Suppr超能文献

2024 年的结肠息肉成像。

Imaging colonic polyps in 2024.

机构信息

Department of Gastroenterology, Hepatology and Clinical Nutrition, Aster CMI Hospital, Bengaluru, 560 092, India.

出版信息

Indian J Gastroenterol. 2024 Oct;43(5):954-965. doi: 10.1007/s12664-024-01679-y. Epub 2024 Sep 30.

Abstract

Screening colonoscopy and polypectomy are the cornerstone in decreasing the incidence and mortality of colorectal cancer. Despite the low incidence of colorectal cancer in India, there has been a rising trend in the incidence of colonic polyps and cancer over the last decade. It is, hence, imperative that we are well equipped in the management of colonic polyps. Adequate training in the detection and characterization of polyps to aid in their management is necessary. Detection of polyps can be increased by adhering to the standards of colonoscopy, including good bowel preparation, cecal intubation rate, adequate withdrawal time and use of distal attachment devices. A detected polyp needs optimal characterization to predict histology in real time and decide on the management strategies. Characterization of the polyps requires high-definition-white light endoscopy and/or image-enhanced endoscopy (dye based or digital). Various factors that help in predicting histology include size, location and morphology of the polyp and the pit pattern, vascular and surface pattern of the polyp. Polyps can be differentiated as neoplastic or non-neoplastic with reasonable accuracy with the above features. Prediction of advanced pathology including high-grade dysplasia and deep sub-mucosal invasion is essential, as it helps in deciding if the lesion is amenable to endotherapy and the technique of endoscopic resection. Adequate training in image-enhanced endoscopy is necessary to assess advanced pathology in polyps. Technology pertaining to image-enhanced endoscopy includes narrow banding imaging and blue laser imaging; newer variations are being introduced every few years making it necessary to be abreast with growing information. The recent advances in gastrointestinal (GI) endoscopy with the advent of endocytoscopy and artificial intelligence seem promising and are predicted to be the future of GI endoscopy.

摘要

筛查结肠镜检查和息肉切除术是降低结直肠癌发病率和死亡率的基石。尽管印度结直肠癌的发病率较低,但在过去十年中,结肠息肉和癌症的发病率呈上升趋势。因此,我们必须很好地掌握结肠息肉的治疗方法。必须进行足够的培训,以提高对息肉的检测和特征描述能力,从而有助于对其进行管理。通过遵守结肠镜检查的标准,包括良好的肠道准备、盲肠插管率、足够的退出时间和使用远端附件设备,可以增加息肉的检出率。检出的息肉需要进行最佳的特征描述,以实时预测组织学并决定管理策略。息肉的特征描述需要高清白光内镜和/或图像增强内镜(基于染料或数字)。有助于预测组织学的各种因素包括息肉的大小、位置和形态以及息肉的pit 模式、血管和表面模式。通过上述特征,息肉可以具有合理的准确性来区分肿瘤性或非肿瘤性。预测高级病理学,包括高级别异型增生和深部黏膜下浸润,是必要的,因为它有助于决定病变是否适合内镜治疗和内镜切除技术。需要进行足够的图像增强内镜培训,以评估息肉中的高级别病理学。与图像增强内镜相关的技术包括窄带成像和蓝激光成像;每隔几年就会推出新的变化,因此必须了解不断增长的信息。随着内镜内细胞学检查和人工智能的出现,胃肠道内镜的最新进展似乎很有前景,并有望成为胃肠道内镜的未来。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验