Simple Summary Various imaging techniques may be applied in research or clinical practice
to evaluate pathological conditions of mammary glands and contribute to a diagnosis. This …

The usefulness of neural networks for the classification of signal-time curves from dynamic
MR mammography was recently demonstrated by our group. The multi-layer perceptron …

The aim of this study was to test the performance of artificial neural networks for the
classification of signal-time curves obtained from breast masses by dynamic MRI. Signal …

PURPOSE: To investigate the degree and prevalence of radiation-induced changes on
breast magnetic resonance (MR) images in patients who were undergoing radiation therapy …

The guidelines for follow-up in breast cancer survivors support only performance of periodic
physical examination and annual mammography. However, medical oncologists and …

Breast cancer represents the most frequent malignant disease in women and the second
leading cause of cancer death in western countries. Current available treatment includes …

The authors developed a clinical system for computerized delineation, rating, and
classification of breast lesions depicted in contrast material–enhanced magnetic resonance …

Objective The value of combined positron emission tomography (PET)/computed
tomography (CT) in the follow-up of patients with breast cancer with elevated tumor markers …

It was the aim of this methodology-oriented clinical pilot study to compare the potential of
dynamic MRI and 2-[18 F] fluoro-2-deoxy-D-glucose (FDG) positron emission tomography …

Purpose To investigate the value of the early phase of MR enhancement of breast lesions.
Method To study 63 breast lesions (size 5–45 mm in diameter) in 56 patients, whole-breast …