Suppr超能文献

[预测转移性前哨淋巴结乳腺癌患者非前哨淋巴结状态的模型]

[Models to predict non sentinel lymph node status in breast cancer patients with metastatic sentinel lymph node].

作者信息

Coutant C, Rouzier R, Olivier C, Bezu C, Marpeau O, Delpech Y, Uzan S, Daraï E

机构信息

Service de gynécologie-obstétrique et médecine de la reproduction, CancerEst, hôpital Tenon, AP-HP, université Pierre-et-Marie-Curie-Paris-6, 4, rue de la Chine, 75020 Paris, France.

出版信息

Gynecol Obstet Fertil. 2009 Feb;37(2):160-6. doi: 10.1016/j.gyobfe.2008.09.021. Epub 2008 Dec 31.

Abstract

In breast cancer, nine models have been developed to predict non SN status in patients with SN metastasis. Four models are nomograms: the Memorial Sloan-Kettering Cancer Center nomogram (MSKCC nomogram), the nomogram of Degnim et al. (Mayo nomogram), the nomogram of Pal et al. (Cambridge nomogram), and the nomogram of Kohrt et al. (Stanford nomogram). Three models are scoring systems: the Tenon score, the score from the M.D. Anderson Cancer Center (MDA score), and the score of Saidi et al. Finally, two are recursive partitioning tools developed by Kohrt et al. Before being used in routine, these models have to be validated in independent populations based on discrimination and calibration. However, the main issue is their clinical utility based not only on the low false negative rate but also its potential to discriminate patients with a low risk of non SN involvement. Several institutions have tested the MSKCC nomogram, with AUC ranging from 0.58 to 0.86. It was not validated by four studies which did not recommend its use even in patients with micrometastasis.The external validation of the Tenon score confirmed its relevance with an AUC of 0.82.

摘要

在乳腺癌中,已经开发出九种模型来预测前哨淋巴结(SN)转移患者的非前哨淋巴结状态。四种模型是列线图:纪念斯隆凯特琳癌症中心列线图(MSKCC列线图)、德尼姆等人的列线图(梅奥列线图)、帕尔等人的列线图(剑桥列线图)以及科尔特等人的列线图(斯坦福列线图)。三种模型是评分系统:特农评分、MD安德森癌症中心的评分(MDA评分)以及赛迪等人的评分。最后,两种是科尔特等人开发的递归划分工具。在用于临床常规之前,这些模型必须在独立人群中基于区分度和校准进行验证。然而,主要问题在于它们的临床实用性,这不仅基于低假阴性率,还在于其区分非前哨淋巴结受累低风险患者的潜力。几个机构已经对MSKCC列线图进行了测试,曲线下面积(AUC)范围为0.58至0.86。四项研究未对其进行验证,这些研究甚至不建议在微转移患者中使用该列线图。特农评分的外部验证证实了其相关性,AUC为0.82。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验