-020-17672-w
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 9

Abstract

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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.