Clinical and DCE-MRI features of breast cancer in patients with different Ki-67 status
10.13929/j.1003-3289.201902066
- Author:
Fengshan YAN
1
Author Information
1. Department of Radiology, Henan Provincial People's Hospital & Zhengzhou University People's Hospital
- Publication Type:Journal Article
- Keywords:
Breast neoplasms;
Ki-67;
Magnetic resonance imaging
- From:
Chinese Journal of Medical Imaging Technology
2019;35(11):1657-1662
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To investigate the relationship of clinical and dynamic enhanced MRI (DCE-MRI) characteristics of breast cancer in patients with different proliferative antigen index (Ki-67) status. Methods: A total of 340 patients with breast cancer confirmed by surgical pathology were enrolled. All patients underwent breast DCE-MRI scanning before operation, and the pathological samples were stained with Ki-67 for immunohistochemistry. According to the status of Ki-67, the patients were divided into low-expression (Ki-6714%) group and high-expression (Ki-67≥14%) group. Clinical characteristics (patient's age, mass size, lymph node metastasis status, estrogen receptor, progesterone receptor and human epidermal growth factor receptor 2) and DCE-MRI features (morphology, edge, T2WI signal, time-signal intensity curve type) were compared between Ki-67 low-expression and high-expression patients. Results: In Ki-67 low-expression and the high-expression patients, there were not statistically significance in median age, lymph node metastasis status, morphology and T2WI signal (P=0.276, 0.124, 0.283, 0.587), there were significant differences in the mass size, histological grade, estrogen receptor, progesterone receptor, human epidermal growth factor receptor 2, margin, enhancement type and time-signal intensity curve type (all P<0.05). Conclusion: There are some differences in the clinical features and DCE-MRI imaging signs of breast cancer patients with different Ki-67 expression status, which is helpful to guide clinical treatment decision and estimate prognosis.
