Article citationsMore>>

Shin, H.J., Kim, H.H., Shin, K.C., Sung, Y.S., Cha, J.H., Lee, J.W., Son, B.H. and Ahn, S.H. (2016) Prediction of Low-Risk Breast Cancer Using Perfusion Parameters and Apparent Diffusion Coefficient. Magnetic Resonance Imaging, 34, 67-74.
https://doi.org/10.1016/j.mri.2015.10.028

has been cited by the following article:

• TITLE: Progresses of Functional Magnetic Resonance Imaging Diagnosis in Breast Cancer

  AUTHORS: Qianfei Hu, Sibin Liu

  KEYWORDS: Breast Cancer, Functional Magnetic Resonance Techniques, Diagnostic Imaging

  JOURNAL NAME: Yangtze Medicine, Vol.4 No.2, June 29, 2020

  ABSTRACT: Breast cancer is the most common malignant tumor that threatens women’s health. Breast magnetic resonance imaging (MRI) is a commonly used method recommended for the diagnosis of breast cancer. Diffusion weighted imaging (DWI) and dynamic enhanced magnetic resonance imaging (DCE-MRI) are now widely used. At present, with the continuous advancement of magnetic resonance technology, Magnetic resonance spectroscopy (MRS), Perfusion weighted imaging (PWI), Positron emission tomography-magnetic resonance imaging (PET-MRI) and so on are gradually being used in clinical practice. Mammography imaging and imaging genomics are hot topics. This article will briefly introduce several functional magnetic resonance techniques and their latest applications.