ArticleEuropean radiology2022
MRI characteristics of breast edema for assessing axillary lymph node burden in early-stage breast cancer: a retrospective bicentric study.
Article in European radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 21 papers.
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21 citing papers in PubMed, 29 citations in OpenAlex.
- Peritumoral fat content using iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL) is associated with triple-negative breast cancer.Japanese journal of radiology · 2026Article
- The value of non-enhanced magnetic resonance imaging based on T2-weighted imaging and apparent diffusion coefficient in the study of three-tiered HER2 status in patients with breast cancer.Quantitative imaging in medicine and surgery · 2026Article
- Breast edema score as a biomarker of tumor aggressiveness and its predictive value for neoadjuvant chemotherapy response.European radiology · 2026Article
- Added value of intravoxel incoherent motion histogram analysis in differentiating HER2-zero, HER2-low, and HER2-positive breast cancer.La Radiologia medica · 2026Article
- MRI-Based Radiomics Model for Classifying Axillary Lymph Node Burden and Disease-Free Survival in Patients With Early-Stage Breast Cancer.Journal of magnetic resonance imaging : JMRI · 2026Article
- Hemodynamic Inflow-Outflow Profiling as an Integrated DCE-MRI Biomarker for Diagnosis and Risk Stratification in Breast Cancer: A Multicenter Retrospective Study.Breast cancer (Dove Medical Press) · 2026Article
- Subcutaneous/cutaneous uptake in the cancer-affected breast onAnnals of nuclear medicine · 2026Article
- Preoperative Prediction of Fat-Suppressed T2-Weighted Imaging-based Breast Edema Scores for Lymphovascular Invasion in Patients with Breast CancerCurrent medical imaging · 2026Article
- Development of a prediction model for HER2 low breast cancer using quantitative intra- and peri-tumoral heterogeneity and MRI features on high-spatial resolution ultrafast DCE-MRI.Quantitative imaging in medicine and surgery · 2025Article
- Prediction of lymphovascular invasion in invasive breast cancer via intratumoral and peritumoral multiparametric magnetic resonance imaging machine learning-based radiomics with Shapley additive explanations interpretability analysis.Quantitative imaging in medicine and surgery · 2025Article
- Magnetic resonance imaging features and diagnostic value analysis of non-mass enhancement lesions of the breast.Quantitative imaging in medicine and surgery · 2025Article
- Peritumoral Fat Content Identified Using Iterative Decomposition of Water and Fat with Echo Asymmetry and Least-squares Estimation (IDEAL) Correlates with Breast Cancer Prognosis.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025Article
- Prediction of axillary nodal burden using preoperative magnetic resonance imaging scoring in patients with clinically node-negative breast cancer: a retrospective cohort study.Gland surgery · 2024Article
- The combination of focal breast edema and adjacent vessel sign to assess the behavior of mass-type invasive ductal carcinoma.BMC medical imaging · 2024Article
- MRI radiomics and biological correlations for predicting axillary lymph node burden in early-stage breast cancer.Journal of translational medicine · 2024Article
- Preoperative MRI Features Associated With Axillary Nodal Burden and Disease-Free Survival in Patients With Early-Stage Breast Cancer.Korean journal of radiology · 2024Article
- Development and validation of machine learning models for predicting HER2-zero and HER2-low breast cancers.The British journal of radiology · 2024Article
- Peritumoral edema enhances MRI-based deep learning radiomic model for axillary lymph node metastasis burden prediction in breast cancer.Scientific reports · 2024Article
- Integrative radiomics clustering analysis to decipher breast cancer heterogeneity and prognostic indicators through multiparametric MRI.NPJ breast cancer · 2024Article
- Machine-learning methods based on the texture and non-texture features of MRI for the preoperative prediction of sentinel lymph node metastasis in breast cancer.Translational cancer research · 2023Article
Corrections and comments
- Erratum issued
Authors and funding
16 authors at 3 institutions in 1 country.
Funding
Abstract
objectivesTo investigate whether breast edema characteristics at preoperative T2-weighted imaging (T2WI) could help evaluate axillary lymph node (ALN) burden in patients with early-stage breast cancer.
methodsThis retrospective study included women with clinical T1 and T2 stage breast cancer and preoperative MRI examination in two independent cohorts from May 2014 to December 2020. Low (< 3 LNs+) and high (≥ 3 LNs+) pathological ALN (pALN) burden were recorded as endpoint. Breast edema score (BES) was evaluated at T2WI. Univariable and multivariable analyses were performed by the logistic regression model. The added predictive value of BES was examined utilizing the area under the curve (AUC), net reclassification improvement (NRI), and integrated discrimination improvement (IDI).
resultsA total of 1092 patients were included in this study. BES was identified as the independent predictor of pALN burden in primary (n = 677) and validation (n = 415) cohorts. The analysis using MRI-ALN status showed that BES significantly improved the predictive performance of pALN burden (AUC: 0.65 vs 0.71, p < 0.001; IDI = 0.045, p < 0.001; continuous NRI = 0.159, p = 0.050). These results were confirmed in the validation cohort (AUC: 0.64 vs 0.69, p = 0.009; IDI = 0.050, p < 0.001; continuous NRI = 0.213, p = 0.047). Furthermore, BES was positively correlated with biologically invasive clinicopathological factors (p < 0.05).
conclusionsIn individuals with early-stage breast cancer, preoperative MRI characteristics of breast edema could be a promising predictor for pALN burden, which may aid in treatment planning. KEY POINTS: • In this retrospective study of 1092 patients with early-stage breast cancer from two cohorts, the MRI characteristic of breast edema has independent and additive predictive value for assessing axillary lymph node burden. • Breast edema characteristics at T2WI positively correlated with biologically invasive clinicopathological factors, which may be useful for preoperative diagnosis and treatment planning for individual patients with breast cancer.
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