Interactive Transcript
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Hello and welcome to Noon Conferences
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hosted by MRI Online. In response to
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changes happening around the world
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right now and the shutting down of in-person
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events, we've decided to provide free daily
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Noon Conferences to all radiologists worldwide.
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Today we're joined by Dr. Javad Azadi.
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He is an academic radiologist
0:18
at the Johns Hopkins Hospital.
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He is interested in hepatic—sorry, hepatic
0:23
steatosis and the metabolic syndrome.
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He is assistant course director for the
0:27
Diagnostic Radiology medical student elective,
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and is a member of the RSNA COVID-19 Task Force.
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A quick reminder, there'll be time at the end of
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the hour for a Q and A session, so please
0:38
use the Q and A feature to ask questions,
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and we'll get to as many as we can before our time's up.
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That being said, thank you for
0:44
joining us today. Dr. Azadi,
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I'll let you take it from here.
0:48
Alright. Welcome, everyone, and thank you for joining.
0:50
My name is Dr. Javad Azadi, and as mentioned, I'm an
0:53
Assistant Professor in the Department
0:54
of Radiology at Johns Hopkins.
0:57
And today we're gonna be discussing
0:59
ultrasound elastography, and how to
1:00
use it to assess hepatic fibrosis.
1:04
I have no disclosures.
1:05
Um, and our learning objectives for today's talk
1:09
include reviewing the liver fibrosis scoring
1:12
systems, of which you may not be familiar with
1:15
because you're radiologists, not pathologists.
1:17
Review the techniques to measure liver
1:19
fibrosis using ultrasound elastography,
1:22
and finally, learn how to interpret and
1:24
report ultrasound elastography results.
1:28
As a review for liver fibrosis,
1:30
remember that liver fibrosis exists on a spectrum of
1:33
disease, from minimal injury to end-stage cirrhosis.
1:36
So you often think about cirrhosis as being
1:40
a nodular liver with contour deformities.
1:43
Uh, you may have portal hypertension.
1:46
And you may see some of these findings in
1:48
a spectrum and attribute it to cirrhosis.
1:50
And it's important to consider that hepatic fibrosis
1:54
is a spectrum, and it's not cirrhosis, because
1:56
cirrhosis reflects the end stage of that process.
2:01
Common etiologies of liver fibrosis include alcohol
2:04
abuse, non-alcoholic fatty liver disease, such as
2:08
steatohepatitis, and then chronic viral infections
2:12
such as Hepatitis C and Hepatitis B.
2:17
There are several widely validated methods
2:21
to score fibrosis using histopathology.
2:24
These include the SAF method, which uses six
2:27
stages, and it's the most sensitive, and it can
2:29
be readily translated into the other scores.
2:32
The reason why this uses six stages is
2:33
because it actually will characterize
2:36
early cirrhosis and advanced cirrhosis.
2:40
METAVIR might be the most widely used system.
2:42
It uses three categories, with a fourth
2:44
category being normal—but mild, moderate,
2:47
severe—with severe representing cirrhosis.
2:50
And then there's the Batts-Ludwig
2:52
category, which is also a four-category scale.
2:55
It has simple definitions based on the degrees
2:58
of interface hepatitis, as well as lobular injury
3:00
inflammation that the pathologist may see.
3:03
And just for a reminder, you may
3:05
see the spectrum includes periportal fibrosis,
3:08
bridging fibrosis, and nodularity.
3:13
When would a clinician want to know
3:16
about a patient's hepatic fibrosis?
3:18
Well, three commonly accepted indications would be
3:21
evaluating the grade of fibrosis prior to initiation
3:24
of an antiviral therapy for chronic viral hepatitis.
3:27
Now we have cures for Hepatitis C, and we have
3:30
several cures, whereas 10 years ago we didn't.
3:33
They want to know how much liver damage has
3:35
occurred and if the patient will benefit.
3:40
Some patients may present to the hospital or
3:42
to their physician with portal hypertension
3:44
or signs of portal hypertension and the etiology
3:47
unknown, and assessing hepatic fibrosis would be
3:50
helpful to assess whether or not cirrhosis
3:52
is the cause of their portal hypertension.
3:54
And then finally, a more commonly used
3:57
application is to monitor hepatic fibrosis
4:00
in response to various treatments.
4:02
Whether they're receiving treatments for
4:03
their hepatitis, or if they're on certain
4:07
chemotherapy agents that may induce fibrosis.
4:11
Now, I'm sure many of you have been asked to perform
4:15
core biopsies of the liver to assist in this process.
4:18
At our institution, we use a
4:20
percutaneous core biopsy device.
4:22
We use 18 gauges.
4:23
You may use larger gauge
4:25
core needles.
4:25
We typically only do a single core for grading.
4:28
You may do more.
4:30
The pathologist is gonna receive that core, and they're
4:32
gonna grade it based on those elements of fibrosis
4:34
that I previously described present in the core.
4:36
Now, the limitations are gonna include under-
4:39
sampling, as in you didn't get enough of
4:41
the elements to get them the correct stage.
4:44
Inter-observer variability.
4:46
One pathologist mild to moderate, maybe
4:48
another pathologist moderate to severe.
4:50
And then the heterogeneous distribution of fibrosis.
4:53
Fibrosis doesn't occur homogeneously
4:55
all at once throughout the liver.
4:56
It is an evolving process, and so you may
4:58
sample a part of the liver that has a different
5:01
stage of fibrosis than the maximum stage
5:02
actually present. Complications of, uh, invasive biopsy
5:07
include bleeding and pain, and I'm sure as many of
5:11
you have experienced, your patients don't like the
5:13
idea of having needles going into them and sampling
5:17
their body.
5:17
It's a very, uh, anxiety-provoking procedure.
5:21
So if we could get away with doing non-invasive
5:23
scoring, I'm sure patients would prefer it.
5:25
Unfortunately, we can't.
5:27
The two primary methods that we use are MRI
5:29
elastography and ultrasound elastography.
5:32
Some of the pros of MRI elastography, which
5:34
I'm not gonna go into further detail, are
5:37
that with our protocols, we're able to assess
5:39
the hepatic fibrosis, the degree of steatosis,
5:42
and if there's evidence of iron overload.
5:44
The downside of our protocol is if there
5:46
is iron overload, it actually makes
5:48
the fibrosis portion uninterpretable.
5:50
It has a very high agreement with biopsy
5:52
fibrosis grades, which again would make the
5:55
biopsies less needed in the workup.
6:00
Because our MRI is expensive as it is, it uses
6:03
a lot of time, and elastography specifically
6:06
needs special MRI elastography equipment.
6:08
It needs an external pulse generator to generate
6:11
elastography pulses that can then be measured.
6:14
Ultrasound elastography, on the other hand, also can
6:17
evaluate fibrosis and to a lesser extent steatosis, although it's
6:20
less agreed upon compared to MRI. It can assess
6:24
the portal vein velocity and direction, which is a
6:26
helpful marker in assessing for portal hypertension.
6:30
It's very inexpensive compared to
6:31
MRI and much more readily available.
6:34
For example, your patient who is bedbound
6:37
in the ICU, you can take this elastography,
6:39
the ultrasound machine, to the bedside where
6:41
they couldn't go bedside with MRI.
6:44
Similarly, you would be able to do patients who have
6:46
contraindications to MRI using ultrasound elastography.
6:50
Cons include it's operator dependent,
6:53
so whether your technologist or you
6:54
are not comfortable or familiar with
6:57
using ultrasound elastography
6:58
may lead to inaccurate results.
7:00
Similarly, there have been studies that show
7:02
that ultrasound elastography may overestimate
7:04
fibrosis in patients who have elevated liver
7:07
function tests, who aren't fasting, or have
7:11
hepatic congestion, which you might see in
7:13
volume overload or right heart dysfunction.
7:15
Now, this wasn't something that I
7:17
appreciated until really diving into
7:19
making this presentation, but there are
7:22
stiffness scores reported for MRI elastography
7:24
and there are stiffness scores reported for
7:26
ultrasound elastography, and they're different.
7:28
But it turns out the reason why is they're
7:30
using different estimates for the stiffness.
7:33
MR elastography is gonna use a shear modulus,
7:36
whereas ultrasound elastography is gonna use
7:37
a Young's modulus, and they are convertible.
7:40
So your MR stiffness scores are gonna be
7:42
typically a third less than what you
7:44
would measure on ultrasound elastography.
7:47
So what is elastography?
7:49
Ultimately, what elastography is, is you're applying a
7:52
vibration and you're going to distort a target tissue.
7:55
In this case, for hepatic fibrosis,
7:57
we're gonna distort the liver.
7:59
Other tissues can be and have been used—
8:01
thyroid nodules, breast tissue, the spleen,
8:05
if you are working up portal
8:06
hypertension, which we do not do here.
8:10
But you distort the tissue.
8:11
You can either distort it using external vibrations,
8:14
and those start at the surface of the skin.
8:15
We see that with MRI, as well as some forms of
8:18
elastography, but we also have a method using
8:21
acoustic radiation force impulse, which I'm
8:24
gonna refer to here on out as ARFI, and those
8:27
will actually start inside the target tissue.
8:29
We then observe the changes to the
8:31
distorted tissue, and we're gonna measure
8:33
shear wave velocity in the target tissue.
8:35
For ultrasound, we're gonna convert that
8:37
measured shear wave velocity, which is measured
8:39
in meters per second, to liver stiffness, which
8:41
is measured in kilopascals using the modulus.
8:45
So what evidence is there for elastography?
8:47
There's been a lot of evidence over the last 10 years.
8:50
These are just two example
8:51
papers and their conclusions.
8:53
The first paper by Oli et al., published in
8:56
2014, talks about using shear wave ELA as a
9:00
reproducible method for assessing liver stiffness,
9:02
comparable to an older form.
9:04
And compared to patients who didn't
9:08
have significant fibrosis and healthy volunteers,
9:11
the values were significantly different.
9:14
An additional paper published in 2014 showed that
9:17
2D shear wave elastography, FibroScan (which is
9:21
another form of elastography), and ARFI (which is
9:25
another form of shear wave elastography) all
9:27
correlated significantly with the fibrosis
9:29
score, with 2D shear wave elastography
9:31
performing the best based on its R value.
9:35
So what ultrasound elastography
9:37
techniques are currently in use?
9:39
Well, we'll talk about two major techniques
9:41
and then dive into the second one.
9:43
The first one is transient elastography.
9:45
The second one is shear wave elastography,
9:47
and that can be subdivided into point
9:49
quantification shear wave elastography,
9:51
and two-dimensional shear wave elastography.
9:54
All three methods are gonna use the Young’s modulus
9:57
to convert that measured velocity and stiffness.
9:59
So how does that work?
10:00
Well, the velocity is measured, it's squared.
10:04
It's gonna be multiplied by the density of the tissue.
10:08
For our purposes, we're gonna
10:09
assume it's one gram per milliliter.
10:11
Then you take that, multiply by
10:13
three, and you get a density.
10:15
And so for all purposes, the shear velocity
10:19
and the liver stiffness are interchangeable.
10:24
The FibroScan (the brand name) uses an
10:27
external vibrating source, so they have a
10:30
five megahertz probe, and it's mounted with
10:32
a vibrating source, which is gonna generate
10:34
elastic shear waves on the skin surface.
10:37
Then you are able to measure shear wave
10:39
velocities in the tissues deep to it, and it's
10:42
gonna be related to the tissue stiffness—higher
10:44
the velocity, the more stiffness. Shear wave
10:47
elastography is gonna use those ARFI pulses
10:50
generated by the ultrasound probe itself.
10:52
And then the speed of the pulse in the measured
10:54
tissue is also gonna be related to tissue stiffness.
10:56
So both methods can be used to generate liver
11:00
stiffness or stiffness of other tissues.
11:03
So a little bit more on FibroScan
11:04
or transient elastography.
11:07
The ultrasound probe is gonna be placed
11:08
over the portion of the right upper
11:10
quadrant that is dull to percussion.
11:12
And the theory here is the dull to
11:14
percussion is gonna be the part of the
11:16
liver with the most hepatic parenchyma.
11:18
And the reason why is these machines
11:20
don't obtain grayscale images.
11:23
You are only getting a shear wave propagation.
11:26
The machine's gonna automatically take 10
11:27
measurements, and it's only gonna report the
11:29
data if it's able to deem it internally valid.
11:32
So either the machine's gonna have output or it
11:34
won't. You won't really be able to troubleshoot it.
11:38
It is a dedicated machine, so you're not able to just
11:41
convert one of your preexisting ultrasound machines.
11:44
Because it's a dedicated machine and it's
11:46
pretty simple to use, it can be used in
11:47
outpatient settings by non-radiologists, and
11:49
commonly you'll see hepatologists performing
11:51
this in their outpatient setting, and then
11:54
they'll have a formal referral to you.
11:56
In radiology, it cannot be used with patients who
11:58
have ascites because the ascites will interfere
12:00
with the measurements, and it doesn't provide any
12:02
other diagnostic information because you don't
12:04
have grayscale or color Doppler capabilities.
12:08
For visualization, this is what a FibroScan
12:10
looks like, and on the right you have two
12:13
examples of the output of the FibroScan.
12:15
The top image showing a liver
12:17
stiffness of three kilopascals.
12:19
The lower showing 40 kilopascals,
12:21
which I'm assuming is just experimental
12:22
because that would be a very stiff liver.
12:26
Point
12:27
quantification shear wave
12:28
elastography is going to use those ARFI...
12:31
301 00:12:32,880 --> 00:12:36,300 ARFI pulses and to generate shear waves in
12:36
a small ROI within the target tissue, you're
12:39
able to use B-mode imaging to visualize
12:43
the liver during these measurements.
12:45
And then the shear wave velocity can then be
12:47
calculated at different locations using this method.
12:50
So this kind of gets over the under-
12:53
sampling of a core biopsy because you
12:55
can take samples throughout the liver.
12:57
In addition, by using B-mode imaging,
12:59
you can ensure where you're measuring—
13:01
hepatic—and it doesn't include bile
13:04
ducts or portal venous vasculature,
13:08
which could change your measurements.
13:14
The other useful
13:15
thing with using this technique
13:17
is that you can get other
13:18
diagnostic information because you still have
13:21
grayscale, color Doppler, and duplex information.
13:24
And that means that you can do this as an
13:26
add-on to your standard liver ultrasound or
13:29
your standard right upper quadrant ultrasound.
13:33
Two-dimensional shear wave elastography is a newer
13:36
method, and it is actually now our preferred method
13:40
of ultrasound elastography here at Johns Hopkins.
13:42
And the previous reference a few slides ago showed
13:46
that it had the highest agreement with tissue samples.
13:50
Multiple ARFI pulses are gonna be sent out over
13:54
a large scale of view, and then you're gonna
13:56
get shear wave velocities over multiple areas.
14:01
You're able to get real-time measurements, and
14:02
you can assess the fibrosis of the tissue in real
14:06
time using a color scale during the scan itself.
14:09
Similarly, you're able to generate confidence
14:11
maps, and so the way that I tell the
14:15
residents and fellows to differentiate
14:17
using 2D versus conventional shear wave elastography,
14:22
pSWE is that 2D is gonna have two circles—
14:26
one with a confidence map and one with the
14:29
actual shear wave velocity—and it's gonna be
14:31
in color, whereas the other will be grayscale.
14:34
And like peak or point quantification
14:39
shear wave elastography,
14:39
it can also be performed at different
14:41
parts of the liver and can be an
14:42
add-on to standard liver ultrasound.
14:46
So what is our technique?
14:49
The patient is
14:51
NPO for at least six hours, and that decreases the
14:54
amount of bowel gas, as well as reducing the
14:57
incidence of overestimation. Preferably, do this
15:00
in an AM study. One reason is it's easier to do
15:04
the study if the patient's been fasting overnight
15:06
than fasting all day because they're cranky.
15:09
The patient should be supine
15:11
or in left lateral decubitus.
15:13
The patient's right arm should be extended.
15:15
We use a C5-1 transducer, and
15:17
we'll use a tissue-specific preset.
15:21
Place the transducer parallel to the rib space.
15:24
We're gonna make sure that we're over the
15:25
liver and we're gonna optimize the 2D image.
15:28
Then we're gonna set cine loops for about six
15:30
seconds and launch the elastography module.
15:34
So whatever company you're using, they're
15:36
gonna have their own proprietary module,
15:37
and you wanna make sure that you have
15:40
adequate training in that specific module.
15:44
You typically are gonna be targeting
15:46
the right intercostal space and
15:48
seeing liver segment seven or eight.
15:51
You wanna keep the liver capsule parallel to the
15:53
transducer surface, and you're gonna place an ROI
15:57
in the center of the image that's about one and a
15:59
half to two centimeters deep from the liver capsule.
16:02
You don't wanna place near a rib shadow,
16:03
you don't wanna place on the capsule, and you
16:05
don't wanna place on non-hepatic structures.
16:08
You'll ask the patient, or your technologist will
16:09
ask the patient, to pause their breathing while
16:12
acquiring the clips—meaning suspend respiration.
16:15
Don't take a deep breath,
16:16
'cause if they take a deep breath,
16:17
the liver may go out of plane.
16:18
And then finally acquire the cine loops.
16:22
With those cine loops, you're then able
16:24
to review them, place measurements, and if
16:28
you have at least three frames of stable
16:31
tissue with high confidence based on the
16:35
confidence map—no rib shadows, no vessels—
16:37
those will be adequate
16:40
measurements to then acquire.
16:43
We generally don't require more
16:44
than two measurements per loop.
16:45
So we'll change our position and we'll obtain 10
16:48
valid measurements as needed, and then we print
16:51
the report. The radiologist will then interpret.
16:56
So this is something I get a lot of
16:57
questions on—for people who don't
16:59
regularly report elastography findings—
17:03
it's just kind of thinking through
17:06
what the different numbers mean.
17:08
You're gonna be given a whole slew
17:10
of numbers with newer machines.
17:11
Median stiffness or median stiffness,
17:15
average stiffness, median velocity, average
17:18
velocity, and IQR, uh, standard deviation.
17:23
And it can be a little overwhelming if
17:25
you're, if you're not just breaking it down.
17:28
The median stiffness or velocity is what
17:30
ultimately we're gonna use to grade the fibrosis.
17:32
And the IQR, the interquartile
17:36
range, describes the spread of measurements.
17:40
We use the interquartile range over the
17:42
median, which can be either stiffness or
17:45
velocity, and that's gonna validate the data.
17:48
If the ratio of the IQR over median is less than 30%,
17:52
if using stiffness, or 15% using velocity, then it's
17:56
deemed quality data and it should be considered
17:59
valid. If the ratio is greater than 30% or 50%,
18:04
velocity,
18:05
remember, the Young modulus has a square
18:08
and then, um, it has a times three, so the
18:13
velocity should be lower than the stiffness.
18:17
The data is considered poor quality.
18:19
However, in the 2015 SRU guidelines, they
18:21
did make a note that the data may still
18:25
be usable if the data obtained is normal
18:28
or low-grade fibrosis based on earlier
18:31
studies using the FibroScan technique,
18:34
which was the older technique that we,
18:36
uh, would use in the hepatology use.
18:38
So I would still report that the data's poor
18:41
quality, but it may still be usable if it's fibrosis.
18:44
But if it's not fibrosis, I would just
18:46
state that the data's poor quality, and
18:50
this is just a visualization of
18:51
what a interquartile range is.
18:54
It's kind of a 50%, 25% below, 25% above the median.
19:00
Um.
19:01
It's just a statistical technique.
19:02
There's nothing special about it.
19:04
You could, uh, manually calculate it if you had to.
19:08
Uh, fortunately, the newer machines
19:10
will actually, um, calculate the
19:12
value for you based on the measurements obtained.
19:17
In 2015, the SRU and a few other organizations
19:21
came with consensus reporting for
19:24
elastography measurements using ultrasound.
19:27
And it was a little confusing
19:28
because it was vendor dependent.
19:30
It was
19:31
method dependent.
19:32
Um, sometimes you weren't sure which vendor you
19:35
were using, so you weren't sure which cutoff to use.
19:38
Uh, the good news is it's been simplified,
19:41
but for historical accuracy, Siemens,
19:46
uh, it used to be less than 1.34 meters per
19:49
second and greater than 2.2 meters per second.
19:53
Philips would be less than 1.37 meters per second,
19:56
or greater than 2.2 meters per second.
19:58
And then using Supersonic Imagine, which is
20:01
the 2D shear wave elastography technique
20:04
available, it was less than 1.5 meters per
20:07
second or greater than 2.2 meters per second.
20:09
So all three agreed:
20:10
If you had a shear wave velocity
20:12
greater than 2.2 meters per second,
20:15
you either had stage four METAVIR, which
20:19
is cirrhosis, or some stages of three,
20:21
which would be advanced fibrosis.
20:22
Whereas if you had the lower end of the
20:25
velocities, then you had, you might have fibrosis,
20:28
but it wasn't deemed clinically significant.
20:31
And then if you were in between, we would describe
20:34
that you would have an intermediate grade of fibrosis,
20:38
and that further workup may be needed
20:39
to determine the actual degree.
20:42
Um, but the good news is,
20:45
as of last month, there was a new consensus—an
20:48
update to the consensus—published in Radiology, and
20:51
it simplified it a little bit, but it also took away
20:54
the correlation with actual pathology grading and gave
21:00
more of a holistic description of what's going on.
21:05
And so it's vendor neutral.
21:06
It's only applicable for, uh, shear
21:09
wave elastography using ARFI pulses.
21:13
And it's really only applicable for patients who have
21:15
viral hepatitis and non-alcoholic fatty liver disease.
21:19
And so now you have some, uh, new numbers
21:22
to think about. If you measure less than five
21:25
kilopascals or 1.3 meters per second—
21:28
and you'll notice that this has both
21:30
stiffness and the shear wave velocity—
21:32
and that's because we've started to
21:34
use shear wave velocity less, and
21:35
actually report the stiffness itself.
21:38
So what you would wanna report is that
21:40
it's a high probability of being normal.
21:42
It's less than nine kilopascals
21:44
or 1.7 meters per second.
21:47
In the absence of other clinical signs, it's gonna
21:49
rule out compensated advanced chronic liver disease.
21:52
But if there are signs—portal hypertension—they
21:54
may need further tests for confirmation and biopsy.
21:59
If the liver stiffness range is between nine and 13
22:02
kilopascals, or 1.7 to 2.1 meters per second,
22:05
and you'll notice all of these, um, are related.
22:08
And that's again through the modulus formula.
22:11
If you get that range, it's suggestive of
22:14
compensated advanced chronic liver disease, but
22:17
you would need a further test for confirmation.
22:19
Generally that means biopsy. If the
22:21
liver stiffness is greater than 13
22:24
kilopascals, or 2.1 meters per second,
22:27
that rules in compensated
22:29
advanced chronic liver disease.
22:30
And if you—we'll just go back a slide—
22:32
if you see that 2.1, that 2.1 is below
22:36
the previous 2.2, uh, recommendation.
22:39
So more patients are gonna
22:41
get a diagnosis of compensated
22:43
advanced chronic liver disease.
22:45
And then finally, if you get a liver stiffness
22:47
rate of at 17 kilopascals or 2.4 meters per
22:50
second for a velocity, it's suggestive of
22:55
clinically significant portal hypertension.
22:57
So not only do they have advanced
22:59
fibrosis, but they likely have cirrhosis
23:01
and a result in portal hypertension.
23:04
These numbers are for viral hepatitis
23:08
and non-alcoholic fatty liver disease.
23:10
And if you are reporting this, it's important
23:12
to put a disclaimer that in other causes of
23:15
fibrosis, these numbers are not validated,
23:17
and so the clinician may have to pursue
23:20
biopsy to actually grade the fibrosis.
23:25
So let's go
23:27
over a few cases.
23:28
Our first case, and this was from several years
23:31
ago, was abdominal pain, history of alcohol abuse.
23:37
So here you have a grayscale image.
23:39
You have an ROI, looks like a hepatic lobe.
23:43
You have a rectangular ROI, no color in it.
23:46
So this is probably gonna be the
23:48
older form of pure elastography.
23:52
And we see a measurement of 1.16, standard
23:55
deviation 0.08 meters per second.
23:58
So that's pretty good.
23:59
You don't see any bile ducts in there, you don't
24:01
see any, uh, portal or any hepatic vasculature.
24:05
So this looks pretty good in terms of measurement.
24:08
So technologists took 10 measurements.
24:11
The average stiffness was 1.08.
24:14
The median stiffness was 1.0.
24:17
You'll note that there is no reporting
24:19
of, uh, the actual kilopascal stiffness.
24:23
It's just the shear wave velocity.
24:25
And that's because the older package.
24:28
And so this is how we reported it.
24:30
The elastography measurements are as follows.
24:33
And this was—I actually manually calculated this.
24:35
The interquartile range is 0.40 meters per second.
24:40
The median velocity is 1.0 meters per
24:42
second, so the IQR over median is 40%.
24:45
So you would have to state that this is indicating
24:47
poor quality dataset for clinical interpretation.
24:50
And again, I put the disclaimer that the IQR
24:55
does not necessarily affect the accuracy if
24:57
the stiffness is less than 7.1 kilo—
25:03
and so the interpretation here would be
25:04
that this is a high probability of being
25:06
normal
25:07
with the 2020 guidelines.
25:11
Alright, case two.
25:13
Indication: elevated liver
25:15
enzymes; evaluate for cirrhosis.
25:16
Patient has a history of alcohol abuse.
25:20
Again, grayscale image, rectangle over
25:23
what looks to be the right hepatic lobe.
25:25
You don't see any vessels in it.
25:27
You don't see any, um, bile ducts, so
25:30
you're confident you're in the right spot.
25:32
You're gonna get good measurements, and even with
25:35
this grayscale image, you can kind of appreciate
25:37
how coarse in the echo texture is of the liver,
25:42
which is a marker of hepatic fibrosis by itself.
25:46
So we take a couple measurements: 2.43, 2.46, 3.08.
25:54
We get a median stiffness of
25:56
2.5, average stiffness of 2.54.
26:00
Going then to the reporting, our IQR
26:04
manually calculates to 0.42 meters per second.
26:08
Our median is 2.5 meters per second.
26:12
The IQR over median is 5%.
26:14
So this is indicating a quality data set for...
26:21
Velocity higher than 2.4 meters per second.
26:24
In the 2015 guidelines, it's higher than, um,
26:28
2.3 meters per second in the 2020 guidelines.
26:32
So this is suggestive of clinically
26:33
significant portal hypertension.
26:37
Case three.
40:40
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