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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Lenguaje:EN
Publicado: Nature Portfolio 2020
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Acceso en línea:https://doaj.org/article/04a87faf350e4fbfbdd5035a2a6a61e7
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spelling oai:doaj.org-article:04a87faf350e4fbfbdd5035a2a6a61e72021-12-02T14:53:37ZAn optimal posttreatment surveillance strategy for cancer survivors based on an individualized risk-based approach10.1038/s41467-020-17672-w2041-1723https://doaj.org/article/04a87faf350e4fbfbdd5035a2a6a61e72020-08-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-17672-whttps://doaj.org/toc/2041-1723Monitoring 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.Guan-Qun ZhouChen-Fei WuBin DengTian-Sheng GaoJia-Wei LvLi LinFo-ping ChenJia KouZhao-Xi ZhangXiao-Dan HuangZi-Qi ZhengJun MaJin-Hui LiangYing SunNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-9 (2020)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
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
An optimal posttreatment surveillance strategy for cancer survivors based on an individualized risk-based approach
description 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.
format article
author 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
author_facet 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
author_sort Guan-Qun Zhou
title An optimal posttreatment surveillance strategy for cancer survivors based on an individualized risk-based approach
title_short An optimal posttreatment surveillance strategy for cancer survivors based on an individualized risk-based approach
title_full An optimal posttreatment surveillance strategy for cancer survivors based on an individualized risk-based approach
title_fullStr An optimal posttreatment surveillance strategy for cancer survivors based on an individualized risk-based approach
title_full_unstemmed An optimal posttreatment surveillance strategy for cancer survivors based on an individualized risk-based approach
title_sort optimal posttreatment surveillance strategy for cancer survivors based on an individualized risk-based approach
publisher Nature Portfolio
publishDate 2020
url https://doaj.org/article/04a87faf350e4fbfbdd5035a2a6a61e7
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