内镜下评估大肠癌病变

IF 0.9 Q4 GASTROENTEROLOGY & HEPATOLOGY
Naoto Tamai, Kazuki Sumiyama
{"title":"内镜下评估大肠癌病变","authors":"Naoto Tamai,&nbsp;Kazuki Sumiyama","doi":"10.1016/j.tige.2025.250931","DOIUrl":null,"url":null,"abstract":"<div><div>Endoscopic submucosal dissection (ESD) has emerged as an important therapeutic strategy for colorectal lesions that cannot be resected en bloc using endoscopic mucosal resection or underwater endoscopic mucosal resection, enabling en bloc resection with precise histopathologic evaluation. However, the determination of appropriate indications for ESD of large colorectal lesions remains a significant challenge. This article aimed to provide a comprehensive summary of the indications for colorectal ESD and the role of endoscopic evaluation in formulating optimal treatment strategies. Colorectal lesions with deep submucosal invasion are often associated with extensive submucosal fibrosis, presenting considerable technical difficulties during ESD. Performing ESD on such lesions has been linked to an increased additional surgical intervention and a heightened risk of procedure-related complications. Therefore, thorough preoperative assessment of the lesion is essential to ensure an appropriate treatment strategy while minimizing unnecessary risks. Accurate evaluation of colorectal lesions through white-light imaging, advanced imaging modalities such as narrow-band imaging, and chromoendoscopy are critical for assessing lesion characteristics. Furthermore, the application of artificial intelligence in lesion characterization has shown potential as a supportive tool in facilitating clinical decision-making regarding the indications for ESD. Artificial intelligence may assist endoscopists by enhancing the accuracy of lesion assessment and contributing to improved treatment planning. A comprehensive understanding of the morphologic and pathologic features of large colorectal lesions is vital to identify patients who would benefit most from ESD, while minimizing the risk of complications. This review highlights the necessity of meticulous endoscopic evaluation to enable appropriate lesion selection, ensuring the safe and effective application of ESD for large colorectal lesions and ultimately contributing to improved patient outcomes.</div></div>","PeriodicalId":36169,"journal":{"name":"Techniques and Innovations in Gastrointestinal Endoscopy","volume":"27 4","pages":"Article 250931"},"PeriodicalIF":0.9000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Endoscopic Assessment of Large Colorectal Lesions\",\"authors\":\"Naoto Tamai,&nbsp;Kazuki Sumiyama\",\"doi\":\"10.1016/j.tige.2025.250931\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Endoscopic submucosal dissection (ESD) has emerged as an important therapeutic strategy for colorectal lesions that cannot be resected en bloc using endoscopic mucosal resection or underwater endoscopic mucosal resection, enabling en bloc resection with precise histopathologic evaluation. However, the determination of appropriate indications for ESD of large colorectal lesions remains a significant challenge. This article aimed to provide a comprehensive summary of the indications for colorectal ESD and the role of endoscopic evaluation in formulating optimal treatment strategies. Colorectal lesions with deep submucosal invasion are often associated with extensive submucosal fibrosis, presenting considerable technical difficulties during ESD. Performing ESD on such lesions has been linked to an increased additional surgical intervention and a heightened risk of procedure-related complications. Therefore, thorough preoperative assessment of the lesion is essential to ensure an appropriate treatment strategy while minimizing unnecessary risks. Accurate evaluation of colorectal lesions through white-light imaging, advanced imaging modalities such as narrow-band imaging, and chromoendoscopy are critical for assessing lesion characteristics. Furthermore, the application of artificial intelligence in lesion characterization has shown potential as a supportive tool in facilitating clinical decision-making regarding the indications for ESD. Artificial intelligence may assist endoscopists by enhancing the accuracy of lesion assessment and contributing to improved treatment planning. A comprehensive understanding of the morphologic and pathologic features of large colorectal lesions is vital to identify patients who would benefit most from ESD, while minimizing the risk of complications. This review highlights the necessity of meticulous endoscopic evaluation to enable appropriate lesion selection, ensuring the safe and effective application of ESD for large colorectal lesions and ultimately contributing to improved patient outcomes.</div></div>\",\"PeriodicalId\":36169,\"journal\":{\"name\":\"Techniques and Innovations in Gastrointestinal Endoscopy\",\"volume\":\"27 4\",\"pages\":\"Article 250931\"},\"PeriodicalIF\":0.9000,\"publicationDate\":\"2025-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Techniques and Innovations in Gastrointestinal Endoscopy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2590030725000261\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"GASTROENTEROLOGY & HEPATOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Techniques and Innovations in Gastrointestinal Endoscopy","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2590030725000261","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GASTROENTEROLOGY & HEPATOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

内镜下粘膜剥离术(ESD)已成为内镜下粘膜切除术或水下内镜下粘膜切除术无法切除的结直肠病变的重要治疗策略,使整块切除术具有精确的组织病理学评估。然而,确定大结直肠病变ESD的合适适应症仍然是一个重大挑战。本文旨在全面总结结肠ESD的适应症以及内镜评估在制定最佳治疗策略中的作用。结肠直肠深部粘膜下病变常伴有广泛的粘膜下纤维化,在ESD中存在相当大的技术困难。在此类病变上实施ESD会增加额外的手术干预,并增加手术相关并发症的风险。因此,全面的术前评估病变是必要的,以确保适当的治疗策略,同时尽量减少不必要的风险。通过白光成像、窄带成像等先进成像方式以及彩色内镜对结直肠病变进行准确评估是评估病变特征的关键。此外,人工智能在病变表征中的应用已显示出作为促进ESD适应症临床决策的支持工具的潜力。人工智能可以通过提高病变评估的准确性和改进治疗计划来帮助内窥镜医生。全面了解大肠癌病变的形态和病理特征对于确定从ESD中获益最多的患者至关重要,同时将并发症的风险降至最低。这篇综述强调了仔细的内镜评估的必要性,以确保适当的病变选择,确保ESD在大肠癌病变中的安全有效应用,并最终有助于改善患者的预后。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Endoscopic Assessment of Large Colorectal Lesions
Endoscopic submucosal dissection (ESD) has emerged as an important therapeutic strategy for colorectal lesions that cannot be resected en bloc using endoscopic mucosal resection or underwater endoscopic mucosal resection, enabling en bloc resection with precise histopathologic evaluation. However, the determination of appropriate indications for ESD of large colorectal lesions remains a significant challenge. This article aimed to provide a comprehensive summary of the indications for colorectal ESD and the role of endoscopic evaluation in formulating optimal treatment strategies. Colorectal lesions with deep submucosal invasion are often associated with extensive submucosal fibrosis, presenting considerable technical difficulties during ESD. Performing ESD on such lesions has been linked to an increased additional surgical intervention and a heightened risk of procedure-related complications. Therefore, thorough preoperative assessment of the lesion is essential to ensure an appropriate treatment strategy while minimizing unnecessary risks. Accurate evaluation of colorectal lesions through white-light imaging, advanced imaging modalities such as narrow-band imaging, and chromoendoscopy are critical for assessing lesion characteristics. Furthermore, the application of artificial intelligence in lesion characterization has shown potential as a supportive tool in facilitating clinical decision-making regarding the indications for ESD. Artificial intelligence may assist endoscopists by enhancing the accuracy of lesion assessment and contributing to improved treatment planning. A comprehensive understanding of the morphologic and pathologic features of large colorectal lesions is vital to identify patients who would benefit most from ESD, while minimizing the risk of complications. This review highlights the necessity of meticulous endoscopic evaluation to enable appropriate lesion selection, ensuring the safe and effective application of ESD for large colorectal lesions and ultimately contributing to improved patient outcomes.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
2.10
自引率
50.00%
发文量
60
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信