Integrative radiomics clustering analysis to decipher breast cancer heterogeneity and prognostic indicators through multiparametric MRI
Y He, S Duan, W Wang, H Yang, S Pan, W Cheng… - NPJ Breast …, 2024 - nature.com
Breast cancer diagnosis and treatment have been revolutionized by multiparametric
Magnetic Resonance Imaging (mpMRI), encompassing T2-weighted imaging (T2WI) …
Magnetic Resonance Imaging (mpMRI), encompassing T2-weighted imaging (T2WI) …
Peritumoral edema enhances MRI-based deep learning radiomic model for axillary lymph node metastasis burden prediction in breast cancer
H Luo, Z Chen, H Xu, J Ren, P Zhou - Scientific reports, 2024 - nature.com
To investigate whether peritumoral edema (PE) could enhance deep learning radiomic
(DLR) model in predicting axillary lymph node metastasis (ALNM) burden in breast cancer …
(DLR) model in predicting axillary lymph node metastasis (ALNM) burden in breast cancer …
MRI radiomics and biological correlations for predicting axillary lymph node burden in early-stage breast cancer
M Hong, S Fan, Z Xu, Z Fang, K Ling, P Lai… - Journal of Translational …, 2024 - Springer
Background and aims Preoperative prediction of axillary lymph node (ALN) burden in
patients with early-stage breast cancer is pivotal for individualised treatment. This study …
patients with early-stage breast cancer is pivotal for individualised treatment. This study …
A simple and convenient model combining multiparametric MRI and clinical features to predict tumour-infiltrating lymphocytes in breast cancer
S Chen, Y Sui, S Ding, C Chen, C Liu, Z Zhong… - Clinical Radiology, 2023 - Elsevier
AIM To develop a simple and convenient method based on multiparametric magnetic
resonance imaging (MRI) and clinical features to non-invasively predict tumour-infiltrating …
resonance imaging (MRI) and clinical features to non-invasively predict tumour-infiltrating …
Focal breast edema and breast edema score on T2-weighted images provides valuable biological information for invasive breast cancer
Y Chen, L Wang, R Luo, H Liu, Y Zhang, D Wang - Insights into Imaging, 2023 - Springer
Background Various features extracted from breast MRI have the potential to serve as
noninvasive biomarkers for the prediction of the biologic behavior of breast cancer. The …
noninvasive biomarkers for the prediction of the biologic behavior of breast cancer. The …
Using machine learning methods to assess lymphovascular invasion and survival in breast cancer: performance of combining preoperative clinical and MRI …
Z Xu, Y Xie, L Wu, M Chen, Z Shi, Y Cui… - Journal of Magnetic …, 2023 - Wiley Online Library
Background Preoperative assessment of lymphovascular invasion (LVI) in invasive breast
cancer (IBC) is of high clinical relevance for treatment decision‐making and prognosis …
cancer (IBC) is of high clinical relevance for treatment decision‐making and prognosis …
Assessing Axillary Lymph Node Burden and Prognosis in cT1‐T2 Stage Breast Cancer Using Machine Learning Methods: A Retrospective Dual‐Institutional MRI …
J Liao, Z Xu, Y Xie, Y Liang, Q Hu, C Liu… - Journal of Magnetic …, 2024 - Wiley Online Library
Background Pathological axillary lymph node (pALN) burden is an important factor for
treatment decision‐making in clinical T1‐T2 (cT1‐T2) stage breast cancer. Preoperative …
treatment decision‐making in clinical T1‐T2 (cT1‐T2) stage breast cancer. Preoperative …
Peritumoral fat content identified using iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL) correlates with breast …
NH Tani, Y Koreeda, A Nawata, A Fujisaki… - … Resonance in Medical …, 2024 - jstage.jst.go.jp
Purpose: Adipocytes around aggressive breast cancer (BC) are less lipid different from
naive adipocytes (cancer-associated adipocytes, CAAs), and peritumoral edema caused by …
naive adipocytes (cancer-associated adipocytes, CAAs), and peritumoral edema caused by …
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 …
Multiparametric Magnetic Resonance Imaging Assessment of Primary Tumors for Predicting Axillary Tumor Burden in Women with Invasive Breast Cancer
JJ Kim, JY Kim, KJ Nam, KY Lee… - British Journal of …, 2024 - academic.oup.com
Objective To assess the association between multiparametric MRI features of primary tumors
and axillary lymph node tumor burden in women with invasive breast cancer. Methods In this …
and axillary lymph node tumor burden in women with invasive breast cancer. Methods In this …