Breast cancer subtypes and quantitative magnetic resonance imaging: a systemic review

T Kazama, T Takahara, J Hashimoto - Life, 2022 - mdpi.com
Magnetic resonance imaging (MRI) is the most sensitive imaging modality for breast cancer
detection. This systematic review investigated the role of quantitative MRI features in …

[HTML][HTML] Diffusion-weighted imaging of different breast cancer molecular subtypes: a systematic review and meta-analysis

HJ Meyer, A Wienke, A Surov - Breast Care, 2022 - karger.com
Background: Magnetic resonance imaging can be used to diagnose breast cancer (BC).
Diffusion-weighted imaging (DWI) and the apparent diffusion coefficient (ADC) can be used …

Improved discrimination of molecular subtypes in invasive breast cancer: Comparison of multiple quantitative parameters from breast MRI

S Du, S Gao, L Zhang, X Yang, X Qi, S Li - Magnetic Resonance Imaging, 2021 - Elsevier
Purpose To compare multiple quantitative parameters from breast magnetic resonance
imaging (MRI) with the synthetic MRI sequence included for discrimination of molecular …

Correlation of dynamic contrast-enhanced MRI and diffusion-weighted MR imaging with prognostic factors and subtypes of breast cancers

H Chen, W Li, C Wan, J Zhang - Frontiers in Oncology, 2022 - frontiersin.org
Objective To determine the preoperative magnetic resonance imaging (MRI) findings of
breast cancer on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and …

Quantitative parameters of diffusion spectrum imaging: HER2 status prediction in patients with breast cancer

C Mao, W Jiang, J Huang, M Wang, X Yan… - Frontiers in …, 2022 - frontiersin.org
Objective To explore the value of quantitative parameters derived from diffusion spectrum
imaging (DSI) in preoperatively predicting human epidermal growth factor receptor 2 (HER2) …

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 …

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 …

Whole-tumor ADC texture analysis is able to predict breast cancer receptor status

M Szep, R Pintican, B Boca, A Perja, M Duma, D Feier… - Diagnostics, 2023 - mdpi.com
There are different breast cancer molecular subtypes with differences in incidence, treatment
response and outcome. They are roughly divided into estrogen and progesterone receptor …

Feasibility of Quantitative MRI Using 3D‐QALAS for Discriminating Immunohistochemical Status in Invasive Ductal Carcinoma of the Breast

M Amano, S Fujita, N Takei, K Sano… - Journal of Magnetic …, 2023 - Wiley Online Library
Background Two‐dimensional synthetic MRI of the breast has limited spatial coverage.
Three‐dimensional (3D) synthetic MRI could provide volumetric quantitative parameters that …

Is simultaneous multi-slice readout-segmented echo-planar imaging valuable for predicting molecular subtypes of breast cancer?

X Li, H Zhu, K Sun, W Chai, C Fu, F Yan - European Journal of Radiology, 2022 - Elsevier
Purpose To investigate the feasibility of simultaneous multi-slice readout-segmented
diffusion-weighted echo-planar imaging (SMS rs-EPI DWI) in predicting invasive breast …