磁共振成像
医学
乳腺癌
乳腺癌筛查
模态(人机交互)
乳腺摄影术
医学影像学
医学物理学
癌症
乳房成像
放射科
计算机科学
内科学
人工智能
作者
Yiming Gao,Beatriu Reig,Laura Heacock,Debbie L. Bennett,Samantha L. Heller,Linda Moy
标识
DOI:10.1016/j.rcl.2020.09.004
摘要
Magnetic Resonance (MR) imaging is the most sensitive modality for breast cancer detection but is currently limited to screening women at high risk due to limited specificity and test accessibility. However, specificity of MR imaging improves with successive rounds of screening, and abbreviated approaches have the potential to increase access and decrease cost. There is growing evidence to support supplemental MR imaging in moderate-risk women, and current guidelines continue to evolve. Functional imaging has the potential to maximize survival benefit of screening. Leveraging MR imaging as a possible primary screening tool is therefore also being investigated in average-risk women.
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