• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

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

CT结肠成像对结直肠病变的阳性预测值:对大型筛查队列中影响结果的因素分析

Positive Predictive Value for Colorectal Lesions at CT Colonography: Analysis of Factors Impacting Results in a Large Screening Cohort.

作者信息

Pickhardt Perry J, Correale Loredana, Hassan Cesare

机构信息

Department of Radiology, University of Wisconsin School of Medicine & Public Health, E3/311 Clinical Science Center, 600 Highland Ave, Madison, WI 53792-3252.

im3D Medical Imaging Laboratory, Turin, Italy.

出版信息

AJR Am J Roentgenol. 2019 Jul;213(1):W1-W8. doi: 10.2214/AJR.18.20686. Epub 2019 Apr 11.

DOI:10.2214/AJR.18.20686
PMID:30973775
Abstract

The purpose of this study is to evaluate factors affecting the positive predictive value (PPV) for detecting colorectal lesions at CT colonography (CTC), using optical colonoscopy (OC) as the reference standard for concordance. Consecutive CTC studies from a single screening program interpreted as positive for at least one detected colorectal lesion 6 mm or larger and sent for subsequent OC were analyzed according to per-polyp and per-patient results. Univariable and multivariable analysis of multiple input factors was performed. Of 1650 studies (median patient age, 59.7 years; 877 men and 773 women) with 2688 total CTC-detected lesions 6 mm or larger, the overall PPVs were 88.8% (2386/2688) by polyp and 90.8% (1499/1650) by patient. The by-polyp PPV was significantly higher for polypoid (91.2%; 1793/1965) versus flat or nonpolypoid (79.4%; 459/578) lesions ( < 0.0001). Overall per-patient PPVs were 72.3% (1193/1650) for any neoplasia 6 mm or larger and 38.8% (641/1650) for advanced neoplasia. PPVs for advanced neoplasia increased by CTC Reporting and Data System category: 5.8% (45/781) for C2, 67.1% (511/762) for C3, and 79.4% (85/107) for C4. PPVs for cancer also increased by CTC Reporting and Data System category: 0% (0/781) for C2, 2.2% (17/762) for C3, and 52.3% (56/107) for C4. On multivariable regression analysis, polyp morphologic type (flat vs polypoid) and diagnostic confidence were the strongest predictors of CTC-OC concordance. CTC PPV results are somewhat underestimated because 28.8% (87/302) of CTC-OC-discordant results were categorized as likely OC false-negatives at consensus review. Concordance between CTC and OC is high for relevant colorectal polyps and masses. Unlike stool-based tests that provide only a binary positive or negative result, CTC can specify the nature of the positive findings, resulting in much greater specificity and risk stratification for patient management decisions.

摘要

本研究的目的是评估在CT结肠成像(CTC)中影响检测大肠病变的阳性预测值(PPV)的因素,以光学结肠镜检查(OC)作为一致性的参考标准。对来自单一筛查项目的连续CTC研究进行分析,这些研究被解释为至少有一个检测到的6毫米或更大的大肠病变呈阳性,并随后进行OC检查,分析基于每个息肉和每个患者的结果。对多个输入因素进行单变量和多变量分析。在1650项研究(患者年龄中位数为59.7岁;男性877例,女性773例)中,共检测到2688个6毫米或更大的CTC病变,按息肉计算的总体PPV为88.8%(2386/2688),按患者计算为90.8%(1499/1650)。息肉样病变的按息肉PPV(91.2%;1793/1965)显著高于扁平或非息肉样病变(79.4%;459/578)(P<0.0001)。对于任何6毫米或更大的肿瘤,总体按患者PPV为72.3%(1193/1650),对于进展期肿瘤为38.8%(641/1650)。进展期肿瘤的PPV根据CTC报告和数据系统类别增加:C2为5.8%(45/781),C3为67.1%(511/762),C4为79.4%(85/107)。癌症的PPV也根据CTC报告和数据系统类别增加:C2为0%(0/781),C3为2.2%(17/762),C4为52.3%(56/107)。在多变量回归分析中,息肉形态类型(扁平与息肉样)和诊断置信度是CTC-OC一致性的最强预测因素。由于在共识审查中,28.8%(87/302)的CTC-OC不一致结果被归类为可能的OC假阴性,因此CTC的PPV结果有所低估。对于相关的大肠息肉和肿块,CTC与OC之间的一致性很高。与仅提供二元阳性或阴性结果的粪便检测不同,CTC可以明确阳性结果的性质,从而在患者管理决策中具有更高的特异性和风险分层。

相似文献

1
Positive Predictive Value for Colorectal Lesions at CT Colonography: Analysis of Factors Impacting Results in a Large Screening Cohort.CT结肠成像对结直肠病变的阳性预测值:对大型筛查队列中影响结果的因素分析
AJR Am J Roentgenol. 2019 Jul;213(1):W1-W8. doi: 10.2214/AJR.18.20686. Epub 2019 Apr 11.
2
Positive predictive value for polyps detected at screening CT colonography.筛查 CT 结肠成像检测到的息肉的阳性预测值。
Eur Radiol. 2010 Jul;20(7):1651-6. doi: 10.1007/s00330-009-1704-z. Epub 2010 Jan 13.
3
4
Performance of CT Colonography in Diagnosis of Synchronous Colonic Lesions in Patients With Occlusive Colorectal Cancer.CT 结肠成像在诊断阻塞性结直肠癌患者同时性结肠病变中的应用。
AJR Am J Roentgenol. 2020 Feb;214(2):348-354. doi: 10.2214/AJR.19.21810. Epub 2019 Oct 31.
5
Colorectal Polyps Missed with Optical Colonoscopy Despite Previous Detection and Localization with CT Colonography.尽管先前通过CT结肠成像检测和定位到了,但光学结肠镜检查仍漏诊的大肠息肉。
Radiology. 2016 Feb;278(2):422-9. doi: 10.1148/radiol.2015150294. Epub 2015 Aug 14.
6
Flat (nonpolypoid) colorectal lesions identified at CT colonography in a U.S. screening population.美国筛查人群中 CT 结肠成像检查发现的扁平(非息肉样)结直肠病变。
Acad Radiol. 2010 Jun;17(6):784-90. doi: 10.1016/j.acra.2010.01.010. Epub 2010 Mar 15.
7
Computed Tomography Colonography vs Colonoscopy for Colorectal Cancer Surveillance After Surgery.计算机断层扫描结肠成像与结肠镜检查用于术后结直肠癌监测的比较
Gastroenterology. 2018 Mar;154(4):927-934.e4. doi: 10.1053/j.gastro.2017.11.025. Epub 2017 Nov 22.
8
9
CT colonography for detection and characterisation of synchronous proximal colonic lesions in patients with stenosing colorectal cancer.CT 结肠成像术在检测和描述伴狭窄的结直肠癌患者近端结肠同步性病变中的应用。
Gut. 2012 Dec;61(12):1716-22. doi: 10.1136/gutjnl-2011-301135. Epub 2011 Nov 23.
10
CT colonography for the detection of nonpolypoid colorectal lesions A prospective series.CT结肠成像用于检测非息肉样结直肠病变:一项前瞻性研究系列
Ann Ital Chir. 2015;86:532-8.

引用本文的文献

1
A Laboratory-Friendly CTC Identification: Comparable Double-Immunocytochemistry with Triple-Immunofluorescence.一种适用于实验室的循环肿瘤细胞鉴定方法:双免疫细胞化学与三重免疫荧光法的比较
Cancers (Basel). 2022 Jun 10;14(12):2871. doi: 10.3390/cancers14122871.
2
Are we underutilising computer tomography colonography in Australia?在澳大利亚,我们是否未能充分利用 CT 结肠成像术?
Intern Med J. 2022 May;52(5):864-867. doi: 10.1111/imj.15778. Epub 2022 Apr 22.
3
Diagnostic Performance of Multitarget Stool DNA and CT Colonography for Noninvasive Colorectal Cancer Screening.
多靶点粪便 DNA 与 CT 结肠成像用于非侵入性结直肠癌筛查的诊断性能。
Radiology. 2020 Oct;297(1):120-129. doi: 10.1148/radiol.2020201018. Epub 2020 Aug 11.