AI Article Synopsis

  • Study investigates the link between natural vegetation (greenness) and breast cancer risk, focusing on its impact on mammographic density, a key risk factor.
  • Participants (2,318 women without a breast cancer history) underwent mammograms, with satellite data used to assess greenness in their neighborhoods from 1 to 5 years prior.
  • Results showed no significant association between levels of greenness and mammographic density in both premenopausal and postmenopausal women, suggesting that the previously observed protective effects of greenness on breast cancer might be due to factors other than breast tissue composition.

Article Abstract

Unlabelled: Inverse associations between natural vegetation exposure (i.e., greenness) and breast cancer risk have been reported; however, it remains unknown whether greenness affects breast tissue development or operates through other mechanisms (e.g., body mass index [BMI] or physical activity). We examined the association between greenness and mammographic density-a strong breast cancer risk factor-to determine whether greenness influences breast tissue composition independent of lifestyle factors.

Methods: Women (n = 2,318) without a history of breast cancer underwent mammographic screening at Brigham and Women's Hospital in Boston, Massachusetts, from 2006 to 2014. Normalized Difference Vegetation Index (NDVI) satellite data at 1-km resolution were used to estimate greenness at participants' residential address 1, 3, and 5 years before mammogram. We used multivariable linear regression to estimate differences in log-transformed volumetric mammographic density measures and 95% confidence intervals (CIs) for each 0.1 unit increase in NDVI.

Results: Five-year annual average NDVI was not associated with percent mammographic density in premenopausal (β = -0.01; 95% CI = -0.03, 0.02; = 0.58) and postmenopausal women (β = -0.02; 95% CI = -0.04, 0.01; = 0.18). Results were similar for 1-year and 3-year NDVI measures and in models including potential mediators of BMI and physical activity. There were also no associations between greenness and dense volume and nondense volume.

Conclusions: Greenness exposures were not associated with mammographic density.

Impact: Prior observations of a protective association between greenness and breast cancer may not be driven by differences in breast tissue composition, as measured by mammographic density, but rather other mechanisms.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9374192PMC
http://dx.doi.org/10.1097/EE9.0000000000000216DOI Listing

Publication Analysis

Top Keywords

mammographic density
16
breast cancer
16
greenness breast
12
breast tissue
12
natural vegetation
8
greenness
8
cancer risk
8
physical activity
8
association greenness
8
tissue composition
8

Similar Publications

Giant triple negative pregnancy-associated breast cancer (PABC) in a young woman: From diagnosis to therapy step by step: A case report.

Radiol Case Rep

March 2025

Department of Diagnostic Imaging, Oncological Radiotherapy, and Hematology, Diagnostic Imaging Area, Italy.

Pregnancy-associated breast cancer (PABC) presents unique challenges. This type of breast cancer is often more aggressive than that diagnosed in nonpregnant women, and its diagnosis is frequently delayed. Several factors contribute to this delay, including the physiological changes that occur during pregnancy, such as breast enlargement, breast tenderness and increased tissue density, which can mask early signs of malignancy.

View Article and Find Full Text PDF

External validation of a multivariable prediction model for positive resection margins in breast-conserving surgery.

BMC Res Notes

January 2025

Department of Surgery, Department of Clinical Sciences, Division of Surgery, Skåne University Hospital, Lund University, Lund, Sweden.

Objectives: Positive resection margins after breast-conserving surgery (BCS) most often demands a repeat surgery. To preoperatively identify patients at risk of positive margins, a multivariable model has been developed that predicts positive margins after BCS with a high accuracy. This study aimed to externally validate this prediction model to explore its generalizability and assess if additional preoperatively available variables can further improve its predictive accuracy.

View Article and Find Full Text PDF

The characteristics of heartwood and sapwood not only reflect tree growth and site quality but also provide insights into habitat changes. This study examines the natural Oliv. forest in the Arghan section of the lower Tarim River, comparing the heartwood and sapwood characteristics of at different distances from the river, as well as at varying trunk heights and diameters at breast height (DBH).

View Article and Find Full Text PDF

Coffee cherry pulp (CCP) is a by-product of coffee bean production. CCP contains amounts of phenolic compounds that are beneficial for animals. This study evaluated the impact of coffee cherry pulp extract (CCPE) supplementation on growth performance, meat quality, carcass characteristics, serum biochemistry, cecum microbial population, intestinal morphology, and immune and antioxidant responses of broilers.

View Article and Find Full Text PDF

Background/objectives: This study pioneers the application of the ViPLUS module, utilizing plane-wave ultrasound to measure breast tissue viscosity and elasticity. The primary goal was to establish normal reference values for viscosity in healthy women. Secondary objectives included exploring correlations between breast tissue viscosity and breast density categories, hormonal influences, and menstrual cycle phases.

View Article and Find Full Text PDF

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!