Magnetic resonance differential analysis for different hormone receptor expression status in HER-2-positive breast cancer.
10.11817/j.issn.1672-7347.2023.220096
- Author:
Ziqin ZOU
1
;
Yanfang HUANG
2
;
Zhihui ZHOU
2
;
Yu YANG
3
Author Information
1. 2021 Graduate Class, Hunan University of Traditional Chinese Medicine, Changsha 410208. 2783234713@qq.com.
2. Department of Radiotherapy, First Hospital of Hunan University of Traditional Chinese Medicine, Changsha 410021, China.
3. Department of Radiotherapy, First Hospital of Hunan University of Traditional Chinese Medicine, Changsha 410021, China. 178693936@qq.com.
- Publication Type:Journal Article
- Keywords:
breast cancer;
hormone receptor;
human epidermal growth factor receptor-2;
magnetic resonance imaging
- MeSH:
Humans;
Female;
Breast Neoplasms/surgery*;
Magnetic Resonance Imaging/methods*;
Diffusion Magnetic Resonance Imaging/methods*;
Breast;
Magnetic Resonance Spectroscopy;
Retrospective Studies
- From:
Journal of Central South University(Medical Sciences)
2023;48(1):68-75
- CountryChina
- Language:English
-
Abstract:
OBJECTIVES:Currently, it is difficult to assess the expression status of hormone receptor (HR) in breast malignant tumors with human epidermal growth factor receptor 2 (HER-2)-positive in the early preoperative stage, and it is difficult to predict whether it is non-invasively. This study aims to explore the value of MRI on the different HR expression status (HR+/HR-) in HER-2 positive breast cancer.
METHODS:Thirty patients with HR+ HER-2-positive breast cancer (HR+ group) and 23 patients with HR-HER-2-positive breast cancer (HR- group) from the First Hospital of Hunan University of Traditional Chinese Medicine between January 7, 2015 and November 26, 2021 were selected as subjects, and all the patients were examined by MRI and all were confirmed by surgery or pathological biopsy puncture. The immunohistochemical staining results were used as the gold standard to analyze the basic clinical conditions, peri-lesion conditions and MRI sign characteristics in the 2 groups.
RESULTS:There were all significant differences in terms of mass margins, internal reinforcement features, and apparent diffusion coefficient (ADC) values between the HR+ group and the HR- group (all P<0.05). The logistic multivariate regression model showed that: when the lesion presented as a mass-type breast cancer on MRI, the internal enhancement features of the lesion were an independent predictor for differentiation in the 2 types of breast cancer [odds ratio (OR)=5.95, 95% CI: 1.223 to 28.951, P<0.05], and the mass margin (OR=0.386, 95% CI: 0.137 to 1.082, P>0.05) and ADC value (OR=0.234, 95% CI: 0.001 to 105.293, P>0.05) were not the independent predictors in distinguishing the 2 types of breast cancer.
CONCLUSIONS:Multiparametric MRI has good diagnostic value for HR expression status in HER-2-positive breast cancer. Combined logistic regression analysis to construct a predictive model may be helpful to the identical diagnosis.
