Interactive Transcript
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So we talked about, uh, some of the clinical indications,
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how people are using it, some of the data.
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Now we're gonna talk about
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where things are headed in the future.
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Um, there are three main areas that we're talking about,
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which is breast cancer screening, using contrast mammo, um,
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in the diagnostic setting just
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to formalize those indications a little bit.
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And then radio mix, which is AI and machine learning
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and really, really neat stuff is happening.
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So we'll talk about breast cancer screening.
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This is, um, this is a topic that I think most of us
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who use contrast mammo, most of us, most people who, who
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see tox on contrast mammo.
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This is the area that we're most excited about, especially
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for women who have dense breast tissue who are at high risk.
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Maybe they don't qualify for an MRI
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can we do a better job at finding breast cancers
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for these women above what we're already able to do
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for tomosynthesis with tomosynthesis and ultrasound.
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So this is a patient, um, who has,
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is high risk for breast cancer.
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She had a contrast mammo. This was a screening exam.
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You'll see the, um, low energy images were negative,
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and then we do the recombined images
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and we can see, um,
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a hormone receptor positive cancer in the right breast.
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And so this is kind of what we're talking about.
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We're talking about identifying cancers that we would
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otherwise miss on our conventional imaging.
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I mean, this is, this is why we're excited about MRI.
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So, um, the problem is that the data is, uh, is not
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yet there where we can do contrast mammo for screening.
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Certainly it has not been FDA approved for this indication.
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So let's talk about the data.
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Um, we have retrospective studies, reader studies,
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and then there's SE seima, which is really, really excellent
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that have already been, um, seima is, is happening now.
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But there are some retrospective
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and reader studies that are out.
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So Soren in colleagues in 2018
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compared contrast enhanced mammography, the full exam,
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low energy and recombined images to, um,
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the low energy alone, which is kind
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of a surrogate for mammography.
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And they found an additional 13
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breast cancers per thousand women's screened.
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2019. The MSK group looked at their data
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for contrast mammo, and they found a cancer detection rate
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of 15 per thousand women's screen,
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which is much higher than the standard, uh,
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cancer detection rate rates.
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We typically talk about with mammo
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or with tomosynthesis, which is about, you know, three
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to five, three to six breast cancers per thousand.
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There are also retrospective studies on, uh, women
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who have had a history of breast cancer, those
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that are above average risk.
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Women who have dense breast history of lobular neoplasia.
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And they all say the same thing, which is
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that contrast Mammo does a better job than conventional.
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Mammo, though is really gonna be, um, the test,
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the trial that helps differentiate.
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Should we be doing this?
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It's a prospective trial, it's a multicenter trial.
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What Seamless is doing, it's recruiting about
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2000 women.
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These women are getting both tomosynthesis
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and contrast mammo.
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And it's gonna be able to see
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what the difference is in cancer detection
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and also what the difference is in false positives
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because that impacts, um, our view
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of whether this is a good screening test.
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And they'll track, um, you know, contrast reactions
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and what, so that we can really get an overall look at
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how this modality plays for women
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who have dense breast tissue, the good and the bad,
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and compare it and see if this is something we wanna do.
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The results of that should be out in a few years.
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It's very exciting. Uh, stay tuned.
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My group published, um, a trial more recently
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that compared contrast enhanced mammo to MRI
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for breast cancer screening.
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We had 132 CEM
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and MRI exams in an asymptomatic, uh, population
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of women 132.
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That's a huge number. And we had 12
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equal 12 radiologists look at all of these exams
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and we compared the performance metrics.
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And what we found as expected is
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that CEM performed a little bit worse than
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the full MRI protocol.
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You can see CEM sensitivity was 89%,
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whereas the full MRI was at 94%.
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But look at the sensitivity of 2D mammography, which was 70,
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75%, much lower.
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Um, we found that the specificity
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of contrast mammo was higher than the full MRI protocol,
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which again, is what we'd expect.
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Fewer false positives.
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When we see something on that on the MRI,
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on a contrast mammo, it's more likely to be breast cancer.
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And when we look at that metric of accuracy, which is a,
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you see, to see how, what the balance is
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between cancer detection
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and, um, not finding benign things, we see
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that actually the the accuracy is very similar
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between both of these exams.
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And we confirmed that
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contrast enhanced mammography is non-inferior to breast MRI.
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And this was great. I mean, we looked at a lot of cases
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and we had a lot of people look at it.
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And so this helps perpetuate the idea, move forward.
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The idea that these two exams are very,
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very similar overall, unfortunately, again, as I mentioned
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before, we don't have enough data yet to, um,
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to really embrace this fully for breast cancer screening.
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Certainly the organizations that guide us have not done so.
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And so really, um, where we're at
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for screening is the a CR has acknowledged that
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CM has value, but that there's limited data.
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And so it's really only recommending it when MRI
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cannot be performed.
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I imagine this will change over time,
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but this is where we stand today.
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The NCCN, which is the National Comprehensive Cancer
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Network, has a similar approach.
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Really use contrast mammo
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for breast cancer screening when you can't perform an MRI.
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Same thing with US obi,
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which is the European Society of Breast Imaging.
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So that's kind of where we're at.
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I imagine that will, um, things will change over time,
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as I mentioned.