摘要
人表皮生长因子受体2(HER-2)阳性乳腺癌是乳腺癌的一种特殊亚型,其生长速度较快,侵袭性和复发率较高。MRI是诊断和评估该类型乳腺癌的关键方法,常规MRI检查可以观察肿瘤的形态特征及与周围组织的关系;动态对比增强MRI可以反映乳腺病变的动力学特征、血管供应和渗透性;近年来,影像组学和深度学习等人工智能技术在医学影像领域中的广泛应用,为HER-2阳性乳腺癌精准、高效的影像学评估做出重大贡献。本文对多参数MRI在HER-2阳性乳腺癌的应用进展进行综述。
Human epidermal growth factor receptor 2(HER-2)positive breast cancer is a special subtype of breast cancer,which grows faster and is characterized by higher invasiveness and recurrence rate.MRI is a key method for diagnosing and evaluating this type of breast cancer.Conventional MRI examination can observe the morphologic features of the tumor and its relationship with the surrounding tissues.DCE-MRI can reflect the kinetic features,vascular supply and permeability of the breast lesion.In recent years,the wide application of artificial intelligence technologies such as imaging histology and deep learning in the field of medical imaging has made a significant contribution to the accurate and efficient imaging assessment of HER-2 positive breast cancer.This article reviews the progress of multimodal multiparametric MRI in HER-2 positive breast cancer.
作者
王小芳
钱丽霞
邢君
WANG Xiaofang;QIAN Lixia;XING Jun(Department of Radiology,Shanxi Bethune Hospital,Shanxi Academy of Medical Sciences,Taiyuan 030032,China;不详)
出处
《中国医学影像学杂志》
北大核心
2025年第7期791-795,共5页
Chinese Journal of Medical Imaging
基金
山西省医学重点科研项目(2022XM01)。
关键词
乳腺肿瘤
磁共振成像
受体
ERBB-2
人工智能
综述
Breast neoplasms
Magnetic resonance imaging
Receptor,ErbB-2
Artificial intelligence
Review
