人工智能及影像组学在术前预测胰腺导管腺癌淋巴结转移中的研究进展  

Research progress of artificial intelligence and radiomics in preoperative prediction of lymph node metastasis in pancreatic ductal adenocarcinoma

作　　者：李锐彤 赵海峰 王晓东 陈甜甜 王晓欢 张璇[1,2] 张皓 LI Ruitong;ZHAO Haifeng;WANG Xiaodong;CHEN Tiantian;WANG Xiaohuan;ZHANG Xuan;ZHANG Hao(The First Clinical Medical College of Lanzhou University,Lanzhou 730000,China;Intelligent Imaging Medical Engineering Research,Department of Radiology,the First Hospital of Lanzhou University,Lanzhou 730000,China)

机构地区：[1]兰州大学第一临床医学院,兰州730000 [2]兰州大学第一医院放射科甘肃省智能影像医学工程研究中心,兰州730000

出　　处：《磁共振成像》2025年第3期211-215,共5页Chinese Journal of Magnetic Resonance Imaging

摘　　要：胰腺导管腺癌(pancreatic ductal adenocainoma,PDAC)恶性程度极高且预后极差,淋巴结转移是其晚期和不良预后极为重要的指标。术前预测PDAC的淋巴结转移有助于临床医生确定最佳手术方法及淋巴结清扫范围,提高患者的术后生存率。传统影像学检查难以对其进行准确预测,人工智能(artificial intelligence,AI)及影像组学因能够发现肉眼难以观察到的影像学特征及提取图像中的定量信息而逐渐被广泛应用。本文就近年来AI在术前评估PDAC淋巴结转移中的研究进行综述,旨在为AI及影像组学在术前预测PDAC淋巴结转移中的应用和研究方向提供参考,以辅助临床为患者提供更精准有效的治疗方案。Pancreatic ductal adenocainoma(PDAC) is extremely malignant and has a very poor prognosis.Lymph node metastasis is a very important indicator of its advanced and poor prognosis.Preoperative prediction of lymph node metastasis of PDAC can help clinicians determine the best surgical method and lymph node dissection range,and improve the postoperative survival rate of patients.It is difficult for traditional imaging examination to accurately predict it.Artificial intelligence(AI) and imaging omics are gradually widely used because they can find imaging features that are difficult to be observed by the naked eye and extract quantitative information from images.This review summarizes the researches of AI in preoperative evaluation of PDAC lymph node metastasis in recent years,aiming to provide reference for the future application and research direction of AI and imaging omics in preoperative prediction of PDAC lymph node metastasis,so as to assist the clinic to provide patients with more accurate and effective treatment plans.

关 键 词：胰腺癌 胰腺导管腺癌 淋巴结转移 计算机断层扫描 磁共振成像 影像组学 人工智能 早期诊断 

分 类 号：R445.2[医药卫生—影像医学与核医学] R735.9[医药卫生—诊断学]