Objective: To compare imaging features of interval cancers detected in patients screened with full field digital mammography (FFDM) versus digital breast tomosynthesis (DBT).
Materials/methods: This retrospective observational study consisted of female patients undergoing screening DM or FFDM at an academic medical center and two outpatient imaging facilities between January 2012 and June 2017. A natural language processing algorithm queried breast imaging reports for breast density and BI-RADS category.
Objective: To evaluate the impact of a new electronic procedural protocol on start times of pre-operative breast localization procedures.
Methods: This HIPAA-compliant, Institutional Review Board-exempted, quality improvement initiative was performed at a large tertiary academic center. In May 2018, an electronic version of the pre-procedure protocol for breast localizations was created within the electronic health record; prior to this time, the protocol was completed manually on a paper form.
Purpose: To compare ultrasound visibility of selected biopsy markers in animal tissue models simulating axillary echotexture.
Methods: Four breast biopsy markers were selected based on size, shape, and composition and compared to an institutional standard for testing in beef steak and pork loin phantoms. BD® UltraCor™ Twirl™; Hologic® Tumark® Professional series Q, Vision, and X; and BD® UltraClip™ Dual Trigger wing-shaped (institutional standard) biopsy markers were deployed at superficial (0-2.
The purpose of this study was to compare the cancer detection rates (CDRs), tumor types, and characteristics between screening digital breast tomosynthesis (DBT) and screening full-field digital mammography (FFDM) in a matched patient population in a large academic breast imaging practice with mixed DBT and FFDM technology. In this retrospective study, we reviewed consecutive screening FFDM and DBT examinations performed between October 2012 and September 2014. To control for nonrandomized selection of FFDM versus DBT examinations, we applied propensity score matching on the basis of patient age, imaging site, and prior imaging findings.
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