Introduction: Breast density plays a significant role in increasing an individual's risk of breast cancer and its mortality rate.
Objectives: We aimed to assess the correlations of mammographic breast density with age, body mass index, weight, height and parity for the first time in Sri Lankan women.
Methods: 52 participants who underwent diagnostic mammographic examinations at a tertiary care hospital in Sri Lanka were selected for the study. Demographic data and digital mammograms in DICOM format were collected. Mammographic breast density was quantitatively estimated using a validated, semi-automated computer programme devised by the authors using Java programming language.
Results: 65.4% of the participants were postmenopausal, and 34.6% were premenopausal. Mammographic breast density showed a significant negative correlation with age (r = -0.40, p < 0.05) and significant positive correlations with body mass index (r = 0.49, p< 0.05) and weight (r = 0.52, p< 0.05). The study did not find any correlation between mammographic breast density and height. Additionally, it did not find a significant difference between right and left breasts or between parous and nulliparous patients. Mammographic breast density was significantly higher among premenopausal patients compared to postmenopausal patients.
Conclusions: Quantitative mammographic breast density demonstrated significant correlations with age, body mass index and weight. The findings of the study will be constructive in predicting breast density in the future and individualizing the breast cancer screening requirements based on the breast density without radiation exposure for females in Sri Lanka.
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http://dx.doi.org/10.4038/cmj.v67i3.9697 | DOI Listing |
BMC Womens Health
January 2025
Department of General Surgery, İstanbul Faculty of Medicine, İstanbul University, İstanbul, 34093, Türkiye.
Background: The Bahçeşehir population-based mammography screening program (BMSP) is an example of Türkiye's first population-based screening program. This study aims to reveal the successful implementation of population-based secreening program in one of the low- and middle-income countries, Türkiye and long-term results of patients diagnosed with breast cancer during BMSP.
Methods: This study was conducted between 2009 and 2019, in the Bahçeşehir county of Istanbul.
Cancer Causes Control
January 2025
North Valley Breast Clinic, 1335 Buenaventura Blvd, Suite 204, Redding, CA, 96001, USA.
Objectives: Automated breast ultrasound imaging (ABUS) results in a reduction in breast cancer stage at diagnosis beyond that seen with mammographic screening in women with increased breast density or who are at a high risk of breast cancer. It is unknown if the addition of ABUS to mammography or ABUS imaging alone, in this population, is a cost-effective screening strategy.
Methods: A discrete event simulation (Monte Carlo) model was developed to assess the costs of screening, diagnostic evaluation, biopsy, and breast cancer treatment.
Alzheimers Dement
December 2024
Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA.
Background: Recent research reported that cancer patients had lower risk of Alzheimer's disease (AD). Common signaling pathways, hormonal systems, and genetic predispositions have been hypothesized as important factors contributing to this inverse association. However, the exact mechanisms are still unknown.
View Article and Find Full Text PDFTheranostics
January 2025
Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, USA.
Metastasis represents a stage in which the therapeutic objective changes from curing disease to prolonging survival, as detection typically occurs at advanced stages. Technologies for the early identification of disease would enable treatment at a lower disease burden and heterogeneity. Herein, we investigate the vascular dynamics within a synthetic metastatic niche as a potential marker of disease progression.
View Article and Find Full Text PDFBreast J
January 2025
HTA Austria-Austrian Institute for Health Technology Assessment (AIHTA) GmbH, Garnisongasse 7/21, Vienna 1090, Austria.
Purpose: Breast cancer is the most common cancer among women globally, with an incidence of approximately two million cases in 2018. Organised age-based breast cancer screening programs were established worldwide to detect breast cancer earlier and to reduce mortality. Currently, there is substantial anticipation regarding risk-adjusted screening programs, considering various risk factors in addition to age.
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