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Introduction to Tomosynthesis (DBT) - Why Learn about Tomosynthesis?

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So, uh, just to start here, I'm gonna go over

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a little bit of, uh, why to take this course,

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why, why it might be of interest to you.

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Um, uh, some background on tomosynthesis.

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We're gonna talk about image acquisition and,

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uh, and technique, um, and how that might

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be a little bit different from standard,

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um, 2D or full-field digital mammography.

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I'll talk a little about, um, reviewing screening

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and diagnostic performance of tomo and why it's

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become an increasingly, uh, popular, uh, modality

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or method for, uh, detecting breast cancers.

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And then, uh, finally review just a

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little bit on, um, CAD and CAD-AI, uh, and

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applications of those in, uh, tomosynthesis.

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So, um, as I mentioned, uh, DBT, I'm, I'm gonna

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refer to it as DBT probably throughout our course,

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uh, here, uh, just because it'll be easier.

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Uh, it's becoming increasingly common, uh, in breast

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imaging practices, particularly in the United States.

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Um, when I started fellowship, uh, in

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2014, um, tomosynthesis, at least in our

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practice, was just barely getting started.

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We maybe did 10 DBT exams a day out

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let's say 150 screeners.

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Uh, now our practice is completely flipped,

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where we might do 10 or 20, uh, full-field,

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uh, 2D exams, and the rest are tomosynthesis.

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So the world has completely changed, uh,

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in terms of breast imaging since that time.

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Uh, and I think this is true

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across many practices in the U.S.

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Um, and the reason this is because DBT

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has become a well-established improvement

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over standard, uh, 2D mammography.

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Um, uh, like I said, we're gonna review some

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sort of classic cases, uh, here, and this will

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be important for, um, getting up to speed on

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tomosynthesis and incorporating it into your practice.

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Um, we're gonna understand the imaging appearance of

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the classic findings and how DBT improves accuracy,

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and of course, reviewing this, uh, kind of thing.

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We'll just improve your confidence

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in daily interpretation.

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So, uh, as you all probably know, traditional,

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uh, digital screening or full-field digital

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is limited in its sensitivity for women, right?

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We know.

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If you look at the sensitivity of mammography, it's

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highest in those with completely fatty, uh, breasts.

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And its, uh, sensitivity is the least in

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those, one with extremely dense breasts.

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Um, so DBT can really help improve

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to see through that tissue.

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Traditional screening also hampered

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by high false positives, right?

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Related to that tissue overlap or superimposition.

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DBT was approved initially by the FDA in 2011.

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Um, and as mentioned, becoming the

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standard of care in breast imaging.

Report

Faculty

Ryan W. Woods, MD, MPH

Assistant Professor of Radiology

University of Wisconsin School of Medicine and Public Health

Tags

Women's Health

Tomosynthesis

Oncologic Imaging

Mammography

Breast

AI Technologies

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