Volume of Mammographic Density and Risk of Breast Cancer
Cancer Epidemiology Biomarkers & Prevention2011Vol. 20(7), pp. 1473–1482
Citations Over TimeTop 1% of 2011 papers
John Shepherd, Karla Kerlikowske, Lin Ma, Frederick Duewer, Bo Fan, Jeff Wang, Serghei Malkov, Eric Vittinghoff, Steven R. Cummings
Abstract
Risk models including dense fibroglandular volume may more accurately predict breast cancer risk than current risk models.
Related Papers
- → Accuracy of Assigned BI-RADS Breast Density Category Definitions(2006)125 cited
- → Can Ultrasound Elastography Help Better Manage Mammographic BI-RADS Category 4 Breast Lesions?(2021)5 cited
- Mammographic Density Estimation by Volpara software: Comparison with Radiologists’ visual assessment and relationship with BI-RADS category(2014)
- Comparative analysis of BI-RADS III-IV lesions imaging by X-ray mammography and ultrasound(2011)
- → Mammographic breast density distribution and the fifth-edition BI-RADS criteria(2019)