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息肉组织学预测工具。

Tools for polyp histology prediction.

作者信息

Saligram Shreyas, Rastogi Amit

机构信息

University of Kansas School of Medicine, University of Kansas, Department of Gastroenterology, 3901 Rainbow Blvd, Kansas City, KS 66160, USA; Veterans Affairs Medical Center, Department of Gastroenterology, 4801 Linwood Blvd, Kansas City, MO 64128, USA.

University of Kansas School of Medicine, University of Kansas, Department of Gastroenterology, 3901 Rainbow Blvd, Kansas City, KS 66160, USA; Veterans Affairs Medical Center, Department of Gastroenterology, 4801 Linwood Blvd, Kansas City, MO 64128, USA.

出版信息

Gastrointest Endosc Clin N Am. 2015 Apr;25(2):261-86. doi: 10.1016/j.giec.2014.11.009.

Abstract

Although removal of adenomatous polyps has been shown to decrease the risk of colon cancer, distal hyperplastic polyps are thought to not have malignant potential. Most polyps detected during colonoscopy are diminutive (≤ 5 mm) and rarely harbor advanced histology, such as high-grade dysplasia or cancer. Therefore, predicting histology in real-time during colonoscopy can potentially decrease the enormous expenditure that ensues from universal histopathologic evaluation of polyps, and several novel imaging technologies have been developed and tested over the past decade for this purpose. Of these different technologies, electronic chromoendoscopy seems to strike a fair balance between accuracy, feasibility, and cost.

摘要

虽然已证明切除腺瘤性息肉可降低患结肠癌的风险,但远端增生性息肉被认为没有恶变潜能。结肠镜检查期间发现的大多数息肉都很小(≤5毫米),很少有高级别组织学特征,如高级别异型增生或癌症。因此,在结肠镜检查期间实时预测组织学特征有可能减少因对息肉进行全面组织病理学评估而产生的巨额费用,在过去十年中,已经为此开发并测试了几种新型成像技术。在这些不同的技术中,电子染色内镜检查似乎在准确性、可行性和成本之间达到了合理的平衡。

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