Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Department of Imaging Physics, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Breast J. 2020 Aug;26(8):1535-1542. doi: 10.1111/tbj.13965. Epub 2020 Jul 11.
Mammographic breast density and various breast MRI features are imaging biomarkers that can predict a woman's future risk of breast cancer. While mammographic density (MD) has been established as an independent risk factor for the development of breast cancer, MD assessment methods need to be accurate and reproducible for widespread clinical use in stratifying patients based on their risk. In addition, a number of breast MRI biomarkers using contrast-enhanced and noncontrast-enhanced techniques are also being investigated as risk predictors. The validation and standardization of these breast MRI biomarkers will be necessary for population-based clinical implementation of patient risk stratification, as well. This review provides an update on MD assessment methods, breast MRI biomarkers, and their ability to predict breast cancer risk.
乳腺 X 线摄影密度和各种乳腺 MRI 特征是影像学生物标志物，可预测女性未来患乳腺癌的风险。虽然乳腺 X 线摄影密度（MD）已被确立为乳腺癌发生的独立危险因素，但 MD 评估方法需要准确且可重复，以便在基于风险对患者进行分层时广泛应用于临床。此外，还在研究使用对比增强和非对比增强技术的一些乳腺 MRI 生物标志物作为风险预测因子。这些乳腺 MRI 生物标志物的验证和标准化对于基于人群的患者风险分层的临床实施也是必要的。本综述提供了 MD 评估方法、乳腺 MRI 生物标志物及其预测乳腺癌风险能力的最新信息。
