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Clinical and DCE-MRI features of breast cancer in patients with different Ki-67 status / 中国医学影像技术
Chinese Journal of Medical Imaging Technology ; (12): 1657-1662, 2019.
Article in Chinese | WPRIM | ID: wpr-861170
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.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study Language: Chinese Journal: Chinese Journal of Medical Imaging Technology Year: 2019 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study Language: Chinese Journal: Chinese Journal of Medical Imaging Technology Year: 2019 Type: Article