A robust and efficient AI assistant for breast tumor segmentation from DCE-MRI via a spatial-temporal framework
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) allows screening,
follow up, and diagnosis for breast tumor with high sensitivity. Accurate tumor segmentation …
follow up, and diagnosis for breast tumor with high sensitivity. Accurate tumor segmentation …
Discrimination between human epidermal growth factor receptor 2 (HER2)-low-expressing and HER2-overexpressing breast cancers: a comparative study of four MRI …
C Mao, L Hu, W Jiang, Y Qiu, Z Yang, Y Liu, M Wang… - European …, 2024 - Springer
Objectives To determine the value of conventional DWI, continuous-time random walk
(CTRW), fractional order calculus (FROC), and stretched exponential model (SEM) in …
(CTRW), fractional order calculus (FROC), and stretched exponential model (SEM) in …
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 …
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) …
imaging (DSI) in preoperatively predicting human epidermal growth factor receptor 2 (HER2) …
Non-contrast Breast MR Imaging
JY Kim, SC Partridge - Radiologic Clinics, 2024 - radiologic.theclinics.com
Dynamic contrast-enhanced (DCE) MR imaging of the breast is a well-established MR
imaging technique with high sensitivity for the detection and characterization of breast …
imaging technique with high sensitivity for the detection and characterization of breast …
[Retracted] Diagnostic Performance of Diffusion Kurtosis Imaging for Benign and Malignant Breast Lesions: A Systematic Review and Meta‐Analysis
H Gu, W Cui, S Luo, X Deng - Applied Bionics and …, 2022 - Wiley Online Library
Purpose. Magnetic resonance imaging (MRI) has a high sensitivity for differentiating
between malignant and non‐malignant breast lesions but is sometimes limited due to its low …
between malignant and non‐malignant breast lesions but is sometimes limited due to its low …
Hyperoxic BOLD-MRI-Based Characterization of Breast Cancer Molecular Subtypes Is Independent of the Supplied Amount of Oxygen: A Preclinical Study
SJ Bartsch, V Ehret, J Friske, V Fröhlich… - Diagnostics, 2023 - mdpi.com
Hyperoxic BOLD-MRI targeting tumor hypoxia may provide imaging biomarkers that
represent breast cancer molecular subtypes without the use of injected contrast agents …
represent breast cancer molecular subtypes without the use of injected contrast agents …
Identification of triple-negative breast cancer and androgen receptor expression based on histogram and texture analysis of dynamic contrast-enhanced MRI
W Xu, B Zheng, J Lu, S Liu, H Li - BMC Medical Imaging, 2023 - Springer
Background Triple-negative breast cancer (TNBC) is highly malignant and has a poor
prognosis due to the lack of effective therapeutic targets. Androgen receptor (AR) has been …
prognosis due to the lack of effective therapeutic targets. Androgen receptor (AR) has been …
[HTML][HTML] Quantitative apparent diffusion coefficient metrics for MRI-only suspicious breast lesions: any added clinical value?
X Li, H Wang, J Gao, L Jiang… - Quantitative Imaging in …, 2023 - ncbi.nlm.nih.gov
Background Suspicious breast lesions [Breast Imaging Reporting and Data System (BI-
RADS) category 4 or 5] detected only by magnetic resonance imaging (MRI) and invisible on …
RADS) category 4 or 5] detected only by magnetic resonance imaging (MRI) and invisible on …
Development and validation of machine learning models for predicting HER2-zero and HER2-low breast cancers
X Huang, L Wu, Y Liu, Z Xu, C Liu… - British Journal of …, 2024 - academic.oup.com
Objectives To develop and validate machine learning models for human epidermal growth
factor receptor 2 (HER2)-zero and HER2-low using MRI features pre–neoadjuvant therapy …
factor receptor 2 (HER2)-zero and HER2-low using MRI features pre–neoadjuvant therapy …