Background: Parenchymal enhancement and fibroglandular tissue on breast MRI in women with high genetic risk: are changes before and after risk-reducing salpingo-oophorectomy associated with breast cancer risk?
Objective: To evaluate changes in the level of background parenchymal enhancement (BPE) and amount of fibroglandular tissue (FGT) on breast MRI before and after risk-reducing oophorectomy (RRSO), and to determine whether these changes correlate with ultimate breast cancer risk.
Materials And Methods: The cohort included 146 women with high genetic risk who had undergone pre- and post-RRSO breast MRI. BPE level and FGT amount were retrospectively graded according to BI-RADS classification. Initial values and changes were compared in women with or without later breast cancer after RRSO. Hazard ratios (HR) were estimated using Cox univariate models.
Results: Patients with initial moderate (BI-RADS C category) BPE had a higher risk of subsequent breast cancer of HR = 3.9 (95% CI [1.1-14.3]; p = 0.04) compared to patients with initial minimal (BI-RADS A) BPE. A categorical BPE decrease after RRSO, versus no change, was associated with a higher cancer risk (HR 2.2, 95% CI [1.04-4.8]; p = 0.04). Initially dense (BI-RADS 3 category) FGT correlated with an increased cancer risk compared to fatty (BI-RADS 1 category) parenchyma (HR 8.3, 95% CI [1.1-64]; p = 0.04). After RRSO, there was a trend for higher cancer risk related to a categorical FGT decrease (HR 2.3, 95% CI [0.9-35.4]; p = 0.06).
Conclusion: Patients in whom BPE decreases after RRSO might be at higher risk of subsequent breast cancer compared to patients with stable BPE. This finding is consistent with the concept of increased risk associated with high initial BPE, which could be of higher clinical relevance than post-RRSO BPE reduction. A similar trend was observed with high initial FGT.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.ejrad.2018.10.030 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Infections Due to Corynebacterium kroppenstedtii With Focus on Granulomatous Lobular Mastitis for Tissue Specificity, Pathogenesis, Bacteriologic Workup, and Treatment.
Arch Pathol Lab Med
January 2025
From the Divisions of Pathology and Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas (Gan, Y Ding, Wu, Zhang, Meng, QQ Ding, Han).
Objective.—: To report the isolation and significance of C kroppenstedtii, features of patients with GLM, pathologic findings and mechanism, bacteriologic workup, and optimal treatment.
Design.
The impact of the BreastScreen NSW transition from film to digital mammography, 2002-2016: a linked population health data analysis.
Med J Aust
January 2025
Sydney School of Public Health, the University of Sydney, Sydney, NSW.
Objectives: To assess the impact of the transition from film to digital mammography in the Australian national breast cancer screening program.
Study Design: Retrospective linked population health data analysis (New South Wales Central Cancer Registry, BreastScreen NSW); interrupted time series analysis.
Setting: New South Wales, 2002-2016.
Lumpectomy Patients are at Highest Risk for Opioid Overprescription: A Comparison Between Practice Patterns and OPEN National Guidelines.
Ann Surg Oncol
January 2025
Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA.
Background: Nearly 25% of opioid-related deaths are from prescribed opioids, and the exacerbation of the opioid epidemic by the coronavirus disease 2019 (COVID-19) pandemic underscores the urgent need to address superfluous prescribing. Therefore, we sought to align local opioid prescribing practices with national guidelines in postoperative non-metastatic breast cancer patients.
Methods: A single-institution analysis included non-metastatic breast surgery patients treated between April 2020 and July 2021.
ASO Author Reflections: Breast Cancer-Related Lymphedema Prevention: The Impact of Prophylactic Lymphovenous Bypass.
Ann Surg Oncol
January 2025
Department of Plastic and Reconstructive Surgery, The Ohio State University, Columbus, OH, USA.
Annotation-free deep learning algorithm trained on hematoxylin & eosin images predicts epithelial-to-mesenchymal transition phenotype and endocrine response in estrogen receptor-positive breast cancer.
Breast Cancer Res
January 2025
School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK.
Recent evidence indicates that endocrine resistance in estrogen receptor-positive (ER+) breast cancer is closely correlated with phenotypic characteristics of epithelial-to-mesenchymal transition (EMT). Nonetheless, identifying tumor tissues with a mesenchymal phenotype remains challenging in clinical practice. In this study, we validated the correlation between EMT status and resistance to endocrine therapy in ER+ breast cancer from a transcriptomic perspective.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!