Breast Density and Parenchymal Patterns as Markers of Breast Cancer Risk: A Meta-analysis
By V. McCormack, I. dos Santos Silva. Cancer Epidemiology, Biomarkers and Prevention, 2006
2,080 citations recorded by the source corpus.
Subfields: Oncology, Pulmonary and Respiratory Medicine
View Paper: https://www.semanticscholar.org/paper/49b25cd6ca3d008704f5a6cebf6da9ad761bf817
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In Oncology
Citations in the corpus
- Breast cancer screening with imaging: recommendations from the Society of Breast Imaging and the ACR on the use of mammography, breast MRI, breast ultrasound, and other technologies for the detection of clinically occult breast cancer. (2010, background): “Breast density in and of itself has been shown by several studies to be an independent risk factor for the development of breast cancer, with the relative risk for women with the most dense breasts 2 to 6 times that of women with the least dense breasts [76-78].”
- Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring (2016, neutral): “According to several studies, women with high MD have a two to six-fold increased breast cancer risk compared to women with low MD [4], [5].”