Advances in both imaging and computers have led to the rise in the potential use of artificial
intelligence (AI) in various tasks in breast imaging, going beyond the current use in …

MRI is an essential tool in breast imaging, with multiple established indications. Dynamic
contrast-enhanced MRI (DCE-MRI) is the backbone of any breast MRI protocol and has an …

EUSOMA (The European Society of Breast Cancer Specialists) is committed to writing
recommendations on different topics of breast cancer care which can be easily adopted and …

Purpose To examine the relationships between breast cancer and both amount of
fibroglandular tissue (FGT) and level of background parenchymal enhancement (BPE) at …

Magnetic resonance imaging (MRI) is a well-established method in breast imaging, with
manifold clinical applications, including the non-invasive differentiation between benign and …

At magnetic resonance (MR) imaging, both normal and abnormal breast tissue enhances
after contrast material administration. The morphology and temporal degree of enhancement …

To develop a convolutional neural network (CNN) algorithm that can predict the molecular
subtype of a breast cancer based on MRI features. An IRB-approved study was performed in …

Objective This study evaluates use of an abbreviated magnetic resonance imaging protocol
with T2-weighted imaging in detecting biopsy-proven unifocal breast cancer. Materials and …

Purpose To use features extracted from magnetic resonance (MR) images and a machine‐
learning method to assist in differentiating breast cancer molecular subtypes. Materials and …

Purpose To investigate the association between a validated, gene‐expression‐based,
aggressiveness assay, Oncotype Dx RS, and morphological and texture‐based image …