The road to breast cancer screening with diffusion MRI

M Iima, D Le Bihan - Frontiers in oncology, 2023 - frontiersin.org
Breast cancer is the leading cause of cancer in women with a huge medical, social and
economic impact. Mammography (MMG) has been the gold standard method until now …

Prediction of prognostic factors and genotypes in patients with breast cancer using multiple mathematical models of MR diffusion imaging

W Wang, X Zhang, L Zhu, Y Chen, W Dou… - Frontiers in …, 2022 - frontiersin.org
Purpose To explore the clinical value of apparent diffusion coefficient (ADC), intravoxel
incoherent motion (IVIM), and diffusion kurtosis imaging (DKI) based on diffusion-weighted …

Assessment of Prognostic Factors and Molecular Subtypes of Breast Cancer With a Continuous‐Time Random‐Walk MR Diffusion Model: Using Whole Tumor …

Y Qin, C Tang, Q Hu, J Yi, T Yin… - Journal of Magnetic …, 2023 - Wiley Online Library
Background The continuous‐time random‐walk (CTRW) diffusion model to evaluate breast
cancer prognosis is rarely reported. Purpose To investigate the correlations between …

A Channel‐Dimensional Feature‐Reconstructed Deep Learning Model for Predicting Breast Cancer Molecular Subtypes on Overall b‐Value Diffusion‐Weighted MRI

X Zhou, L Zhang, Q Cui, H Li, X Sang… - Journal of Magnetic …, 2024 - Wiley Online Library
Background Dynamic contrast‐enhanced (DCE) MRI commonly outperforms diffusion‐
weighted (DW) MRI in breast cancer discrimination. However, the side effects of contrast …

Quantitative assessment of restriction spectrum MR imaging for the diagnosis of breast cancer and association with prognostic factors

Y Qin, C Tang, Q Hu, Y Zhang, J Yi… - Journal of Magnetic …, 2023 - Wiley Online Library
Background Restriction spectrum imaging (RSI) is an advanced quantitative diffusion‐
weighted magnetic resonance imaging (DWI) technique to assess breast cancer. Purpose …

Comparison of diffusion kurtosis imaging and dynamic contrast enhanced MRI in prediction of prognostic factors and molecular subtypes in patients with breast cancer

W Wang, S Lv, J Xun, L Wang, F Zhao, J Wang… - European Journal of …, 2022 - Elsevier
Purpose To explore the clinical value of diffusional kurtosis imaging (DKI) and dynamic
contrast enhanced magnetic resonance imaging (DCE-MRI) for predicting genotypes and …

Biomarkers predictive of distant disease-free survival derived from diffusion-weighted imaging of breast cancer

M Honda, M Iima, M Kataoka, Y Fukushima… - … Resonance in Medical …, 2023 - jstage.jst.go.jp
Purpose: To investigate whether intravoxel incoherent motion (IVIM) and/or non-Gaussian
diffusion parameters are associated with distant disease-free survival (DDFS) in patients …

Histogram analysis of multi-model high-resolution diffusion-weighted MRI in breast cancer: correlations with molecular prognostic factors and subtypes

Y Qin, F Wu, Q Hu, L He, M Huo, C Tang, J Yi… - Frontiers in …, 2023 - frontiersin.org
Objective To investigate the correlations between quantitative diffusion parameters and
prognostic factors and molecular subtypes of breast cancer, based on a single fast high …

Diffusion kurtosis imaging as a biomarker of breast cancer

M Honda, D Le Bihan, M Kataoka, M Iima - BJR| Open, 2023 - academic.oup.com
Diffusion kurtosis imaging (DKI) is a diffusion-weighted imaging method that describes non-
Gaussian signal behavior using a relatively simple mathematical model. A parameter …

Histogram analysis comparison of readout-segmented and single-shot echo-planar imaging for differentiating luminal from non-luminal breast cancer

Y Hu, Q Hu, Z Liu, C Huang, L Xia - Scientific Reports, 2024 - nature.com
To compare diffusion-kurtosis imaging (DKI) and diffusion-weighted imaging (DWI)
parameters of single-shot echo-planar imaging (ss-EPI) and readout-segmented echo …