Interactive Transcript
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So this next patient is a 36-year-old gentleman.
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History provided is liver mass, and CT scan was
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performed with or without contrast to evaluate it.
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As we scroll down on the CT images on the non-
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contrast phase, you can see a very large mass
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that really replaces almost the entire liver.
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On the post-contrast sequences, you can see
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that there is very heterogeneous enhancement.
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Um, and it's really a bizarre-looking lesion with lots of
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enhancements seen in all sorts of portions of this mass.
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They did do another portal venous phase image, and on that
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image, we can see that some of the lesion looks isodense
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to the liver parenchyma, some of it looks hyperdense.
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So it's just a very bizarre-looking lesion that's
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replacing much of the liver, and for this reason,
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an MRI was ordered to further evaluate this.
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So we'll start our evaluation of this lesion on, uh, on
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these MR sequences by looking at our T2-weighted sequences.
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On the T2-weighted sequence performed without
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FATSAT, we really see a very, very large lesion.
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Quite bright, hyperintense T2 signal seen throughout it.
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On the T2-weighted sequence performed
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with FATSATuration, show similar findings.
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A very large liver lesion replacing much of the liver, in
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fact, and has quite bright signal on the T2-weighted images.
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Next up, we're going to look at
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the T1 in and out of phase images.
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In the out-of-phase image, we can see a very,
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very large lesion, T1 hypointense with respect
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to the liver parenchyma on the in-phase image.
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Again, very large lesion, T1 hypointense.
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Looks pretty similar whether it's on
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the in-phase or out-of-phase images.
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There's no signal loss in the out-
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of-phase image to suggest fat.
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There's no signal loss in the in-phase image to suggest,
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uh, content that causes, uh, susceptibility artifact.
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Next up, we're going to look at the, uh,
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imaging evaluation of this on the T1 fat-
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saturated pre-contrast imaging sequence.
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And so we're on T1 fat-sat pre-contrast image.
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It has pretty homogeneous signal that is T1 hypointense
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with respect to the liver parenchyma.
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There's no areas of hyperintense T1 signal to suggest
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blood contents, melanin, or proteinaceous debris.
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And finally, on the post-contrast images, we
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can see that this lesion definitely enhances.
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On the arterial phase image, very tough to sort of figure
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out where this lesion starts, where this lesion ends,
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but what we can say with perhaps more certainty is that
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wherever there's contrast enhancement on the arterial phase,
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that progressively fills in on the portal venous phase.
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And, and on our equilibrium phase.
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So while this lesion is sort of bizarre in the sense that
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it's hard to sort of define its borders, its enhancement
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characteristics are quite compatible with a hemangioma.
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And this turns out to be a very
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rare entity called hemangiomatosis.
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And this really refers to this entity where you
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have almost innumerable hepatic hemangiomas which
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replace the majority of the liver parenchyma.
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Now, this patient happened to have a prior MRI a few
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years back, so I'll show you what that looks like just to
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give you a sense of how progressive this entity can be.
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And so here I've pulled up the study from, uh, about five
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years ago compared to the study done more recently in
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this patient, and here we have the T2-weighted sequences.
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And just focusing on, uh, on this particular slide,
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so here we have a T2 FAT SAT sequence seen in both.
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This is the old exam from about five years
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prior, this is the more recent new study.
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If we just look at the T2 signal in the interim, here we can
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see that, uh, there's bright T2 signal here, there's bright
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T2 signal here, with relatively normal liver parenchymal
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signal in between, and now that has all been replaced.
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by this bright T2 signal seen throughout
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the majority of the right hepatic lobe.
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So this, uh, is, uh, how hemangiomatosis can progress.
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You have these very ill-defined hemangiomas
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that really replace the entire liver.
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And particularly when this entity occurs in infants,
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it can be associated with high-output cardiac failure.
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So, that's something to look out for in
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pediatric patient populations.
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