摘要
乳腺癌是女性发病率排名首位且致死率排名前五的肿瘤,其预后因素复杂。近年来,MRI积极探索与乳腺癌预后相关的影像学标志物,包括形态学、血流动力学、功能成像、影像组学等诸多参数。研究证实了肿瘤大小及边缘、非肿块样强化、边缘强化、瘤周水肿、背景强化是预后相关的形态学参数;血流动力学时间—强度曲线(time-intensity curve,TIC)及定量、半定量参数在不同程度上与预后相关;尽管还存在一些争议,弥散加权成像(diffusion-weighted imaging,DWI)及其衍生技术在乳腺癌预后中显示出巨大的预测潜力;基于MRI的影像组学进一步揭示了更多与预后相关的高维度参数,计算机引导的人工智能正在兴起。本文就术前MRI预测乳腺癌预后的研究进展进行综述,为本领域下一步的相关研究提供参考。
Breast cancer is the most common cancer in women and the top 5 in terms of mortality,and its prognostic factors are complex.In recent years,MRI has actively explored imaging markers related to breast cancer prognosis,including morphology,hemodynamics,functional imaging,radiomics and many other parameters.The study confirmed that tumor size and edge,non-mass-like enhancement,rim enhancement,peritumoral edema,and background enhancement are morphological parameters related to prognosis;hemodynamic time-intensity curves(TIC)and quantitative and semi-quantitative parameters are associated with prognosis to varying degrees;although there are still some controversies,diffusion-weighted imaging(DWI)and its derived techniques have shown great potential in prognosis prediction;MRI-based radiomics has further revealed more high-dimensional parameters related to prognosis,and computer-guided artificial intelligence is emerging.This article reviews the research progress of preoperative MRI in predicting the prognosis of breast cancer,and provides a reference for the next related research in this field.
作者
边小倩
杜思瑶
张立娜
BIAN Xiaoqian;DU Siyao;ZHANG Lina(Department of Radiology,the First Affiliated Hospital of China Medical University,Shenyang 110001,China)
出处
《磁共振成像》
CAS
CSCD
北大核心
2022年第6期147-150,共4页
Chinese Journal of Magnetic Resonance Imaging
基金
科技部重大慢性非传染性疾病防控研究重点专项(编号:2017YFC1309100)。
关键词
乳腺癌
磁共振成像
动态增强磁共振成像
弥散加权成像
影像组学
人工智能
预后
综述
breast cancer
magnetic resonance imaging
dynamic contrast-enhanced magnetic resonance imaging
diffusion-weighted imaging
radiomics
artificial intelligence
prognosis
review
