Axillary lymph node (LN) metastasis is the most important predictor of overall recurrence and
survival in patients with breast cancer, and accurate assessment of axillary LN involvement …

The concept of diffusion magnetic resonance (MR) imaging emerged in the mid-1980s,
together with the first images of water diffusion in the human brain, as a way to probe tissue …

The detection of lymph node metastasis affects the management of patients with primary
breast cancer significantly in terms of staging, treatment, and prognosis. The main goal for …

Purpose To develop a nomogram based on radiomics signature and deep-learning
signature for predicting the axillary lymph node (ALN) metastasis in breast cancer. Methods …

Objectives To assess whether MRI can exclude axillary lymph node metastasis, potentially
replacing sentinel lymph node biopsy (SLNB), and consequently eliminating the risk of …

Objectives Double reading in diagnostic radiology can find discrepancies in the original
report, but a systematic program of double reading is resource consuming. There are …

Background Multiparametric magnetic resonance imaging (MRI) is widely used in breast
cancer screening. Accurate prediction of the axillary lymph nodes metastasis (ALNM) is …

Diffusion-weighted (DW) magnetic resonance imaging (MRI) is a rapid, unenhanced
imaging technique that measures the motion of water molecules within tissues and provides …

The aim of this study is to evaluate the role of convolutional neural network (CNN) in
predicting axillary lymph node metastasis, using a breast MRI dataset. An institutional review …

Introduction Apparent diffusion coefficient (ADC) values are increasingly reported in breast
MRI. As there is no standardized method for ADC measurements, we evaluated the effect of …