内镜超声对食管上皮下病变的诊断价值:综述。

IF 1.4 4区 医学 Q2 MEDICINE, GENERAL & INTERNAL Medicine Pub Date : 2024-11-15 DOI:10.1097/MD.0000000000040419
Wanwen Li, Mengqi Shao, Shichen Hu, Shenglong Xie, Bin He
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引用次数: 0

摘要

食管上皮下病变(ESELs)包含多种疾病,包括食管癌、颗粒细胞瘤、血管瘤、脂肪瘤、间质瘤、食管癌、裂隙瘤、神经内分泌肿瘤等。这些病变通常无症状,因此临床诊断率普遍较低。诊断 ESEL 的常用成像技术包括传统内窥镜检查、螺旋计算机断层扫描和内窥镜超声检查(EUS)。其中,EUS 目前被认为是诊断 ESEL 最准确的方法之一。近年来,EUS 越来越多地与人工智能、粘膜下生理盐水注射、高频阻抗测量和增强成像等先进技术相结合,以提高诊断准确性并减少漏诊。本文回顾了 EUS 在诊断食管粘膜下病变中的应用和最新进展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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The diagnostic value of endoscopic ultrasound for esophageal subepithelial lesions: A review.

Esophageal subepithelial lesions (ESELs) encompass a variety of diseases, including leiomyoma, granular cell tumors, hemangioma, lipoma, stromal tumors, leiomyosarcoma, schwannoma, neuroendocrine tumors and more. These lesions often present asymptomatically, leading to a generally low clinical diagnosis rate. Common imaging techniques for diagnosing ESELs include conventional endoscopy, spiral computed tomography, and endoscopic ultrasound (EUS). Among these, EUS is currently regarded as one of the most accurate methods for diagnosing ESELs. In recent years, EUS has increasingly been combined with advanced technologies such as artificial intelligence, submucosal saline injection, high-frequency impedance measurement, and enhanced imaging to improve diagnostic accuracy and reduce missed diagnoses. This article reviews the application and recent advancements of EUS in diagnosing esophageal submucosal lesions.

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来源期刊
Medicine
Medicine 医学-医学:内科
CiteScore
2.80
自引率
0.00%
发文量
4342
审稿时长
>12 weeks
期刊介绍: Medicine is now a fully open access journal, providing authors with a distinctive new service offering continuous publication of original research across a broad spectrum of medical scientific disciplines and sub-specialties. As an open access title, Medicine will continue to provide authors with an established, trusted platform for the publication of their work. To ensure the ongoing quality of Medicine’s content, the peer-review process will only accept content that is scientifically, technically and ethically sound, and in compliance with standard reporting guidelines.
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