Purpose Triple-negative breast cancer (TNBC) is a heterogeneous group of tumors
comprising various breast cancers simply defined by the absence of estrogen receptor …

The analysis of the causes that have given rise to a change in tendency in the incidence and
mortality rates of breast cancer in the last few decades generates important revelations …

Objectives To evaluate the performance of interpretable machine learning models in
predicting breast cancer molecular subtypes. Methods We retrospectively enrolled 600 …

Background: Breast ultrasound is the first choice for breast tumor diagnosis in China, but the
Breast Imaging Reporting and Data System (BI-RADS) categorization routinely used in the …

Objectives To determine the MRI features of triple-negative invasive breast cancer (TNBC)
on dynamic contrast-enhanced MR imaging (DCE-MRI) and diffusion-weighted MR imaging …

BACKGROUND: Differences in the breast cancer burden of African‐American women
compared with white American women are well documented. Recent controversies have …

Introduction In current clinical practice, invasive ductal carcinoma is always screened using
medical imaging techniques and diagnosed using immunohistochemistry. Recent studies …

Triple-negative breast cancer (TNBC) is sometimes mistaken for fibroadenoma due to its
tendency to show benign morphology on breast ultrasound (US) albeit its aggressive nature …

Although triple-negative breast cancer (TNBC) has been studied extensively in the oncology
and pathology literature, there are few reports on imaging features. Emerging data suggest …

We aimed to predict molecular subtypes of breast cancer using radiomics signatures
extracted from synthetic mammography reconstructed from digital breast tomosynthesis …