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Function: require_once
Background: We sought to evaluate whether a woman's 5-year Gail risk adds to the predictive value of the Breast Imaging Reporting and Data System (BI-RADS) classification for the detection of breast cancer.
Methods: We performed a retrospective review of the BI-RADS classifications and pathology results for all image-guided needle breast biopsy examinations over a 3-year period at our institution. The 5-year Gail risk was calculated for eligible patients. Chi-square analysis was used to compare rates of malignancy based on Gail and BI-RADS scores.
Results: A total of 632 image-guided needle biopsy examinations were performed in 609 women. A total of 414 women had suspicious (BI-RADS 4) lesions and underwent 424 biopsy examinations. For this subset, women with a Gail risk of less than 1.7% had 21% malignant results, whereas those with a Gail risk of 1.7% or greater had 42% malignant results (relative risk, 1.94; 95% confidence interval, 1.45-2.66).
Conclusions: The Gail model can stratify further the risk for breast cancer in women with suspicious breast imaging reports.
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http://dx.doi.org/10.1016/j.amjsurg.2005.06.006 | DOI Listing |
Liver Int
January 2025
Disease Elimination Program, Burnet Institute, Melbourne, Australia.
Int J Environ Res Public Health
September 2024
Patient Centered Solutions, IQVIA, 92400 Courbevoie, France.
This exploratory qualitative study involved semi-structured interviews with adults and caregivers of adults at high risk of severe COVID-19, addressing current COVID-19 avoidance and protective behaviors and how these behaviors impacted their lives. Results were interpreted in a separate think tank session. Insights were developed into a conceptual model of COVID-19 avoidance and protective behaviors and the associated impacts on health-related quality of life and overall functioning.
View Article and Find Full Text PDFMedicine (Baltimore)
October 2024
Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Lancet Digit Health
October 2024
Center for Healthy Aging, Department of Cellular and Molecular Medicine, University of Copenhagen, Copenhagen, Denmark. Electronic address:
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