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结肠肿瘤的先进内镜成像技术

Advanced Endoscopic Imaging in Colonic Neoplasia.

作者信息

Rath Timo, Morgenstern Nadine, Vitali Francesco, Atreya Raja, Neurath Markus F

机构信息

Ludwig Demling Endoscopy Center of Excellence, University Hospital Erlangen, Friedrich Alexander University Erlangen-Nuremberg, Erlangen, Germany.

出版信息

Visc Med. 2020 Feb;36(1):48-59. doi: 10.1159/000505411. Epub 2020 Jan 21.

DOI:10.1159/000505411
PMID:32110657
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7036553/
Abstract

BACKGROUND

Endoscopic imaging is a rapidly evolving field with a constant influx of new concepts and technologies. Since the introduction of video endoscopy and subsequently high-definition imaging as the first revolutions in gastrointestinal endoscopy, several technologies of virtual chromoendoscopy have been developed and brought to the market in the past decade, which have shaped and revolutionized for a second time our approach to endoscopic imaging. In parallel to these developments, microscopic imaging technologies, such as endomicroscopy and endocytoscopy, allow us to examine single cells within the mucosa in real time, thereby enabling histological diagnoses during ongoing endoscopy.

SUMMARY

In this review, we provide an overview on the technical background of different technologies of advanced endoscopic imaging, and then review and discuss their role and applications for the diagnosis and management of colorectal neoplasms as well as limitations and challenges that exist despite all technological improvements.

KEY MESSAGES

Technologies of advanced endoscopic imaging have profound impact not only on our imaging capabilities, they are also about to fundamentally change our approach to managing lesions in the gastrointestinal tract: not every lesion found during colonoscopy has to be excised or sent for histopathologic evaluation. However, before this becomes widespread reality, major obstacles such as patient acceptance, adoption by less trained endoscopists, and also legal aspects need to carefully addressed. The development of computer-aided diagnosis and artificial intelligence algorithms hold the potential to overcome the obstacles associated with the concept of optical biopsy and will most likely fundamentally facilitate, shape, and change decision making in the management of colorectal lesions.

摘要

背景

内镜成像领域发展迅速,新概念和新技术不断涌入。自视频内镜问世以及随后高清成像成为胃肠内镜的首次变革以来,在过去十年中,多种虚拟染色内镜技术得以研发并推向市场,这再次塑造并彻底改变了我们的内镜成像方法。与这些发展并行的是,显微成像技术,如内镜显微镜检查和内镜细胞检查,使我们能够实时检查黏膜内的单个细胞,从而在进行内镜检查时实现组织学诊断。

总结

在本综述中,我们概述了不同先进内镜成像技术的技术背景,然后回顾并讨论了它们在结直肠肿瘤诊断和管理中的作用及应用,以及尽管技术有了诸多改进但仍存在的局限性和挑战。

关键信息

先进内镜成像技术不仅对我们的成像能力有深远影响,它们还即将从根本上改变我们处理胃肠道病变的方法:并非结肠镜检查中发现的每个病变都必须切除或送去进行组织病理学评估。然而,在这成为普遍现实之前,诸如患者接受度、经验较少的内镜医师采用情况以及法律方面等主要障碍都需要仔细加以解决。计算机辅助诊断和人工智能算法的发展有可能克服与光学活检概念相关的障碍,并很可能从根本上促进、塑造和改变结直肠病变管理中的决策制定。

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本文引用的文献

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Artificial Intelligence-assisted System Improves Endoscopic Identification of Colorectal Neoplasms.人工智能辅助系统提高结直肠肿瘤的内镜识别率。
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Impact of linked-color imaging on colorectal adenoma detection.联合显色成像对结直肠腺瘤检测的影响。
Gastrointest Endosc. 2019 Nov;90(5):826-834. doi: 10.1016/j.gie.2019.06.045. Epub 2019 Jul 11.
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Molecular imaging within the lower gastrointestinal tract: From feasibility to future.下消化道内的分子影像学:从可行性到未来。
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I-scan optical enhancement for the in vivo prediction of diminutive colorectal polyp histology: Results from a prospective three-phased multicentre trial.I-scan 光学增强在预测微小结直肠息肉组织学中的应用:来自前瞻性三期多中心试验的结果。
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Linked color imaging reduces the miss rate of neoplastic lesions in the right colon: a randomized tandem colonoscopy study.联动彩色成像降低右半结肠癌性病变的漏诊率:一项随机串联结肠镜检查研究
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Linked color imaging enhances endoscopic detection of sessile serrated adenoma/polyps.联动成像增强了内镜下对无蒂锯齿状腺瘤/息肉的检测。
Endosc Int Open. 2018 Mar;6(3):E322-E334. doi: 10.1055/s-0043-124469. Epub 2018 Mar 7.
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Use of endocytoscopy for identification of sessile serrated adenoma/polyps and hyperplastic polyps by quantitative image analysis of the luminal areas.通过对管腔区域进行定量图像分析,利用内镜检查法鉴别无蒂锯齿状腺瘤/息肉和增生性息肉。
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Accuracy of computer-aided diagnosis based on narrow-band imaging endocytoscopy for diagnosing colorectal lesions: comparison with experts.基于窄带成像内镜检查的计算机辅助诊断对结直肠病变的诊断准确性:与专家的比较。
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