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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Nature Portfolio
2020
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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 |
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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 |
work_keys_str_mv |
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