• 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

使用基于激光诱导荧光光谱的光学活检钳系统对结直肠息肉组织学进行体内实时评估。

In vivo real-time assessment of colorectal polyp histology using an optical biopsy forceps system based on laser-induced fluorescence spectroscopy.

作者信息

Rath Timo, Tontini Gian E, Vieth Michael, Nägel Andreas, Neurath Markus F, Neumann Helmut

机构信息

Department of Medicine I, Division of Gastroenterology, Pneumology and Endocrinology, University Hospital Erlangen, Germany.

Institute of Pathology, Klinikum Bayreuth, Germany.

出版信息

Endoscopy. 2016 Jun;48(6):557-62. doi: 10.1055/s-0042-102251. Epub 2016 Mar 23.

DOI:10.1055/s-0042-102251
PMID:27009081
Abstract

BACKGROUND AND STUDY AIMS

In order to reduce time, costs, and risks associated with resection of diminutive colorectal polyps, the American Society for Gastrointestinal Endoscopy (ASGE) recently proposed performance thresholds that new technologies should meet for the accurate real-time assessment of histology of colorectal polyps. In this study, we prospectively assessed whether laser-induced fluorescence spectroscopy (LIFS), using the new WavSTAT4 optical biopsy system, can meet the ASGE criteria.

PATIENTS AND METHODS

27 patients undergoing screening or surveillance colonoscopy were included. The histology of 137 diminutive colorectal polyps was predicted in real time using LIFS and findings were compared with the results of conventional histopathological examination. The accuracy of predicting polyp histology with WavSTAT4 was assessed according to the ASGE criteria.

RESULTS

The overall accuracy of LIFS using WavSTAT4 for predicting polyp histology was 84.7 % with sensitivity, specificity, and negative predictive value (NPV) of 81.8 %, 85.2 %, and 96.1 %. When only distal colorectal diminutive polyps were considered, the NPV for excluding adenomatous histology increased to 100 % (accuracy 82.4 %, sensitivity 100 %, specificity 80.6 %). On-site, LIFS correctly predicted the recommended surveillance intervals with an accuracy of 88.9 % (24/27 patients) when compared with histology-based United States guideline recommendations; in the 3 patients for whom LIFS- and histopathology-based recommended surveillance intervals differed, LIFS predicted shorter surveillance intervals.

CONCLUSIONS

From the data of this pilot study, LIFS using the WavSTAT4 system appears accurate enough to allow distal colorectal polyps to be left in place and nearly reaches the threshold to "resect and discard" them without pathologic assessment. WavSTAT4 therefore has the potential to reduce costs and risks associated with the removal of diminutive colorectal polyps.

摘要

背景与研究目的

为了减少与微小结直肠息肉切除相关的时间、成本和风险,美国胃肠内镜学会(ASGE)最近提出了新技术在准确实时评估结直肠息肉组织学方面应达到的性能阈值。在本研究中,我们前瞻性地评估了使用新型WavSTAT4光学活检系统的激光诱导荧光光谱法(LIFS)是否能满足ASGE标准。

患者与方法

纳入27例接受筛查或监测结肠镜检查的患者。使用LIFS实时预测137个微小结直肠息肉的组织学,并将结果与传统组织病理学检查结果进行比较。根据ASGE标准评估WavSTAT4预测息肉组织学的准确性。

结果

使用WavSTAT4的LIFS预测息肉组织学的总体准确率为84.7%,敏感性、特异性和阴性预测值(NPV)分别为81.8%、85.2%和96.1%。仅考虑远端结直肠微小息肉时,排除腺瘤性组织学的NPV增至100%(准确率82.4%,敏感性100%,特异性80.6%)。在现场,与基于组织学的美国指南建议相比,LIFS正确预测推荐监测间隔的准确率为88.9%(24/27例患者);在LIFS和基于组织病理学的推荐监测间隔不同的3例患者中,LIFS预测的监测间隔更短。

结论

从这项初步研究的数据来看,使用WavSTAT4系统的LIFS似乎足够准确,可使远端结直肠息肉留在原位,并且几乎达到了无需病理评估就“切除并丢弃”它们的阈值。因此,WavSTAT4有潜力降低与切除微小结直肠息肉相关的成本和风险。

相似文献

1
In vivo real-time assessment of colorectal polyp histology using an optical biopsy forceps system based on laser-induced fluorescence spectroscopy.使用基于激光诱导荧光光谱的光学活检钳系统对结直肠息肉组织学进行体内实时评估。
Endoscopy. 2016 Jun;48(6):557-62. doi: 10.1055/s-0042-102251. Epub 2016 Mar 23.
2
ASGE Technology Committee systematic review and meta-analysis assessing the ASGE PIVI thresholds for adopting real-time endoscopic assessment of the histology of diminutive colorectal polyps.ASGE 技术委员会的系统评价和荟萃分析评估了 ASGE PIVI 阈值,以实时评估微小结直肠息肉的组织学。
Gastrointest Endosc. 2015 Mar;81(3):502.e1-502.e16. doi: 10.1016/j.gie.2014.12.022. Epub 2015 Jan 16.
3
High-definition endoscopy with digital chromoendoscopy for histologic prediction of distal colorectal polyps.采用数字染色内镜的高清内镜检查对远端大肠息肉进行组织学预测。
BMC Gastroenterol. 2015 Oct 22;15:145. doi: 10.1186/s12876-015-0374-3.
4
High-definition endoscopy with i-Scan for evaluation of small colon polyps: the HiSCOPE study.高清内镜 i-Scan 用于小结肠息肉评估:HiSCOPE 研究。
Gastrointest Endosc. 2014 Jan;79(1):111-8. doi: 10.1016/j.gie.2013.06.013. Epub 2013 Jul 17.
5
Accuracy of narrow-band imaging in predicting colonoscopy surveillance intervals and histology of distal diminutive polyps: results from a multicenter, prospective trial.窄带成像预测结肠镜监测间隔和远端微小息肉组织学的准确性:一项多中心前瞻性研究的结果。
Gastrointest Endosc. 2013 Jul;78(1):106-14. doi: 10.1016/j.gie.2013.01.035. Epub 2013 Apr 11.
6
Accuracy of in vivo optical diagnosis of colon polyp histology by narrow-band imaging in predicting colonoscopy surveillance intervals.窄带成像技术在预测结肠镜监测间隔时间时对结肠息肉组织学进行体内光学诊断的准确性。
Gastrointest Endosc. 2012 Mar;75(3):494-502. doi: 10.1016/j.gie.2011.08.002. Epub 2011 Oct 26.
7
Guidance for setting easy-to-adopt competence criteria for optical diagnosis of diminutive colorectal polyps: a simulation approach.用于制定易于采用的微小结直肠息肉光学诊断能力标准的指南:一种模拟方法。
Gastrointest Endosc. 2021 Oct;94(4):812-822.e43. doi: 10.1016/j.gie.2021.04.008. Epub 2021 Apr 19.
8
Narrow band imaging optical diagnosis of small colorectal polyps in routine clinical practice: the Detect Inspect Characterise Resect and Discard 2 (DISCARD 2) study.常规临床实践中小肠结肠息肉的窄带成像光学诊断:检测、检查、表征、切除与丢弃2(DISCARD 2)研究
Gut. 2017 May;66(5):887-895. doi: 10.1136/gutjnl-2015-310584. Epub 2016 Apr 19.
9
Leaving distal colorectal hyperplastic polyps in place can be achieved with high accuracy by using narrow-band imaging: an observational study.使用窄带成像技术可以高精度地保留远端结直肠增生性息肉:一项观察性研究。
Gastrointest Endosc. 2012 Aug;76(2):374-80. doi: 10.1016/j.gie.2012.04.446. Epub 2012 Jun 12.
10
Accuracy of in vivo colorectal polyp discrimination by using dual-focus high-definition narrow-band imaging colonoscopy.使用双焦点高清窄带成像结肠镜检查对体内大肠息肉进行鉴别诊断的准确性
Gastrointest Endosc. 2014 Dec;80(6):1072-87. doi: 10.1016/j.gie.2014.05.305. Epub 2014 Jun 25.

引用本文的文献

1
Comprehensive application of artificial intelligence in colorectal cancer: A review.人工智能在结直肠癌中的综合应用:综述
iScience. 2025 Jun 23;28(7):112980. doi: 10.1016/j.isci.2025.112980. eCollection 2025 Jul 18.
2
From Staining Techniques to Artificial Intelligence: A Review of Colorectal Polyps Characterization.从染色技术到人工智能:结直肠息肉特征分析综述。
Medicina (Kaunas). 2024 Jan 3;60(1):89. doi: 10.3390/medicina60010089.
3
Computer-aided polyp characterization in colonoscopy: sufficient performance or not?结肠镜检查中计算机辅助息肉特征分析:性能是否足够?
Clin Endosc. 2024 Jan;57(1):18-23. doi: 10.5946/ce.2023.092. Epub 2024 Jan 5.
4
Artificial intelligence in colonoscopy: A review on the current status.结肠镜检查中的人工智能:现状综述
DEN Open. 2022 Mar 23;2(1):e109. doi: 10.1002/deo2.109. eCollection 2022 Apr.
5
Scoping out the future: The application of artificial intelligence to gastrointestinal endoscopy.展望未来:人工智能在胃肠内镜检查中的应用。
World J Gastrointest Oncol. 2022 May 15;14(5):989-1001. doi: 10.4251/wjgo.v14.i5.989.
6
Liquid Biopsy and Artificial Intelligence as Tools to Detect Signatures of Colorectal Malignancies: A Modern Approach in Patient's Stratification.液体活检与人工智能作为检测结直肠癌特征的工具:患者分层的现代方法
Front Oncol. 2022 Mar 8;12:856575. doi: 10.3389/fonc.2022.856575. eCollection 2022.
7
Artificial intelligence-assisted colonoscopy: A review of current state of practice and research.人工智能辅助结肠镜检查:当前实践和研究的综述。
World J Gastroenterol. 2021 Dec 21;27(47):8103-8122. doi: 10.3748/wjg.v27.i47.8103.
8
Artificial intelligence and computer-aided diagnosis for colonoscopy: where do we stand now?结肠镜检查的人工智能与计算机辅助诊断:我们目前的进展如何?
Transl Gastroenterol Hepatol. 2021 Oct 25;6:64. doi: 10.21037/tgh.2019.12.14. eCollection 2021.
9
The Workgroup Serrated Polyps and Polyposis (WASP) classification for optical diagnosis of colorectal diminutive polyps with iScan and the impact of the revised World Health Organization (WHO) criteria.工作组锯齿状息肉和息肉病(WASP)分类用于 iScan 光学诊断结直肠微小息肉和修订后的世界卫生组织(WHO)标准的影响。
United European Gastroenterol J. 2021 Sep;9(7):819-828. doi: 10.1002/ueg2.12129. Epub 2021 Sep 3.
10
Artificial intelligence in colonoscopy.结肠镜检查中的人工智能。
World J Gastroenterol. 2021 Aug 7;27(29):4802-4817. doi: 10.3748/wjg.v27.i29.4802.