Mammographic density reflects comprehensive changes in the mammary gland. The condition of the tumour microenvironment is a possible factor affecting tumour progression, as well as a tumour risk factor. This study aimed to determine whether mammographic density correlates with tumour clinicopathological features and prognosis in breast cancer patients. The analysis involved 163 Japanese women who underwent surgery for breast cancer between 1999 and 2003 in the Nagasaki University Hospital, Japan. Mammographic density was classified according to the breast imaging reporting and data system (BI-RADS) categories 1-4. Age, tumour size, axillary lymph node involvement, steroid receptor (SR) status, histological grade and Nottingham prognostic index (NPI) were analysed by density category and tested for statistically significant differences across categories. A significant difference (P<0.05) by breast-density category was found only for age. SR-negative tumours had significantly worse NPI scores than SR-positive tumours in breast-density categories 2 (P=0.03) and 4 (P<0.001). A high distant-metastasis frequency was observed in category 4 SR negatives (44%) versus category 4 SR positives (4.3%). These findings reveal that although the BI-RADS breast-density category alone is not associated with prognosis in breast cancer, patients who are both category 4 and SR negative have an extremely poor prognosis.
Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Digital Mammography, Tomosynthesis, and Contrast-Enhanced Mammography: Intraindividual Comparison of Mean Glandular Dose for Screening Examinations.
AJR Am J Roentgenol
January 2025
Department of Radiology, Division of Breast Imaging and Intervention, Mayo Clinic, Phoenix, AZ.
Contrast-enhanced mammography (CEM) is growing in clinical use due to its increased sensitivity and specificity compared to full-field digital mammography (FFDM) and/or digital breast tomosynthesis (DBT), particularly in patients with dense breasts. To perform an intraindividual comparison of MGD between FFDM, DBT, a combination protocol using both FFDM and DBT (combined FFDM-DBT), and CEM, in patients undergoing breast cancer screening. This retrospective study included 389 women (median age, 57.
View Article and Find Full Text PDFAttention-guided erasing for enhanced transfer learning in breast abnormality classification.
Int J Comput Assist Radiol Surg
January 2025
Pattern Recognition Lab, Friedrich-Alexander-University Erlangen-Nuremberg, Martensstr. 3, 91058, Erlangen, Bayern, Germany.
Purpose: Breast cancer remains one of the most prevalent cancers globally, necessitating effective early screening and diagnosis. This study investigates the effectiveness and generalizability of our recently proposed data augmentation technique, attention-guided erasing (AGE), across various transfer learning classification tasks for breast abnormality classification in mammography.
Methods: AGE utilizes attention head visualizations from DINO self-supervised pretraining to weakly localize regions of interest (ROI) in images.
Eldecalcitol Add-On to Risedronate Reduces Bone Loss from Aromatase Inhibitors in Postmenopausal Breast Cancer Patients.
J Clin Endocrinol Metab
January 2025
Department of Metabolism, Endocrinology, and Molecular Medicine, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan.
Context: Aromatase inhibitors (AIs) cause bone loss and increase fracture risk in women with hormone receptor-positive early-stage breast cancer (HR+EBC). Bone antiresorptive agents are recommended for patients at risk of fragility fractures. Eldecalcitol, combined with bisphosphonate, increases bone mineral density (BMD) in primary osteoporosis.
View Article and Find Full Text PDFLeveraging Optical Anisotropy of the Morpho Butterfly Wing for Quantitative, Stain-Free, and Contact-Free Assessment of Biological Tissue Microstructures.
Adv Mater
January 2025
Department of Mechanical and Aerospace Engineering, Program of Materials Science and Engineering, University of California San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA.
Changes in the density and organization of fibrous biological tissues often accompany the progression of serious diseases ranging from fibrosis to neurodegenerative diseases, heart disease and cancer. However, challenges in cost, complexity, or precision faced by existing imaging methodologies and materials pose barriers to elucidating the role of tissue microstructure in disease. Here, we leverage the intrinsic optical anisotropy of the Morpho butterfly wing and introduce Morpho-Enhanced Polarized Light Microscopy (MorE-PoL), a stain- and contact-free imaging platform that enhances and quantifies the birefringent material properties of fibrous biological tissues.
View Article and Find Full Text PDFA Neighborhood-Level Hispanic Paradox: the Interaction between Hispanic Density, Neighborhood Disadvantage, and Survival in Breast Cancer Patients.
Cancer Epidemiol Biomarkers Prev
January 2025
Memorial Sloan Kettering Cancer Center, New York, United States.
Background: To evaluate the impact of Hispanic ethnic enclaves (EE) on the relationship between neighborhood disadvantage and overall survival (OS) in breast cancer (BCa) patients.
Methods: Data from BCa patients with stage I-IV disease diagnosed between 2005-2017 was used to analyze the effects of Area Deprivation Index (ADI) scores, a measure of neighborhood disadvantage, and census-tract level Hispanic density, a measure of EE, on OS using mixed-effects Cox regression models. The final model included the following individual-level factors (age, income, race, Hispanic/Latino origin, nativity, insurance status, and comorbidities (hypertension, diabetes, and body mass index) and clinical factors (National Comprehensive Cancer Network guideline-concordant treatment, stage, and receptor subtype).
Want 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!