ArticleScientific reports2021
Peritumoral edema in breast cancer at preoperative MRI: an interpretative study with histopathological review toward understanding tumor microenvironment.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.
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Who cites it
33 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.
- Association of peritumoral region features assessed on breast MRI and prognosis of breast cancer: a systematic review and meta-analysis.European radiology · 2024Pooled it
- Article
- Breast edema score as a biomarker of tumor aggressiveness and its predictive value for neoadjuvant chemotherapy response.European radiology · 2026Article
- Methodological Challenges in Associating T2-Weighted Imaging Features in Breast Cancer With Clinical and Pathologic Findings.Korean journal of radiology · 2026Article
- Letter to the Editor: Perinodal signal in breast magnetic resonance imaging: flare sign and extracapsular spread.Diagnostic and interventional radiology (Ankara, Turkey) · 2026Article
- Magnetic resonance imaging as a non-invasive breast cancer tool - the relevance of breast edema score: A retrospective study.World journal of radiology · 2026Article
- Association of T2-Weighted Imaging Features in Invasive Breast Cancer With Clinicopathologic Features and Neoadjuvant Treatment Outcomes.Korean journal of radiology · 2026Article
- Article
- MRI-based tumor signatures as prognostic biomarkers in oral tongue squamous cell carcinoma.Frontiers in oncology · 2026Article
- Uncertainty-Aware Machine Learning for Predicting Axillary Lymph Node Metastasis Using Breast MRI.Breast cancer (Dove Medical Press) · 2026Article
- Peritumoral bone changes in mandibular gingival squamous cell carcinoma: A prospective radiologic-histopathologic correlation study.Journal of dental sciences · 2026Article
- Early peritumoral edema change improve prediction of pathological complete response in breast cancer: a multiparametric magnetic resonance imaging-based model.Frontiers in oncology · 2026Article
- Spatial-temporal radiogenomics in predicting neoadjuvant chemotherapy efficacy for breast cancer: a comprehensive review.Journal of translational medicine · 2025Review
- 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
- 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-based radiomic and machine learning for prediction of lymphovascular invasion status in breast cancer.BMC medical imaging · 2024Article
- Role of inter- and extra-lesion tissue, transfer learning, and fine-tuning in the robust classification of breast lesions.Scientific reports · 2024Article
- The potential role of breast MRI in evaluation of triple-negative breast cancer and fibroadenoma of less than 3 cm.Translational cancer research · 2024Article
- Multiparametric MRI-based radiomic nomogram for predicting HER-2 2+ status of breast cancer.Heliyon · 2024Article
- Article
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12 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Peritumoral edema (PE) of breast cancer at T2-weighted MR images is considered a poor prognostic sign and may represent the microenvironment surrounding the tumor; however, its histopathological mechanism remains unclear. The purpose of the study was to identify and describe detailed histopathological characteristics associated with PE at preoperative breast MRI in breast cancer patients. This retrospective study included breast cancer patients who had undergone preoperative MRI and surgery between January 2011 and December 2012. Two radiologists determined the presence of PE in consensus based on the signal intensity surrounding the tumor at T2-weighted images. The following detailed histopathological characteristics were reviewed by two breast pathologists using four-tiered grades; lymphovascular invasion, vessel ectasia, stromal fibrosis, growth pattern, and tumor budding. Tumor necrosis and tumor infiltrating lymphocytes were assessed using a percent scale. Baseline clinicopathological characteristics, including age and histologic grade, were collected. The associations between detailed histopathologic characteristics and PE were examined using multivariable logistic regression with odds ratio (OR) calculation. A total of 136 women (median age, 49 ± 9 years) were assessed; among them 34 (25.0%) had PE. After adjustment of baseline clinicopathological characteristics that were significantly associated with PE (age, T stage, N stage, histologic grade, and subtype, all Ps < 0.05), lymphovascular invasion (P = 0.009), vessel ectasia (P = 0.021), stromal fibrosis (P = 0.024), growth pattern (P = 0.036), and tumor necrosis (P < 0.001) were also associated with PE. In comparison with patients without PE, patients with PE were more likely to have a higher degree of lymphovascular invasion (OR, 2.9), vessel ectasia (OR, 3.3), stromal fibrosis (OR, 2.5), lesser degree of infiltrative growth pattern (OR, 0.4), and higher portion of tumor necrosis (OR, 1.4). PE of breast cancer at MRI is associated with detailed histopathological characteristics of lymphovascular invasion, vessel ectasia, stromal fibrosis, growth pattern, and tumor necrosis, suggesting a relevance for tumor microenvironment.
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