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A surveillance method-oriented detection of post-operative spatial-temporal recurrence for non-small cell lung cancer

  
@article{JTD24834,
	author = {Jun-Jie Xi and Jia-Cheng Yin and Lin Wang and Chun-Lai Lu and Qun Wang and Wei Jiang},
	title = {A surveillance method-oriented detection of post-operative spatial-temporal recurrence for non-small cell lung cancer},
	journal = {Journal of Thoracic Disease},
	volume = {10},
	number = {11},
	year = {2018},
	keywords = {},
	abstract = {Background: This study evaluated spatial-temporal recurrence patterns after curative resection for non-small cell lung cancer (NSCLC) to clarify and recommend appropriate post-operative surveillance.
Methods: A total of 2,486 consecutive patients between January 2005 and December 2012 with NSCLC (stage I−IIIA) who underwent definitive surgical resection were retrospectively analyzed. We used a hazard rate curve to evaluate event dynamics. Disease-free survival (DFS) was evaluated by the Kaplan–Meier method. Univariate and multivariate analyses with Cox proportional hazards regression identified risk factors that predicted DFS.
Results: The median follow-up was 50.1 months. Recurrences were diagnosed in 852 (34.3%) patients. Four hundred eighty-nine events first occurred in the chest, 177 in the brain, 117 in the bone, and 71 in the abdomen. Of all recurrences, 78.5% occurred in the first 3 years. Univariate and multivariate analyses identified the age at diagnosis (P},
	issn = {2077-6624},	url = {https://jtd.amegroups.org/article/view/24834}
}