The purpose of this study is to further use DCE-MRI and ivim-dwi to predict the chemotherapy sensitivity of liver metastasis of breast cancer at an early stage, and to predict the treatment response of tumor at an early stage by using the changes of their functional parameters, and to compare the efficacy and advantages of IVIM functional parameters and DCE-MRI parameters in predicting the efficacy.To explore the efficacy of "perfusion" and "diffusion" parameters of magnetic resonance imaging as "biomarkers" for early prediction of chemotherapy response and prognosis of breast cancer patients with liver metastasis. And to provide guidance for optimizing the clinical treatment scheme of breast cancer patients with liver metastasis. At the same time, this study will use the method of artificial intelligence to deeply mine the images, and further find out the indicators for early prediction of the therapeutic effect of liver metastasis of breast cancer.
The first MR examination was arranged within 7 days before treatment (baseline). The MRI scanning sequence included conventional T1, T2 weighted imaging, T1+dynamic contrast enhanced imaging, and IVIM-DWI imaging.The second and third MR examinations were arranged within 7 days after the first chemotherapy and the second chemotherapy. The examination steps and parameters were the same as those of the first examination.
Study Type
OBSERVATIONAL
Enrollment
40
All patients were given 2 cycles of chemotherapy, including the chemotherapy recommended by the clinical treatment guidelines for advanced metastatic breast cancer, which can be combined with targeted or immune or endocrine therapy.
Zhejiang Cancer Hospital
Hangzhou, Zhejiang, China
RECRUITINGCorrelation between DCE-MRI parameters combined with IVIM parameters and short-term efficacy of chemotherapy in patients with liver metastasis of breast cancer
Correlation between DCE-MRI parameters (Ktrans, Ve, Kep) combined with IVIM parameters (D\*, D, f) and short-term efficacy of chemotherapy in patients with liver metastasis of breast cancer
Time frame: September 2025
Correlation between DCE-MRI parameters combined with IVIM parameters and long-term efficacy of chemotherapy in patients with liver metastasis of breast cancer
Correlation between DCE-MRI parameters (Ktrans, Ve, Kep) combined with IVIM parameters (D\*, D, f) and long-term efficacy of chemotherapy in patients with liver metastasis of breast cancer
Time frame: September 2025
The consistency of DCE-MRI parameters and IVIM parameters between different observers and the same observer.
The consistency of DCE-MRI parameters and IVIM parameters between different observers and the same observer.
Time frame: September 2025
Using artificial intelligence method to deeply mine images, find out new indicators to predict the curative effect of liver metastasis treatment of breast cancer in early stage.
Using artificial intelligence method to deeply mine images, find out new indicators to predict the curative effect of liver metastasis treatment of breast cancer in early stage.
Time frame: September 2025
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