摘要
乳腺癌发病率位居女性恶性肿瘤首位,MRI因其良好的组织分辨率、无辐射等优点在乳腺癌诊断、治疗及预后等方面发挥了巨大作用,并已经进行了大量的研究。随着高精度诊疗数据越来越多,乳腺MRI影像组学表现出越来越大的潜力。本研究检索了PubMed及中国知网、万方数据库中有关MRI影像组学在乳腺癌预后研究中的文献,并对其所用软件、研究过程及研究成果进行了总结和分析。本文重点对MRI影像组学在乳腺癌预后中所使用的研究方法,例如平台选择、图像分割、特征提取、验证队列选择、图像选择,以及联合模型预后应用两方面进行了综述,为专注于乳腺癌患者预后治疗的临床医生提供有价值的影像学信息,助力乳腺癌精准治疗。
Breast cancer is the most prevalent malignant tumor in women.MRI has played a great role in the diagnosis,treatment,and prognosis of breast cancer due to its good tissue resolution and absence of radiation,and a lot of research has been conducted.With the increasing availability of high-precision diagnosis and treatment data,breast MRI imaging histology has shown the potential to be used more and more.The study searched PubMed,China Knowledge Network,and Wanfang database for literature on MRI imaging histology in breast cancer prognosis research,and summarized and analyzed the software used,the research process,and the research results.This paper focuses on the research methods,such as platform selection,image segmentation,feature extraction,verification queue selection,and image selection,used in MRI imaging histology in breast cancer prognosis and the prognostic application of combined models,to provide valuable imaging information to clinicians focusing on the prognosis of breast cancer patients and to assist in the precision treatment of breast cancer.
作者
李忠远
欧阳爱梅
LI Zhongyuan;OUYANG Aimei(School of Medical Imaging,Weifang Medical University,Weifang 261053,China;Department of Imaging,Central Hospital Affiliated to Shandong First Medical University,Jinan 250014,China)
出处
《磁共振成像》
CAS
CSCD
北大核心
2023年第9期141-147,共7页
Chinese Journal of Magnetic Resonance Imaging
基金
济南市科技创新发展计划(编号:202019036)。
关键词
乳腺癌
影像组学
预后
放射学
磁共振成像
特征提取
联合模型
breast cancer
radiomics
prognosis
radiology
magnetic resonance imaging
feature extraction
joint model
