Jayadevan Rashmi, Armada M Julie, Shaheen Rola, Mulcahy Constance, Slanetz Priscilla J
From the Department of Radiology, Beth Israel Deaconess Medical Center, 330 Brookline Ave, Boston, MA 02215 (R.J., M.J.A., C.M., P.J.S.); and Department of Radiology, Mafraq Hospital, Abu Dhabi, United Arab Emirates (R.S.).
Radiographics. 2015 Nov-Dec;35(7):2080-9. doi: 10.1148/rg.2015150036.
Early detection of breast cancer through routine mammographic screening has been shown to reduce mortality from breast cancer by up to 30% in multiple studies. However, this reduction of mortality is possible only with careful attention to image quality by the medical physicist, radiologic technologist, and interpreting radiologist. The accepted quality control (QC) processes for analog mammography are well established. However, now that use of digital units is widespread in both the United States and internationally, information regarding the necessary steps and the inherent challenges that might be encountered at each step needs to be elucidated. In this review, the essential steps of the QC process for digital mammography are reviewed, with special attention to the possible problems that can occur during the QC process, many of which can lead to image artifacts. For each of the daily, weekly, monthly, and semiannual QC tests, we review the steps and expected performance and provide examples of some of the common artifacts that may be encountered. Understanding the components of the QC process and recognizing problems that may result in a suboptimal image is critical to ensure optimal image quality in an effort to maximize early detection of breast cancer.
多项研究表明,通过常规乳腺钼靶筛查早期发现乳腺癌,可将乳腺癌死亡率降低多达30%。然而,只有医学物理学家、放射技师和解读影像的放射科医生都认真关注图像质量,才能实现这种死亡率的降低。模拟乳腺钼靶的公认质量控制(QC)流程已很成熟。然而,鉴于数字设备在美国和国际上都已广泛使用,需要阐明必要步骤以及每个步骤可能遇到的内在挑战的相关信息。在本综述中,我们回顾了数字乳腺钼靶QC流程的基本步骤,特别关注QC过程中可能出现的问题,其中许多问题会导致图像伪影。对于每日、每周、每月和每半年的QC测试,我们回顾了步骤和预期性能,并提供了一些可能遇到的常见伪影示例。了解QC流程的组成部分并识别可能导致图像不理想的问题,对于确保最佳图像质量以最大程度地早期发现乳腺癌至关重要。