人工智能在结直肠无蒂锯齿状病变中的应用进展  

Artificial intelligence in colorectal sessile serrated lesion:recent progress

作　　者：赵优冬 卫佳慧 张颂 李兆申[1] 赵胜兵[1] 柏愚[1] ZHAO Youdong;WEI Jiahui;ZHANG Song;LI Zhaoshen;ZHAO Shengbing;BAI Yu(Department of Gastroenterology,The First Affiliated Hospital of Naval Medical University(Second Military Medical University)&National Clinical Research Center for Digestive Diseases,Shanghai 200433,China)

机构地区：[1]海军军医大学(第二军医大学)第一附属医院消化内科,国家消化病临床医学研究中心,上海200433

出　　处：《海军军医大学学报》2025年第1期24-31,共8页Academic Journal of Naval Medical University

基　　金：国家自然科学基金(82170567,82300627);上海市科技创新行动计划优秀学术/技术带头人计划(22XD1425000);上海市自然科学基金面上项目(23ZR1478700)。

摘　　要：结直肠无蒂锯齿状病变(SSL)是一种重要的结直肠癌癌前病变,也是间期结直肠癌的重要原因。结直肠SSL虽然具有独特的组织结构和形态学特征,但内镜下检出率低,组织病理学诊断变异度高,是结直肠癌筛查中最易漏诊的病变之一。近年来,人工智能在结直肠疾病诊断中的应用迅速增多,已有研究发现人工智能辅助内镜技术可提高结直肠SSL的检出率和诊断准确性,辅助病理诊断可提高诊断效率和一致性。本文就当前人工智能在结直肠SSL中的应用进展进行综述。Sessile serrated lesion(SSL)is a major precancerous lesion type of colorectal cancer and one of the main causes of colorectal cancer.SSL has unique tissue structures and morphological features,with low detection rate under endoscopy and high variability in histopathological diagnosis,making it one of the most easily missed lesions in colorectal cancer screening.In recent years,the application of artificial intelligence(AI)in the diagnosis of colorectal cancer has been rapidly increasing.Previous studies have found that AI-assisted endoscopic technology can improve the detection rate and diagnostic accuracy of colorectal SSL,and AI-assisted pathological diagnosis can improve diagnostic efficiency and consistency.This article aims to provide a review of current research on AI technology in colorectal SSL.

关 键 词：人工智能 结直肠肿瘤 无蒂锯齿状病变 结肠镜检查 病理诊断 

分 类 号：R735.34[医药卫生—肿瘤] TP18[医药卫生—临床医学]