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• Editorial •
Advances and challenges of MRI in breast
XU Jian-rong 

DOI:10.12015/issn.1674-8034.2017.03.001.


[Abstract] With the rapid increase of the incidence of breast cancer in China, the early diagnosis of breast cancer becomes more and more important. In recent years, MRI functional imaging technology develop rapidly, bringing about new ideas for the early diagnosis and predicting the prognosis of breast cancer. Dynamic contrast-enhanced MRI (DCE-MRI) could quantitatively analyze features of tumor tissue with injection of contrast agent. Diffusion-weighted imaging (DWI) could detect the characteristics of water molecules movement without contrast agent, reflecting the microstructure of the lesion. As a non-Gaussian, biexponential model, intravoxel incoherent motion (IVIM) model separates the diffusion of water molecules from microcirculation more accurately, which could reflect the information of blood flow perfusion. Diffusion kurtosis imaging (DKI) depicts the complexity of abnormal tissue more accurately by evaluating the degree of diffusion non-Gaussianity. More and more studies have shown that MRI technique may play an important role in the diagnosis of breast cancer and predicting the response of neoadjuvant chemotherapy by reflecting the microenvironment (such as blood perfusion, tissue composition and metabolic changes).
[Keywords] Breast cancer；Dynamic contrast-enhanced MRI；Diffusion-weighted imaging；Intravoxel incoherent motion；Diffusion kurtosis imaging

XU Jian-rong Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China

Conflicts of interest   None.

Received  2016-12-16
Accepted  2017-01-10
DOI: 10.12015/issn.1674-8034.2017.03.001
DOI:10.12015/issn.1674-8034.2017.03.001.

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