Purpose: To present a review of most commonly used techniques to analyze dynamic
contrast‐enhanced magnetic resonance imaging (DCE‐MRI), discusses their strengths and …

OBJECTIVE. Neoadjuvant chemotherapy is becoming the standard of care for patients with
locally advanced breast cancer. Conventional imaging modalities used for the assessment …

Purpose The aim of this study was to assess the potential of machine learning with
multiparametric magnetic resonance imaging (mpMRI) for the early prediction of …

Purpose To predict pathological response of breast cancer to neoadjuvant chemotherapy
(NAC) based on quantitative, multiregion analysis of dynamic contrast enhancement …

Objectives The purpose of this study was to determine whether multiparametric magnetic
resonance imaging (MRI) using dynamic contrast-enhanced MRI (DCE-MRI) and diffusion …

The purpose is to compare quantitative dynamic contrast-enhanced (DCE) magnetic
resonance imaging (MRI) metrics with imaging tumor size for early prediction of breast …

Purpose The aim of this meta-analysis was to determine the diagnostic accuracy of machine
learning (ML) models with MRI in predicting pathological response to neoadjuvant …

In patients with locally advanced breast cancer undergoing neoadjuvant chemotherapy
(NAC), some patients achieve a complete pathologic response (pCR), some achieve a …

Although there are considerable data on the use of mathematical modeling to describe
tumor growth and response to therapy, previous approaches are often not of the form that …

Background: Neoadjuvant chemotherapy (NAC) is commonly utilized in preoperative
treatment for local breast cancer, and it gives high clinical response rates and can result in …