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惰性癌症诊断中的预测模型

Predictive models in diagnosing indolent cancer.

作者信息

Bangma Chris H, Roobol Monique J, Steyerberg Ewout W

机构信息

Department of Urology, Erasmus Medical Center, Rotterdam, the Netherlands.

出版信息

Cancer. 2009 Jul 1;115(13 Suppl):3100-6. doi: 10.1002/cncr.24347.

Abstract

The early detection of prostate cancer has led to the increased incidence of tumors that are unlikely to become symptomatic during life: so-called indolent cancers. The ability to predict indolent prostate cancer is needed to avoid over treatment by unnecessary invasive therapies and to select men for active surveillance. For this report, the currently available nomograms that predict these low-risk tumors were reviewed. Many of these nomograms were based on clinical patient series, thus, their general application is restricted. Those nomograms based on screening series of the general population need further validation before generalized application is feasible. Cancer 2009;115(13 suppl):3100-6. (c) 2009 American Cancer Society.

摘要

前列腺癌的早期检测导致了那些在患者一生中不太可能出现症状的肿瘤(即所谓的惰性癌)发病率的上升。为避免不必要的侵入性治疗过度治疗,并为男性选择积极监测,需要具备预测惰性前列腺癌的能力。在本报告中,对目前可用的预测这些低风险肿瘤的列线图进行了综述。这些列线图中的许多是基于临床患者系列,因此其普遍应用受到限制。那些基于普通人群筛查系列的列线图在广泛应用可行之前需要进一步验证。《癌症》2009年;115(13增刊):3100 - 6。(c)2009美国癌症协会。

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