@article {Schreuder2101613作者={安东Schreuder科林·雅各布斯和尼古拉斯Lessmann Mireille JM Broeders和马里奥席尔瓦和伊凡娜我{\ v s}口香糖和Pim德容和米歇尔·M·范Heuvel Nicola Sverzellati和马h神尤格Pastorino和科妮莉亚M Schaefer-Prokop和布拉姆·范·Ginneken}, title = {Scan-based竞争死亡风险模型重新评估肺癌CT筛查合格},elocation-id = {2101613} = {2021}, doi ={10.1183/13993003.01613 -2021},出版商={欧洲呼吸学会},文摘={目的一个基线CT扫描对肺癌(LC)筛查可能披露信息表明某些LC参与者可以相对少些,而不是需要专用的早期心脏和呼吸系统临床输入。188bet官网地址我们旨在开发和验证死亡(CD)竞争风险模型使用CT信息识别参与者LC和高CD风险很低。参与者人口统计和定量CT方法措施的LC,心血管疾病,慢性阻塞性肺疾病被认为是派生的逻辑回归模型预测五年CD风险使用一个样本国家肺癌筛查试验(15 n = 000)。多中心意大利肺检测数据被用来执行外部验证(n = 2287)。结果最后CD模型优于外部提前扫描模型(CDRAT)的推导(曲线下的面积= 0.744[95 \ %置信区间= 0.727 - 0.761)和0.677(0.658 - 0.695),分别)和验证组(0.744(0.652 - 0.835)和0.725(0.633 - 0.816),分别)。也考虑到LC风险发生率,我们提出了一个风险阈值,子群(6258/23 096,27 \ %)被确认与一些需要屏幕检测一个LC 216(剩余的队列和23)和5.41 cd / LC的比例(0.88)。相应的值验证群子群(774/2287,34 \ %)129(29)和1.67 (0.43)。结论评估LC和CD风险post-scan可能提高LC筛选的效率,促进多学科的起始轨迹中特定的参与者。FootnotesThis手稿最近发表在《欧洲呼吸杂志》上。这里发表周全之前接受的形式排版,我们的生产团队。这些生产过程完成后,作者已经批准结果证明,本文将最新一期的ERJ在线。 Please open or download the PDF to view this article.Conflict of interest: Dr. Schreuder has nothing to disclose.Conflict of interest: Dr. Jacobs reports grants from MeVis Medical Solutions AG, Bremen, Germany, outside the submitted work; .Conflict of interest: Dr. Lessmann has nothing to disclose.Conflict of interest: Dr. Broeders has nothing to disclose.Conflict of interest: Dr. Silva has nothing to disclose.Conflict of interest: Dr. I{\v s}gum has nothing to disclose.Conflict of interest: Dr. de Jong reports other from Philips Healthcare, during the conduct of the study; .Conflict of interest: Dr. van den Heuvel has nothing to disclose.Conflict of interest: Dr. Sverzellati has nothing to disclose.Conflict of interest: Dr. Prokop reports personal fees from Bracco, Bayer, Toshiba, \& Siemens, grants from Toshiba, other from Thiroux, outside the submitted work; .Conflict of interest: Dr. Pastorino has nothing to disclose.Conflict of interest: Dr. Schaefer-Prokop has nothing to disclose.Conflict of interest: Dr. van Ginneken reports other from Thirona, grants from Mevis Medical Solutions, grants from Delft Imaging Systems, outside the submitted work; .}, issn = {0903-1936}, URL = {//www.qdcxjkg.com/content/early/2021/09/29/13993003.01613-2021}, eprint = {//www.qdcxjkg.com/content/early/2021/09/29/13993003.01613-2021.full.pdf}, journal = {European Respiratory Journal} }