影像组学在胃癌诊疗中的应用  

Application of radiomics in the diagnosis and treatment of gastric cancer

作　　者：郑雨欣 方梦捷 李海林[2] 操润楠 赵洵 刘圣圆 田捷 董迪[1,3,4] ZHENG Yuxin;FANG Mengjie;LI Hailin;CAO Runnan;ZHAO Xun;LIU Shengyuan;TIAN Jie;DONG Di(School of Computer Science and Technology,University of Chinese Academy of Sciences,Beijing 100049,China;Beijing Advanced Innovation Center for Big Data-Based Precision Medicine,School of Engineering Medicine,Beihang University,Beijing 100191,China;School of Artificial Intelligence,University of Chinese Academy of Sciences,Beijing 100049,China;CAS Key Laboratory of Molecular Imaging,Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China)

机构地区：[1]中国科学院大学计算机科学与技术学院,北京100049 [2]北京航空航天大学医学科学与工程学院大数据精准医疗高精尖创新中心,北京100191 [3]中国科学院大学人工智能学院,北京100049 [4]中国科学院自动化研究所中国科学院分子影像重点实验室,北京100190

出　　处：《中国体视学与图像分析》2022年第3期209-219,共11页Chinese Journal of Stereology and Image Analysis

基　　金：国家自然科学基金(82022036,91959130,81971776);中国科学院青年创新促进会(Y2021049)

摘　　要：胃癌是我国的高发癌种之一,严重危害我国人民的健康。如何基于影像实现定量化、个体化、精准化的辅助诊疗是提高胃癌患者五年生存率的关键之一。近年来人工智能与医学影像的结合催生了影像组学技术,本文从影像组学流程、影像组学在胃癌诊疗中的应用、挑战与机遇三个方面综述胃癌影像组学的研究进展。首先,本文回顾了影像组学的基本流程,包括数据收集和预处理、感兴趣区域分割、特征提取、特征筛选、模型构建、模型评估等步骤。其次,本文概述了影像组学在早期胃癌筛查、胃癌分型分期诊断、胃癌疗效分析与预后预测等方面的应用。最后,本文讨论了胃癌影像组学研究面临的挑战性问题和发展机遇。Gastric cancer is one of the most common types of cancer in China and with a low five-year survival rate.It seriously endangers the health of Chinese people.At present,the clinical diagnosis and treatment of gastric cancer mostly rely on medical imaging and the experience of clinicians.How to achieve quantitative,individualized and precise diagnosis and treatment is the key to improving the fiveyear survival rate of gastric cancer patients.In recent years,the combination of artificial intelligence and medical imaging has spawned radiomics technology,which uses artificial intelligence to mine high-dimensional quantitative features from medical images and assists the diagnosis and treatment of diseases.Radiomics has formed some typical clinical application cases in gastric cancer.This paper reviews the research progress of radiomics in gastric cancer from three aspects,including the introduction of radiomics pipeline,application cases of radiomics in gastric cancer,challenges and opportunities.Firstly,this paper introduces the basic process of radiomics,including data collection and preprocessing,region of interest segmentation,feature extraction,feature selection,model construction and evaluation.Then,this paper summarizes the application of radiomics in gastric cancer screening,diagnosis of subtypes and stages,treatment response evaluation and prognosis prediction.Finally,this paper discusses the challenges and development opportunities of research in gastric cancer radiomics.

关 键 词：胃癌 影像组学 人工智能 临床应用 

分 类 号：R735.2[医药卫生—肿瘤] R445[医药卫生—临床医学]