乳房密度
医学
乳腺癌
乳腺摄影术
乳腺照相密度
乳腺组织
风险评估
危险分层
乳房成像
乳腺癌筛查
肿瘤科
医学物理学
妇科
放射科
内科学
癌症
计算机科学
计算机安全
作者
Christine E. Edmonds,Sophia R. O’Brien,Emily F. Conant
标识
DOI:10.1053/j.sult.2022.11.001
摘要
Mammographic breast density is widely accepted as an independent risk factor for the development of breast cancer. In addition, because dense breast tissue may mask breast malignancies, breast density is inversely related to the sensitivity of screening mammography. Given the risks associated with breast density, as well as ongoing efforts to stratify individual risk and personalize breast cancer screening and prevention, numerous studies have sought to better understand the factors that impact breast density, and to develop and implement reproducible, quantitative methods to assess mammographic density. Breast density assessments have been incorporated into risk assessment models to improve risk stratification. Recently, novel techniques for analyzing mammographic parenchymal complexity, or texture, have been explored as potential means of refining mammographic tissue-based risk assessment beyond breast density.
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