Background Contrast-enhanced mammography (CEM) is a promising technique for breast
cancer detection, but conflicting results have been reported in previous meta-analyses …

Breast cancer is the most common forms of cancer and a leading cause of mortality in
women. Early and correct diagnosis is, therefore, essential to save lives. The development of …

In the context of precision medicine, disease treatment requires individualized strategies
based on the underlying molecular characteristics to overcome therapeutic challenges …

Breast cancer is a leading death cause in women globally. Since therapeutic products do
not yet approach the tumor tissue at adequate levels; therefore, nanoparticle-based …

Please see the Editorial Comment by Stefanie Woodard discussing this article. To listen to
the podcast associated with this article, please select one of the following: iTunes, Google …

Magnetic resonance imaging (MRI) is an important part of breast cancer diagnosis and
multimodal workup. It provides unsurpassed soft tissue contrast to analyse the underlying …

The ultimate goals of the application of artificial intelligence (AI) to digital breast
tomosynthesis (DBT) are the reduction of reading times, the increase of diagnostic …

Background Breast cancer (BC) poses a public health challenge as the most commonly
diagnosed cancer among women globally. While BC mortality has declined across Europe …

As one of the most frequently occurring malignancies in women, breast cancer (BC) is still
an enormous threat to women all over the world. The high mortality rates in BC patients are …

Objectives To evaluate the potential of contrast-enhanced mammography (CEM) for
reducing the biopsy rate of screening recalls. Methods Recalled women were prospectively …