Models and methods for analyzing DCE‐MRI: A review
Purpose: To present a review of most commonly used techniques to analyze dynamic
contrast‐enhanced magnetic resonance imaging (DCE‐MRI), discusses their strengths and …
contrast‐enhanced magnetic resonance imaging (DCE‐MRI), discusses their strengths and …
Impact of machine learning with multiparametric magnetic resonance imaging of the breast for early prediction of response to neoadjuvant chemotherapy and survival …
A Tahmassebi, GJ Wengert, TH Helbich… - Investigative …, 2019 - journals.lww.com
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 …
multiparametric magnetic resonance imaging (mpMRI) for the early prediction of …
Magnetic resonance imaging of the breast: recommendations from the EUSOMA working group
F Sardanelli, C Boetes, B Borisch, T Decker… - European journal of …, 2010 - Elsevier
The use of breast magnetic resonance imaging (MRI) is rapidly increasing. EUSOMA
organised a workshop in Milan on 20–21st October 2008 to evaluate the evidence currently …
organised a workshop in Milan on 20–21st October 2008 to evaluate the evidence currently …
Breast image analysis for risk assessment, detection, diagnosis, and treatment of cancer
ML Giger, N Karssemeijer… - Annual review of …, 2013 - annualreviews.org
The role of breast image analysis in radiologists' interpretation tasks in cancer risk
assessment, detection, diagnosis, and treatment continues to expand. Breast image analysis …
assessment, detection, diagnosis, and treatment continues to expand. Breast image analysis …
Prior to initiation of chemotherapy, can we predict breast tumor response? Deep learning convolutional neural networks approach using a breast MRI tumor dataset
We hypothesize that convolutional neural networks (CNN) can be used to predict
neoadjuvant chemotherapy (NAC) response using a breast MRI tumor dataset prior to …
neoadjuvant chemotherapy (NAC) response using a breast MRI tumor dataset prior to …
Diffusion-weighted MR imaging: pretreatment prediction of response to neoadjuvant chemotherapy in patients with breast cancer
Purpose To evaluate the potential of diffusion-weighted (DW) magnetic resonance (MR)
imaging with an apparent diffusion coefficient (ADC) map in the prediction of response to …
imaging with an apparent diffusion coefficient (ADC) map in the prediction of response to …
Intratumor partitioning and texture analysis of dynamic contrast‐enhanced (DCE)‐MRI identifies relevant tumor subregions to predict pathological response of breast …
Purpose To predict pathological response of breast cancer to neoadjuvant chemotherapy
(NAC) based on quantitative, multiregion analysis of dynamic contrast enhancement …
(NAC) based on quantitative, multiregion analysis of dynamic contrast enhancement …
[HTML][HTML] Early prediction of pathologic response to neoadjuvant therapy in breast cancer: systematic review of the accuracy of MRI
ML Marinovich, F Sardanelli, S Ciatto, E Mamounas… - The Breast, 2012 - Elsevier
Magnetic resonance imaging (MRI) has been proposed to have a role in predicting final
pathologic response when undertaken early during neoadjuvant chemotherapy (NAC) in …
pathologic response when undertaken early during neoadjuvant chemotherapy (NAC) in …
Multiparametric magnetic resonance imaging for predicting pathological response after the first cycle of neoadjuvant chemotherapy in breast cancer
Objectives The purpose of this study was to determine whether multiparametric magnetic
resonance imaging (MRI) using dynamic contrast-enhanced MRI (DCE-MRI) and diffusion …
resonance imaging (MRI) using dynamic contrast-enhanced MRI (DCE-MRI) and diffusion …