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Approach to Interpretation on Tomosynthesis - Overview

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Okay.

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We're now gonna discuss, uh, tomosynthesis

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approach to interpretation and lesion localization.

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The approach to interpretation for, uh, DBT, uh,

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is in large part very similar to the approach

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to interpretation for standard 2D mammography.

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Of course, there are some differences

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incorporating the DBT dataset into your

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search pattern or hanging protocol.

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Um, but all the other stuff is the same, right?

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We need appropriate environment for

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interpretation that includes low-level

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lighting, no interruptions, hopefully.

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Uh, and in some practices this can be done with

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batch reading as well. As with 2D digital mammography,

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you need a standardized

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approach to interpretation, so

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everybody can come up with their own, um, sort

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of way that they approach an imaging exam.

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This is true for anything we do in radiology, um,

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but it's important to do the same thing each time

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you do it, uh, and maintain your same search pattern

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as you're going through screening exams.

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As you all know, screening mammography in

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general is a relatively brief exam, right?

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We spend maybe one or two minutes

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looking at a screening exam, and so

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we need to be able to do that quickly,

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uh, efficiently, uh, but make sure we also

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view all of the different portions of the exam.

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So, um, for me, what I like to do

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is look at the sort of current exam.

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First, I look at — um, we use, uh, SM in our practice.

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So I look at SM views, sort of a global

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picture about what the exam, uh, looks like.

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I like to look for things like image quality first,

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make sure the patient is well positioned, make

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sure the images look like they're pretty good.

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Um, and then I like to compare to the DBT views.

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I go through the DBT slices for

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each of the four different views.

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I might review additional views that have been obtained

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by the technologist to get more tissue on the exam.

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For example, an XCCL or tail view, or something

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about the IMF, or maybe a repeated one for motion.

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And then I like to compare it to prior exams.

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Um, and I do that in two ways.

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One way I do that is first to set up

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the SM or DBT view on, uh, one monitor.

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And on my separate monitor, I'll have

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prior views that are automatically loaded

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for the past, let's say three to five years.

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Um, then I'll be able to scroll through those quickly.

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But then I also like to do it where I'll have the

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SM view on the far left-hand side of one screen, and

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then multiple prior views extending to the right.

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And those are static,

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so I can look across the monitors

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to see, uh, multiple prior exams.

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Of course, like I said, everybody will

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have their own way of interpreting.

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Um, and that's just the way that I do

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it, but I do it the same way each time.

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So as I mentioned, um, I would start with an overall

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view of synthesized mammography, um, and getting

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sort of an overall picture of what's going on.

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Right?

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Is positioning okay?

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Is the image quality

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okay?

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Are there any other things that I need to know

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about before I start looking at the DBT portions?

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This is the, um, comparison that I mentioned

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that was sort of a static comparison, right?

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So I have current DBT in the far left-hand

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side, prior SM view, the next prior SM view,

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and the next prior SM view from that, right?

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So we can look back, assuming we have

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this patient was screened every year.

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We can look back three years very quickly,

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same view, see if there's anything changing —

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the tissue pattern, the positioning, or if

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there's anything new that has, um, popped up.

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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