人工智能辅助光学相干断层扫描在消化道肿瘤诊断中的应用现状  

Current status of artificial intelligence-assisted optical coherence tomography in the diagnosis of digestive tract tumors

作　　者：李俊杰 窦维佳 王新 Li Jun-Jie;Dou Wei-Jia;Wang Xin(Department of Gastroenterology,the Second Affiliated Hospital of Air Force Medical University,Xi'an,Shaanxi 710038,China;Department of Gastroenterology,63600 Army Hospital of Chinese PLA,Lanzhou,Gansu 732750,China)

机构地区：[1]空军军医大学第二附属医院消化内科,陕西西安710038 [2]解放军63600部队医院消化内科,甘肃兰州732750

出　　处：《解放军医学杂志》2025年第1期16-21,共6页Medical Journal of Chinese People's Liberation Army

基　　金：陕西省重点研发计划(2021SF-182);空军军医大学临床研究资助计划项目(2022LC2231)。

摘　　要：消化道肿瘤的发病率及病死率均较高,其诊疗现状不容乐观,而早期诊断有利于提高患者的生存率和生活质量。目前已有多种内镜成像技术成功应用于消化道肿瘤的诊断,但各有利弊,其中内镜光学相干断层扫描(OCT)成像以其无创及高分辨率的优势而崭露头角,在浅表消化道肿瘤的分期诊断中具有重要应用价值,其海量图像随着人工智能(AI)技术的进步可得到有效处理,使AI辅助OCT在消化道肿瘤的诊断中展现了良好的应用前景。本文综述了OCT的原理及发展,并探讨了AI辅助OCT在消化道肿瘤诊断中进行深度学习的潜力。Diagnosis and treatment of digestive tract tumors is not optimistic with high incidence and mortality.Early diagnosis is conducive to improving the survival rate and quality of life of the patients.A variety of endoscopic imaging techniques have been applied in the diagnosis of digestive tract tumors,each with its own advantages and disadvantages.Optical coherence tomography(OCT)has emerged as a non-invasive and high-resolution imaging technique with unique advantages in staging and diagnosis of superficial digestive tract tumors.The complexity of massive image processing has also been effectively addressed with the development of artificial intelligence(AI),and AI-assisted OCT imaging,especially in the diagnosis of digestive tract tumors,has shown good prospects.This review summarizes the principle and development of OCT,and discusses the potential of AI-assisted OCT for deep learning in the diagnosis of digestive tract tumors.

关 键 词：光学相干断层扫描 消化道肿瘤 人工智能 诊断 

分 类 号：R735[医药卫生—肿瘤]