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风险预测模型在肺癌早期检测中的作用。

The contribution of risk prediction models to early detection of lung cancer.

机构信息

Roy Castle Lung Cancer Research Programme, Department of Molecular and Clinical Cancer Medicine, The University of Liverpool Cancer Research Centre, Liverpool, UK.

出版信息

J Surg Oncol. 2013 Oct;108(5):304-11. doi: 10.1002/jso.23384. Epub 2013 Aug 29.

DOI:10.1002/jso.23384
PMID:23996507
Abstract

Low-dose computed tomography screening is a strategy for early diagnosis of lung cancer. The success of such screening will be dependent upon identifying populations at sufficient risk in order to maximise the benefit-to-harm ratio of the intervention. To facilitate this, the lung cancer risk prediction community has established several risk models with good predictive performance. This review focuses on current progress in risk modelling for lung cancer prediction, with some views on future development.

摘要

低剂量计算机断层扫描筛查是一种早期诊断肺癌的策略。这种筛查的成功将取决于确定足够风险的人群,以最大限度地提高干预的效益-危害比。为此,肺癌风险预测界已经建立了几个具有良好预测性能的风险模型。本综述重点介绍了肺癌预测风险建模的最新进展,并对未来的发展提出了一些看法。

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