Advances in Multiparametric MRI Diagnosis of HER-2 Positive Breast Cancer
10.3969/j.issn.1005-5185.2025.07.019
- VernacularTitle:多参数MRI在诊断HER-2阳性乳腺癌中的研究进展
- Author:
Xiaofang WANG
1
;
Lixia QIAN
;
Jun XING
Author Information
1. 山西医科大学医学影像学院,山西 太原 030001
- Publication Type:Journal Article
- Keywords:
Breast neoplasms;
Magnetic resonance imaging;
Receptor,ErbB-2;
Artificial intelligence;
Review
- From:
Chinese Journal of Medical Imaging
2025;33(7):791-795
- CountryChina
- Language:Chinese
-
Abstract:
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.
