Mammography

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With ongoing gaps in mammography screening and patient anxiety that often accompanies screening exams and a possible diagnosis of breast cancer, patient education is critical. Accordingly, in a recent video interview, Amy K. Patel, M.D., discussed the potential impact of new patient-oriented breast cancer screening guidelines from the National Comprehensive Cancer Network.

A closer look at the literature suggests the combination of digital breast tomosynthesis (DBT) and two-dimensional (2D) digital mammography (DM) has relatively equivalent cancer detection rates as using DM alone, according to a recent presentation at the Society of Breast Imaging (SBI)/American College of Radiology (ACR) conference.

Amid a glut of unnecessary imaging requests, common worklist frustrations and perceptions from other clinicians that they can interpret medical images just as well, recognizing your role as a humble difference maker may provide the ultimate RVU for patients.

In a retrospective study involving mammography screening in over 114,000 women, researchers found that an artificial intelligence model had comparable specificity and sensitivity to radiologist screenings, reduced false positive results by 25 percent and reduced radiologist workload by more than 62 percent.