Interactive Transcript
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Hello, and welcome to Noon Conference hosted by Medality.
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Noon Conference connects the global radiology community through free live
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educational webinars that are accessible for all and is an opportunity to learn
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alongside top radiologists from around the world.
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Today, we're honored to welcome Dr.
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Khalid Gad for a lecture entitled "MRS in Practice: Do It
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Right, Read It Right, Use It Right."
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Dr. Gad serves as the clinical lead of functional and advanced neuroimaging at Ibn
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Sina Neuro Specialty Hospital in Kuwait.
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He has gained extensive international exposure in neuroimaging, including a
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neuroradiology fellowship at Johns Hopkins and a master's degree in advanced
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neuroimaging from University College London.
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He remains academically active and engaged in teaching, supported by qualifications
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that include the FRCR and a master's in health professions education from
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Maastricht University. At the end of the lecture, please join Dr.
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Gad in a Q&A session where he will address questions you may have on today's topic.
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Please remember to use the Q&A feature to submit your questions so we can get to as
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many as we can before our time is up.
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With that, we are ready to begin today's lecture. Dr.
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Gad, please take it from here.
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Well, thank you very much. Hello, everyone, and thanks Medality for
1:11
having me today, delivering a talk on MR spectroscopy,
1:15
which is a very valuable technique in neuroimaging.
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However, in my daily practice, I often
1:24
hear some sort of skepticism regarding
1:27
the clinical utility of the technique.
1:30
Maybe due to unfamiliarity sometimes or maybe due to concerns
1:33
about the quality of the technique, which has some
1:37
limitations or challenges, and also variability among different sites or
1:41
even among different patients or cases.
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So yes. So I totally understand these limitations or challenges, but
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I very much understand that there are three main key factors
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that can make MR spectroscopy easy to interpret.
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Ensuring technical quality and to learn how to read the
2:01
peaks very well,
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and also to know when to use MRS under appropriate
2:07
clinical context and conditions.
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And this is going to be the framework of my talk today.
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Let's start with ensuring technical quality.
2:15
Very fresh,
2:17
very basic background here.
2:20
MRS is basically two types, single-voxel versus
2:23
multi-voxel spectroscopy, where single voxel uses
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one
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voxel
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that is placed over the lesion or the tissue and gives you a good
2:34
SNR,
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but with limited spatial information, of course.
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Compared to multi-voxel spectroscopy, where you have a grid
2:43
of voxels placed over the tissue or over the lesion, and of course, you
2:47
get much better spatial information by these spatial
2:51
encoding steps, either in 2D or 3D, but at the expense of the SNR,
2:55
which is relatively limited with multi-voxel spectroscopy.
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And this is what we call chemical shift imaging
3:03
or MRS imaging, where results can be represented by
3:07
either single spectra related to every single voxel
3:10
or a spectral map, with all voxels can be seen at the
3:14
same time, or metabolite images, where you can color code
3:18
those different metabolites or sometimes the ratios between metabolites.
3:23
Well, so how do we acquire
3:26
the MRS scan? So basically, and everybody knows that there are
3:30
two basic MRS sequence designs. One of them is the
3:34
PRESS, and the other one is called STEEM.
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And it's basically the way the order of sequences and the
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pulse design here. The bottom line is that you have a
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90-degree excitation pulse, and you have either three
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90 degrees pulses, radio frequency pulses, or you have one
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excitation pulses, then followed by two 180 refocusing
3:57
pulses. So the timing intervals between those pulses
4:01
and the
4:03
design of these radio frequency pulses is the core
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difference between both the PRESS and the STEEM. So what is PRESS?
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So PRESS or point resolve spectroscopy
4:14
is the most popular in clinical work.
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So it's the popular sequence design in our daily practice, and it gives
4:22
you powerful SNR. SNR is usually double for
4:26
the SNR as compared to the other sequence design, which
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is the STEEM or stimulated echo acquisition mode.
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That is not frequently used in our clinical work.
4:35
So it's basically used in research studies.
4:39
And it gives you a smaller SNR, almost
4:42
50% less than PRESS, but at the same time, it can enable you to
4:46
do very short TEs under 20
4:49
milliseconds. The third type, and it's most widely adopted in
4:54
3T systems nowadays, is the SEMI laser
4:57
spectroscopy. And the SEMI laser
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spectroscopy is the best
5:05
choice for
5:07
the best spatial localization. So it gives you much better spatial
5:11
localization in less scan time that ends up having
5:15
lower SAR, of course.
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And then we'll talk today about the spectral editing techniques very briefly.
5:21
And most popular technique used is called MEGA PRESS,
5:25
where it uses selective spectral
5:30
pulses to disrupt the natural evolution of unique
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metabolites. So it can give you opportunity to see metabolites that we
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haven't been able to do in the past, and we'll talk about this
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shortly or briefly todaySo the
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question that always comes from my techs, and I always encourage my residents and
5:49
fellows to do that, to be reachable during the MRI scan, to be
5:52
approachable to the techs. And the reason is that there are some
5:56
MRI parameters that require the neuroradiologist to be
6:00
available and give your input. And these
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parameters, the three main parameters are either the voxel, the
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voxel itself, the placement of the voxel, and of course the voxel size, or
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the number of excitations, and also the TE.
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So remember these three factors very well.
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So why voxel size is important? Because it is
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proportional to the SNR. And it's
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straightforward. So whenever you want to increase your SNR by double-fold,
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you simply increase your voxel size by a factor of two.
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And this is the best strategy and most effective strategy to get a good
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SNR. But the challenges are always that you don't
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want your voxel to be contaminated by unnecessary
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voxels or tissues around, like normal brain tissue, for example.
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You need to focus on the lesion. And sometimes you need to avoid other adjacent
6:52
tissues, such as the skull, for example, to avoid fat and to avoid
6:56
susceptibility. Maybe if the lesion is close to the CSF, you need also to avoid
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that because you'll get much more water into your
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voxel, which you need to avoid, and even CSF has also some
7:08
higher concentrations of lactate, which is, again...
7:11
So the bottom line is that make your voxel size the maximum,
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but without being contaminated from unnecessary tissues.
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So if you can't go by large size, then the
7:23
other strategy you can use also is to increase your
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number of excitations, which will also increase your SNR here.
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But the thing is, the issue is the SNR is
7:35
proportional not to the number of excitations, but to the square root of the number
7:39
of excitations. Which means that
7:42
if you want to increase your SNR
7:45
two times, you need to increase the number of excitations by a factor of
7:49
four.
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And of course, the price will be the scan time.
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You get less tolerance from the patients, more motion artifacts.
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You will affect the workflow of your cases, and so on.
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So this is not the best strategy. The best strategy is always to increase your
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voxel size, as long as you keep it away from
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other unnecessary tissues around. So what about the TE?
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So we basically use three TEs in clinical MRIs, either short
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TE, and
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short reminds me with so many peaks.
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So you get so many peaks when you do short TE.
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But when you do long TE, you get less peaks.
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And if you use intermediate TE, you basically
8:32
invert your peaks. So some peaks can get inverted with
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the use of intermediate TE. And you can see here how
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short TE can increase the number of peaks, but also
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can get some sort of distortion at the baseline.
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So you will end up having much more peaks.
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Some of them are true and others also just represent noise.
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While using intermediate or long TE, you will remove the
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noise, you will get better SNR, especially with intermediate TE,
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you will get better SNR compared to long TE.
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But intermediate TE, the best advantage or the most
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popular use of intermediate TE is to invert some peaks, as in this case,
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where you can see the lactate here resonates at 1.3 ppm in long
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TE, but intermediate TE, it will invert,
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giving you more confidence saying that this is lactate.
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So what else do you need to consider when it comes to the quality of the
9:30
spectrum? You need to consider whether you use 3 Tesla or
9:34
1.5. Of course, 3 Tesla is better than 1.5 Tesla.
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And the reason is not just simply because of the SNR, but
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imagine that when you do a 3 Tesla, you stretch your
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baseline by a factor of two. So you double your
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baseline
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spectral quality. So any
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overlapping peaks or those tiny peaks here that you
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can't visibly recognize
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using 1.5 Tesla will be easy to recognize and will be stretched
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apart from each other using 3 Tesla, and this is the most
10:08
important use of 3 Tesla.
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The other thing, of course, is magnetic inhomogeneity, which is controlled by
10:15
shimming, and most of our machines today do automatic shimming
10:20
to control the quality and the bandwidth of your peaks,
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and then doing water and sometimes fat suppression is
10:27
critical before doing spectroscopy because water is abundant in the
10:31
brain tissue. So once you suppress water by using CHESS or
10:35
some sort of a frequency selective pulse, you make
10:39
everything else visible by 100 times.
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So it's very important to suppress water, but it's also very important to
10:46
avoid water. So imagine that this is the message I
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want to deliver here. It's important to suppress water, but it's more important
10:54
to avoid water in your voxel. So what we do is
10:58
basically, we suppress outer volume by applying our
11:02
sequences. So once we suppress the outer volumes
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by using these sequence designs and different
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gradients, we end up having the voxel
11:13
clean and not contaminated by other tissues.
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And when we do, like in this example, if you do multi-voxel
11:20
spectroscopy, we can use what we call saturation bands at different
11:24
planes to suppress all the voxels around
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the lesion, not in the brain, but basically, we need to suppress
11:32
the skull here and also the air outside, so you end up having
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a clean spectrum here with outer volume suppression compared to this
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part of the image where no outer volume suppression is
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used.Well, so there are some metabolites that I call
11:46
troublemakers or unwanted guests that you need to avoid in your voxel.
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So maybe air, if your voxel is close to the maxillary
11:55
sinus, for example, or the skull base or the mastoid air cells, this is a
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source of susceptibility, and you need to always to avoid that.
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CSF, as I mentioned before, because of the water and because of also the higher
12:06
concentration of lactate. Bone, of course, because of susceptibility and lipid.
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Blood, calcium. So all these guests are unwanted in your voxels
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and this
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is why your voxel size is always challenged by all
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these tissues. What about gadolinium?
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There
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used to be some sort of debate because basically and theoretically,
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gadolinium may affect the spectrum by causing some
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broadening of the peaks and reducing the SNR relatively.
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But in practice, what we see and what many experts
12:39
also see is that the effect is not major.
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So the difference is very tiny. Which means that yes,
12:47
it's better to do your MRS without giving contrast or pre-contrast, but
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sometimes you cannot do that because you can't see the lesion.
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You need to see the lesion first. You need to differentiate the lesion from the
12:57
cystic part or from the necrotic areas.
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You need to differentiate the lesion from the edema around it.
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So sometimes it's impossible, so you have to give contrast first.
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And in these cases, I would say that if and only if you
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can postpone the MRS to make a gap
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or a lag for 10 to 15 minutes after giving gadolinium, this
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would give you the best results. But again,
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that doesn't need to overwhelm you.
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So if you have nothing to do other
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than doing spectroscopy just after giving contrast,
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you would expect a good result as well, and the difference is not
13:35
major. Well, let's move to the next key
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factor. The next key factor is to learn how to read the peaks.
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Reading MRS, for me, it looks like
13:47
looking at a silhouette of a city, looking at a city silhouette
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of one of the cities you've visited before.
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So if you've visited one of these cities before, it will be very easy for
13:56
you to recognize what is that city just by
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looking at the silhouette of the city.
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Of course, the one here in the top right corner of the image
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is New York, just by looking at the silhouette.
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And experts do the same thing. They look at spectroscopy, and they can
14:15
just figure out what's happening here. Is this a benign lesion?
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Is this an neoplastic process? This is what they do.
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But today, we need to learn as beginners, because I assume that
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many of the audience today
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are beginners, so we need to learn as beginners how to read
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spectroscopy. Let's start by this.
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Is this a short or long TE? You can see less peaks,
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less numbers of peaks. You have only three peaks visible, so it's most
14:42
likely a long TE,
14:45
not short TE. So my way, my strategy reading
14:48
spectroscopy, I always use the number two because this is my
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magic number. How is that possible?
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Let's use two and start at the scale of the ppm here
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at number two, and this is where you expect to see
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the highest peak. This is NAA, the peak that
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has two As, which is NAA. Then
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move to the left side of this peak.
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You will find two other peaks, and they both have
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the letter C, so you'll have two Cs because they represent two other
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peaks. One is choline, and the other one is creatine.
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And then move to the other side of this large peak and make sure
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that you don't have this two top peak, which is
15:34
called lactate on the right side of the image here.
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So this is my magic two number, and this is the way I
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start reading spectroscopy. Start at two, you'll find
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this NAA that has two As, and then go to the other
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side here, you'll see two peaks. One is choline, and the other one is
15:53
creatine. And then move to the left side or the right side and make sure that you
15:57
don't have this two top peak that
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represents lactate. So this was long
16:04
TE, the clean one, the simple one. What about
16:08
short TE that has many peaks? I will always
16:11
begin with the same strategy. I will look at the three major
16:15
peaks here. I'll start at two, finding the NAA, then
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go to this side, looking at choline and creatine, and then
16:23
move to the far left side of the image because this peak
16:27
here usually represents another creatine peak other than this
16:31
one. This is the main creatine peak, and this is the other creatine peak.
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So I will always start here because I will need this
16:38
creatine to complete the rest of my exercise.
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Well, then I will split the spectrum into three zones.
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Zone number one, where I should look for my inositol and
16:51
other peaks, such as glycine and taurine.
16:54
And then zone number two, where
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GLX, which is glutamine and glutamate, and other amino
17:01
acids are usually found. And then zone number three,
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remember, lactate lives here, but lipid also is here,
17:09
and alanine and some amino acids as well.
17:12
So this is the three-zone approach that I used following
17:16
the three-peak approach using the number T or
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the magic number T. And this is the way I read spectroscopy
17:23
as a beginner.
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There's one piece of information that is critically important.
17:30
You remember that we mentioned that lactate inverts on TE, but it's not
17:33
only lactate. There are many metabolites that can invert
17:37
on intermediate TE or depending on
17:41
the TE value. And for example, my
17:45
inositol can invert in zone one using a shorter TE
17:49
even than the one that we use for intermediate TE in clinical practice.
17:53
But most importantly, and remember this very wellIt is
17:56
smaller. So the peak gets smaller when you use intermediate
18:01
TE, the clinical intermediate TE that we use every day.
18:05
In zone number two, both glutamate and glutamine can invert, and in
18:09
zone number three, as I mentioned, lactate can invert,
18:12
but also alanine can do the same thing.
18:17
Well, so what about ratios, integrals, amplitudes,
18:21
and what we call Hunter's angle? Everyone knows what's Hunter angle.
18:24
Hunter angles is this angle between the peaks of choline and
18:28
NAA, and normally you should have it
18:32
like that. So you should have the choline much shorter than
18:36
NAA, because NAA is a neuronal marker, but choline is a cellular
18:41
proliferation marker. So in normal conditions in the brain,
18:45
NAA should be higher than choline.
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But the challenge is here, are you using amplitude or
18:51
integrals? What is the difference?
18:54
When you do shimming, if you have good shimming, you will end up having
18:58
this peak, very narrow bandwidth.
19:01
And in these cases, the amplitude equals the integral.
19:05
The integral is actually the area under the curve.
19:08
But if you have poor shimming as this one coded by yellow here,
19:12
you will end up having a much shorter peak here because of the
19:16
reduced amplitude. However, the area under the curve is the same,
19:20
so the integral is the same, but the amplitude is much lower.
19:25
And this is very confusing. So I would
19:28
suggest that you always use integrals, not
19:31
amplitudes. And if you use amplitude in your clinical practice, you
19:35
should be very careful, and you should
19:38
have some sort of experience reading that.
19:41
And the way you differentiate is by looking at this number.
19:44
Look carefully at this number. This is the peak value,
19:48
quantitative value, but it's actually preceded by the letter I.
19:52
Whenever you see this I, this means that this number represents
19:56
here the integrals. But if it is not present, if you don't see this
20:00
I, that means that this number represents the
20:04
amplitudes, and of course, this is
20:07
actually, you can change this in the settings of the software on your
20:11
scanner. So my piece of advice here
20:15
is, it's better to use integrals than amplitudes while
20:19
reading the spectrum.
20:21
One more thing to consider, and very importantly, there are some
20:25
variations related to age, the region, the
20:29
side of the brain, and even the gender.
20:32
So when you look, for example, at the
20:36
NAA here, NAA is lowest
20:40
in the first year of life, and it follows the myelination pattern,
20:44
of course, central to peripheral, inferior to superior, and posterior
20:48
to anterior. However, myo-inositol is
20:51
highest in the first year of life because it
20:55
represents the growth of the brain, the glial proliferation needed by the
20:59
brain at this time, and then it reduces thereafter.
21:02
So there are some variations. Creatine, for example, is higher in the gray
21:06
matter than in the white matter, and it's highest in the
21:09
cerebellum and lowest in the pons.
21:12
So you need to consider these variations before reading or interpreting
21:16
your MRS scale.
21:18
Well, let's move to the third part of my talk today.
21:22
Do you know when to use it under appropriate clinical context
21:26
or clinical scenarios? And let me share with you a couple of clinical scenarios
21:30
in the following slides. The most basic question while
21:34
using MRS: Is this a tumor or not?
21:38
Is this a glioma or not?
21:40
So basically, when we use MRS to identify a tumor,
21:45
the most important metabolite we are looking at is
21:48
choline, and I think everyone knows that.
21:51
So choline is your most important peak here to
21:55
identify a tumor, and you can use ratios between choline and
21:59
NAA or choline and creatine. Both are useful
22:03
to make confidence regarding this diagnosis.
22:07
And there are many ratios, as you can see here, suggested ratios.
22:11
And you know that using ratios is always, you should use it
22:15
with extra care because it's always a combination of sensitivity
22:19
and specificity. So whenever you have a higher ratio
22:23
here, you are more specific, but you are less
22:26
sensitive and
22:28
vice versa.
22:30
NAA also gets reduced because it represents
22:34
neuronal destruction or neuronal loss, which happens with tumor.
22:38
Myo-inositol is one of the metabolites or the peaks that is very
22:42
important to help you make a diagnosis of
22:46
a low-grade glioma, and usually in high-grade tumors, it
22:50
gets reduced. And also there are useful ratios.
22:54
One of the suggested ratio is using a myo-inositol over NAA.
22:58
If it is higher than 0.6 or 0.7, you are more
23:02
confident saying that this is a low-grade glioma, not a
23:06
high-grade one. And finally, lactate is very
23:10
important because it represents necrosis or
23:13
hypoxia, which is one of the hallmarks of
23:16
high-grade tumors, high-grade gliomas, as you can see here.
23:21
Well, this is an example of a pediatric low-grade glioma in a
23:25
patient with epilepsy. And you can see here how the spectrum
23:29
tells you first that choline is high
23:33
here, and NAA is low, so you are probably dealing with a
23:37
neoplastic tumor. But when you look at the short TE
23:41
here, this is a short TE and this one is intermediate TE.
23:44
When you look at short TE, you will look at the myo-inositol and
23:48
find it very high here. So you have now high choline, low
23:52
NAA, and no lactate because using intermediate TE will
23:56
help you identify lactate that should be inverted here.
23:59
So you don't have signs of hypoxia ischemia.
24:01
You have high choline, so it's a sign of cellular proliferation, and
24:05
you have myo-inositol, which is a sign of gliosis or glial
24:09
proliferation, characteristic of low-grade glioma, supported
24:13
by the perfusion map here that shows reduced
24:17
rCBV.What about grade three? It's not easy to
24:20
say grade three just relying on spectroscopy.
24:24
But
24:25
from the pathology perspective,
24:27
you also need to understand that whenever you get
24:31
higher grade
24:33
of the glioma, you will end up having more lactate here because there is
24:37
now evidence, there's an element of ischemia or hypoxia in the tumor.
24:41
The tumor keeps growing, and there's not enough blood supply
24:45
to support this growth. So there should be some sort of an anaerobic metabolism,
24:49
and there should be
24:51
some evidence of ischemia here or tissue hypoxia.
24:54
So we'll see this lactate here at 1.3 PPM.
24:58
Again, you have high choline, you have even lower NAA than the previous
25:01
case. So this is a tumor, and probably the ratio is high,
25:05
so you'll have some clue that this tumor could be a
25:09
high-grade tumor. And you still have myo-inositol.
25:13
But myo-inositol is not very high here, so this is probably
25:17
not a low-grade tumor. So you will use this spectrum to
25:21
support other imaging findings. Remember this very well.
25:24
We do MRS to support other techniques, not to replace other
25:28
techniques. And this is a case of diffuse astrocytoma,
25:32
anaplastic or WHO grade three.
25:35
The grade four astrocytomas or GBM in a case of
25:39
IDH wild type glioma here will have the
25:42
characteristic features of a high-grade aggressive tumor.
25:46
Much elevation of choline, very low NAA or
25:51
destroyed because of the destruction of neurons.
25:53
Look at this voxel here, just in the core of the lesion.
25:56
And you have lactate here that is inverted and has doubled, very
26:00
characteristic at 1.3. And then if you move your
26:04
voxel in this multi-voxel spectroscopy technique, if you move it
26:08
around the lesion or adjacent to the lesion in this area of abnormal signal,
26:12
but not the tumor itself, you will end up having also a similar
26:16
pattern, although less aggressive than this one.
26:20
So this voxel still shows high choline and low NAA, which mean
26:24
that the peri-tumoral zone also is
26:27
pathologic. So you have the positive peri-tumoral zone, which
26:31
differentiates primary high-grade gliomas
26:35
from metastatic lesions because the peri-tumoral zones in
26:39
metastatic lesions
26:41
are always negative.
26:43
So the characteristic signature of GBM or high-grade gliomas
26:47
is the following: elevated choline NAA, elevated
26:51
choline creatine, non-elevation of myo-inositol, but be careful,
26:55
this must be read in short TE. So these
26:59
spectra are actually intermediate.
27:01
Look at the TE, it is 135.
27:04
And here also is 135. So to look for myo-inositol, you should
27:08
look at short TE. And then you have inverted lactate, as you can see
27:13
here, and then you have positive peri-tumoral zone.
27:16
These are characteristic of a GBM or a high-grade
27:20
glioma. And the reason behind the positivity of the
27:23
peri-tumoral zone in these tumors or lesions is the
27:27
fact that in a case of high-grade tumor,
27:30
usually cells around the lesion, they migrate
27:34
from the necrotic core beyond the vascular plate, trying to
27:38
search for blood supply. So these cells
27:42
want more food, want more nutrients.
27:45
So they get out of this border of this zone, and they fill
27:49
up the space here. So although you sometimes see a negative
27:52
imaging appearance of the area around the lesion, it
27:56
is positive histologically, which means that you
28:00
still have malignant cells here, and this is why the peri-tumoral zone is positive
28:04
in high-grade gliomas. Back to the ratios.
28:07
So there are suggested useful ratios in the literature, and you'll find
28:11
many of that. But again, use it at your own risk,
28:16
because
28:17
you will end up having a combination of sensitivity and specificity.
28:21
And I would say that with practice, you will build up your
28:24
own ratios. There is no consensus, full
28:27
consensus on using a single value or a single
28:31
quantitative measure of
28:35
spectroscopy in grading tumors.
28:38
But I think the concept is still clear.
28:41
Where else can we use spectroscopy in the context of a brain tumor?
28:45
To guide biopsy. This is extremely important.
28:48
We usually follow the highest choline voxel.
28:51
We use multi-voxel. We ask our neurosurgeons
28:55
to be with us, and we actually
28:58
do some sort of
29:01
tracing these voxels together, and we guide them, such as in
29:04
this case. They can see the
29:07
most aggressive part or the worst part in terms of elevation of
29:10
choline, the highest choline here, and sometimes the
29:14
presence of lactate as well because it represents necrosis.
29:18
In this case, it's very straightforward because this part of the lesion is
29:22
strongly enhancing. But when you compare it to this case, in
29:26
this case,
29:27
there's a non-enhancing high-grade lesion here.
29:30
So this is a WHO IV IDH mutant astrocytoma, which as you can
29:34
see here is--
29:37
You can barely see some enhancement, minimal, if any,
29:40
enhancement. But when you use spectroscopy, you can identify
29:44
the voxel with the highest grade, because this is important.
29:48
These tumors are
29:50
frequently not simply grade four.
29:53
You'll have a mixture of tissue inside.
29:56
So you'll have grade three, grade four, and maybe grade two as well.
29:59
So you don't want to end up having under-representation of the
30:03
tumor or
30:05
error in the sampling of the tumor giving it a lower
30:09
grade than it truly
30:12
is.So when you look at this voxel, you will see the high choline here start
30:16
at two, and NAA is low here, move to the side.
30:20
There are two peaks here. One of them is choline, is very high, and move to the
30:23
other side, try to find the other peak that has two tops,
30:27
lactate, but it is inverted because this is intermediate
30:31
TE 144. And this is the worst or the most
30:34
aggressive voxel here. And you can correlate it with the ADC that
30:38
has restricted diffusion at this location, and you can even correlate it with
30:42
the rCBV map on this perfusion study that shows you elevation of rCBV
30:46
at the same corresponding location.
30:50
Well, let's look at this case together.
30:52
We have here, let's start at two, very low NAA, move to the
30:56
side, we have two other peaks. One of them is choline, which is pretty
31:00
high. And then move to the other side. Yes, I found it.
31:04
The two doublet here of this peak that is inverted.
31:08
So it should be lactate. High choline, something in the region of
31:11
lactate and very low NAA. It should be a high aggressive, high-grade
31:15
tumor. But actually, it is not,
31:19
because this is actually a meningioma.
31:22
And the reason we see this here, because this is not lactate, this
31:26
is alanine. And alanine,
31:29
it always inverts with meningiomas.
31:32
It always inverts at
31:33
1.448, near 1.5
31:37
ppm,
31:38
with intermediate TE.
31:41
So it is not
31:43
lactate. It's a characteristic feature of
31:47
meningioma. And the reason why you don't see any NAA, because
31:51
the meningioma is big, is huge. So your voxel is not contaminated by any
31:55
brain tissue, and you don't expect to see any neuronal tissue
31:59
in a meningioma, so NAA is not found here.
32:02
But of course, you have choline because in meningioma, you have cellular
32:05
proliferation. But you see this tumor is grade one tumor.
32:09
It's a benign tumor compared to the thought that we had
32:12
before. So the message here or the lesson here is that
32:15
always look carefully at the metabolite peak and make sure
32:19
that it resonates at the expected ppm value.
32:23
If this is lactate, you should find it here at
32:26
1.3, but it's not. It's not lactate because it
32:30
doesn't resonate exactly at the location you expect.
32:34
And if you don't know what is that, just Google it.
32:36
When you Google it, you will end up having a good idea about
32:40
the location of every peak, especially new peaks that you see in your
32:45
spectrum. Another example of this spectra that you have
32:49
a very high choline here. Again, low NAA, you have
32:52
lipid lactate. This is not intermediate TE, so probably this is a
32:56
short TE. And then you have something here.
33:00
This is a new peak. I would expect some myo-inositol here, which is
33:04
remarkably reduced. That's fine. But what is this?
33:07
I don't expect to see this here. And in the setting, of course, you will
33:11
not see this spectra. Nobody will give you the spectra,
33:15
especially in exams, and ask you what is this or what is that lesion.
33:19
You should also be able to see the other imaging techniques.
33:22
And this is what I said, MRS will support
33:25
the diagnosis or will support your thoughts in making
33:29
your differential diagnosis. But when you look at the lesion itself,
33:33
now you know that this is a medulloblastoma. So what is that peak?
33:37
If you look it up, you will know that
33:40
taurine peaks here. Taurine resonates here, and
33:43
taurine is a characteristic marker of medulloblastoma,
33:48
not all molecular subtypes, but actually
33:52
three and four. So it resonates at 3.4,
33:56
and it's found also in molecular subgroups three and
34:00
four, interestingly.
34:02
Well, so what about radiation necrosis?
34:05
So this is actually something that we see every day.
34:08
So the bottom line is lactate will dominate, but with
34:12
also lipids. So lipid lactate will dominate in cases of
34:16
radiation necrosis. You see this patient, this is before treatment,
34:19
and these three images are after treatment.
34:22
And you have the perfusion study here that tells you that
34:25
possibly there's no recurrence, but you have
34:29
ugly-looking enhancement here, suspicious.
34:31
Also in the FLAIR, you have a normal FLAIR signal. But look at the spectroscopy.
34:35
You see here the very high
34:39
lipid lactate elevation here, while all other
34:43
peaks are reduced, are damped down.
34:46
While in the lesion margin, not in the core of the lesion, but even in the
34:50
lesion margin, you still see this peak of lipid lactate,
34:54
and you see some elevation of choline as well, but not
34:57
as
34:59
much as expected in a true recurrence.
35:02
In a true recurrence, the choline-- because this is a
35:06
high-grade lesion, this is an aggressive tumor.
35:08
If you have a true recurrence, you would never end up having this
35:12
slight elevation of choline here.
35:14
So you would expect to see some elevation in choline because of the
35:17
inflammatory response due to radiation-induced or
35:21
treatment-induced changes. So we'd expect to see this, but
35:25
again, at the lesion margin, in the core of the lesion, everything will
35:29
be down except lipid and lactate, which will
35:32
dominate. What about true tumor recurrence?
35:37
High choline must be seen. This is straightforward.
35:41
A case of radiation, radiosurgery after gamma knife treatment,
35:45
and the patient came back with this enhancing lesion surrounded by edema,
35:49
and you see this very high elevation of choline, remarkably
35:53
reduced NAA, and you have a large peak of
35:57
lactate here. Why it's not inverted?
36:00
This is not short TE. Look at the TE here. It's 270.
36:04
So this one is long TE. So you'd never expect lactate to invert
36:08
here.
36:09
Well,
36:11
now I'd like to show you the next slide here,
36:16
and in this slideThis case is,
36:20
I would say that you frequently see this scenario.
36:24
I think so. So a patient who comes with this enhancing lesion,
36:28
suspicious.
36:30
The lesion is large, however, there's no mass effect
36:34
that matches the size of the lesion.
36:37
And the lesion actually follows or the abnormal enhancement follows a vascular
36:41
territory, where you have also diffusion restriction along the
36:44
vascular territory of the right PCA.
36:48
And then you have very high lactate.
36:50
So when you did spectroscopy in the beginning, they thought that there was some
36:53
technical problem. The spectrum is
36:56
unreadable, uninterpretable, and you can't
37:00
get
37:01
any interpretation or any conclusion.
37:04
But in reality, look carefully at this lesion.
37:08
You have some sort of lactate here.
37:11
And there's one piece of information that is very critical in this case, I'd like
37:14
to add.
37:15
On 3 Tesla,
37:18
lactate should invert on intermediate E, but it's not
37:22
consistent as in 1.5 Tesla. In 1.5 Tesla,
37:26
lactate will always invert on intermediate E, but in 3 Tesla,
37:30
it's not always consistent. Sometimes it doesn't, sometimes it
37:34
does, and sometimes one doublet, one peak inverts,
37:38
but while the other one does not. So this is a case of infarction.
37:42
Yes, true, you have high lactate. Why?
37:45
Because you have anaerobic metabolism.
37:46
You have severe tissue ischemia and hypoxia, and you end up having
37:51
marked elevation of lactate while the other metabolites or the other peaks
37:55
are reduced, at least because of the tissue
37:58
destruction, but also because they are relatively
38:02
visible compared to the high peak of the lactate here.
38:06
So this is a case of infarction. So do we
38:10
frequently or do we usually do MRS in cases of infarction? The answer is no.
38:14
But sometimes it happens, especially when in subacute infarction, when you get a
38:17
case like this one with strong enhancement, like everyone is suspicious, and
38:21
you need to avoid biopsy at least of these lesions, because biopsy is of
38:25
course unnecessary, and it can
38:28
carry diverse adverse
38:31
effects.
38:33
Well, in the case of brain abscess spectroscopy is usually useful
38:37
together with perfusion because in perfusion you will have reduced
38:41
rCBV, and this will help you differentiate these ring-enhancing lesions
38:45
usually compared to tumors, but also in spectroscopy,
38:49
spectra will make you confident, will add
38:52
a lot to the value of the study
38:56
or to the confidence of the diagnosis. What do you usually see?
39:01
Lactate in these cases, again, because of the necrosis.
39:04
But we have here suppurative necrosis. It's not liquefactive.
39:08
It's not as the type of necrosis that we usually see in tumors,
39:12
but in abscesses, we see liquefactive necrosis or
39:16
suppurative necrosis. So you will have lactate at the expected location,
39:20
1.3 PPM, and you will have many amino acids.
39:23
And always remember this, A abscesses
39:26
is A amino acids. You will have alanine, you have acetate, you have
39:30
aspartate, and you don't need to remember all these resonance
39:33
frequencies. You can just look them up at Google when you see a suspicious
39:37
case of abscess. You will have succinate, which is very useful
39:41
at 2.4 PPM in cases of suppurative infections and sometimes
39:46
you will have other metabolites or other peaks as well.
39:50
What about tumefactive them? I work in a place-- We have
39:54
a national referral center of MS cases
39:58
in Kuwait, and we don't do MRS. I can't say that we
40:02
should do MRS in every single case of MS, but what happens is
40:06
sometimes you receive a patient like this with a single lesion,
40:10
single ring-enhancing lesion. I understand that this is an open ring of
40:13
enhancement, and this should be a clue, but again, the patient doesn't have
40:17
any history of demyelination, and this is the first presentation, and the
40:21
lesion is surrounded by abnormal signal on FLAIR.
40:24
So this might add some value to the diagnosis.
40:28
Itself alone, it cannot make the diagnosis,
40:32
but in conjunction with other modalities, of course, it's going to be very
40:36
useful. What do you expect to see in cases of MS?
40:39
Usually nonspecific features,
40:43
like macromolecules, elevation of macromolecules here in zone three,
40:47
you have
40:48
elevation of glutamate here in zone two, and you
40:52
can see this peak here, and you can also have some lactate which inverts here
40:56
on intermediate TE because of this tumefactive
41:00
lesion. And of course, there will be some sort of elevation of choline.
41:03
Again, these peaks are
41:07
nonspecific, but in conjunction with other techniques should be useful.
41:12
Metabolic CNS disorder. This is very useful and very
41:15
relevant application of MRS.
41:19
So in neurodegenerative diseases, the rule is that you have
41:23
lower NAA.
41:25
In having Canavan disease, of course, this is the
41:28
only CNS disorder that will show you
41:32
remarkable elevation of NAA.In mitochondrial disorders,
41:36
always look at lactate because it's going to be elevated because of the
41:39
anaerobic metabolism, and hepatic encephalopathy, and so on.
41:43
And always try to find the new peak.
41:46
And
41:47
to be honest, these cases are usually referred with a provisional diagnosis.
41:50
So you have some sort of a thought in your mind
41:54
before performing MRS. And this is very important because sometimes you
41:58
need to manipulate the technique in order to be able
42:02
to pick the new peak or to detect the new peak
42:06
that is characteristic of the lesions. One example is phenylketonuria.
42:10
And when you look carefully at phenylalanine, it resonates at seven point three six
42:14
ppm. And this is extremely important because in our clinical
42:18
practice, we usually scale or we usually look at ppm
42:22
starting from four or slightly higher than four, but we never
42:26
go to seven point three six. And this is not
42:30
something that you need to do before the scan.
42:32
You can change the settings. You can ask your tech to
42:36
expand the bandwidth to cover
42:39
this part of the scale so you can pick the
42:43
phenylalanine, which resonates at seven point three six ppm, and it's going to be
42:47
very characteristic, and it will help you diagnose
42:51
these cases. So in phenylketonuria, remember to expand the display.
42:55
The other piece of advice that I'd like to
42:59
give here is the use of intermediate TE, because if you use short
43:02
TE, you'll have much disruption of the baseline.
43:06
And sometimes phenylalanine is very short, not like this case.
43:09
In mild cases of phenylketonuria, you can have that
43:13
here with a lower amplitude, so it's going to be mixed with
43:17
the noise or with the disruption of the baseline.
43:19
So always try to use intermediate TE because this is the
43:23
best TE that will give you the highest signal
43:27
compared to the highest SNR ratio and will mask
43:31
the noise here in the baseline. Well, so in succinate, in case of succinate
43:35
dehydrogenase deficiency or complex
43:39
two deficiency,
43:40
other than finding elevation of lactate, succinate also will
43:44
be a useful marker here. So what about glycine in
43:48
cases of nonketotic hyperglycinemia?
43:51
This is another piece of advice and another technical manipulation that you
43:55
need to do because in cases of hyperglycinemia,
43:58
it's
44:00
very important and critical to use intermediate TE.
44:03
And the reason is, look carefully at the ppm value here,
44:07
where glycine resonates. It resonates at three point five five.
44:10
For those who do MRS, what else resonates at this
44:14
location? Very close to this location. It's myo-inositol.
44:18
Myo-inositol resonates as a multiplet from three point five to three
44:22
point six. Let me say three point five four
44:26
or three point five six. So it's very close to
44:30
glycine. So using intermediate TE, and I told you in the beginning that
44:33
myo-inositol can invert on intermediate TE, but the
44:37
clinical intermediate TE that we do at one hundred one three five
44:41
or one hundred
44:43
forty-four milliseconds, usually myo-inositol gets
44:47
reduced, remarkably reduced. So it will make your glycine
44:51
more visible because glycine will not be affected, but myo-inositol will be
44:55
reduced. So it's a strategy to
44:58
make some sort of nulling of the myo-inositol in
45:02
favor of the visibility of the glycine in these cases.
45:04
So imagine when you have these cases, your tech must talk to you, and
45:08
you can have very important inputs to
45:12
the technical optimization of the study.
45:16
In cases of maple syrup urine disease also, it's very useful because you
45:19
basically look at new peaks, beta-chain amino acids, beta-chain ketoacids.
45:24
Again, this is very helpful to make the diagnosis.
45:27
So the role of MRS in metabolic and MS disorders can be
45:30
supporting diagnosis, of course, with other imaging findings,
45:35
to do the serial follow-up in these patients, especially those who are under
45:38
dietary restrictive treatment. So you need to make sure that things are getting
45:41
better on the follow-up, and you can also screen siblings without doing
45:45
any bad stuff or any extensive
45:49
investigational workup, such as in patients with
45:53
X-linked adrenoleukodystrophy.
45:56
And again, remember that intermediate TE is your real friend,
46:00
not only because of glycine that can be more visible, but also look
46:04
at this. In cases of phenylketonuria, intermediate TE will be very
46:08
useful because it will remove the baseline distortions.
46:11
And look at the neurodegenerative disorders.
46:14
The hallmark here is the loss of the
46:17
NAA. So loss of NAA in neurodegenerative.
46:20
So again, intermediate TE gives you the best SNR and gives you the
46:24
best visibility of choline and NAA.
46:26
So the bottom line is in any case of metabolic and MS disorder,
46:30
make sure that you have intermediate TE in your
46:35
wallet.
46:37
These are two examples from my colleagues in Kuwait.
46:40
The one on the right side here is a complex one deficiency, one type
46:44
of mitochondrial respiratory chain disorder.
46:46
And again, look at the inverted lactate at
46:50
intermediate TE. While the case on the right side here is a case of maple
46:54
syrup urine disease. And once you see new peaks at
46:57
unexpected location here, look them up.
47:01
Look it up in Google, and it will
47:05
support your thought. So you have a beta-chain amino acid, a beta-chain keto acid,
47:09
and this is one of the
47:10
very useful applications of MRS in metabolic and MS
47:14
disorders. What about future directions?
47:17
Very briefly, we've started in many clinical sites
47:21
nowimplementing the edited MRS or the
47:25
spectral editing technique of MRS.
47:27
And the most popular one is the mega press spectroscopy, where we
47:31
use spectral selective pulses, and it
47:35
requires some sort of higher gradient performance.
47:39
So it cannot be applied on any MR system.
47:41
Your system must be a 3 Tesla, and there should be some sort of optimization
47:45
in terms of hardware and also software by which you can
47:50
edit the pulse based on the J-coupling differences between metabolites.
47:54
And you will end up having new metabolites, as in this example of
47:57
2-hydroxyglutarate, which is very important because it's a marker of
48:01
IDH mutation in astrocytomas. So once you
48:05
see it here, at the expected location,
48:09
you will get more confidence and the accuracy is actually
48:13
very high. It reaches up to 90% or even more.
48:17
And there are other examples here, such as glycine, that can give you
48:21
an idea about the
48:24
outcome in cases of gliomas, especially the survival, which
48:28
is lower in cases where glycine is elevated regardless of the
48:32
IDH mutational status. There are many reports
48:36
about cystathionine, which is a marker that
48:40
can predict 1p/19q code deletion.
48:43
And here, of course, I'm talking about oligodendroglioma.
48:46
Again, this is critically important to differentiate oligo
48:50
from astro even before biopsy. And then GABA
48:54
in psychiatry, glutathione in psychiatry, and also Alzheimer's disease and so
48:58
on. So it's promising, it's evolving, and we'd expect to
49:02
see more applications of edited MRS in the very
49:05
near future. What about multinuclear MRS?
49:10
Yes, it's the hydrogen or the 1H MRS that
49:14
we basically use in our
49:16
practice and in
49:18
many of the clinical sites and even researchers.
49:20
But you can imagine that there are many other
49:24
types or nuclei that we can use doing
49:28
MRS depending on
49:32
many factors. One popular one is actually the phosphorus
49:36
spectroscopy. And here's an example of phosphorus spectroscopy that
49:40
tells you new information about the phosphate in the brain
49:44
here. So this is the ATP, adenosine triphosphate, with the three
49:47
components of it. This is the phosphocreatine, which is the
49:52
battery of your energy in the brain, and this is the
49:56
inorganic phosphate, which we call the leftover
49:59
energy after consuming the energy of the phosphocreatine and the ATP.
50:03
So these are very important, and there are
50:07
variations in these values in health and disease.
50:10
And you can, for example, estimate the pH of the brain, which
50:14
changes with brain tumors, because with more aggressive tumors, the
50:18
brain usually gets more alkaline, and the pH will be
50:22
higher by just measuring the
50:26
frequency shift difference between the inorganic phosphate and phosphocreatine and
50:30
so on. You can have a magnesium
50:33
map by measuring the difference between the alpha and the beta
50:36
components of ATP and so on. So these are very useful and again,
50:40
promising techniques in the future.
50:42
Artificial intelligence is being also
50:46
implemented in MRS, such as like many other
50:50
modalities and like many other applications.
50:52
And it's useful not only in the
50:56
interpretation of the results, but starting from the data
50:59
acquisition, the processing and the analysis and the denoising
51:03
of the spectra and the reconstruction, and
51:07
then the peak picking and interpretation of results.
51:10
So many domains where AI can be used
51:14
in the field of MRS. This is an example of a classifier
51:18
system based on machine learning that we used in the past
51:23
to help us differentiate high-grade from
51:26
low-grade from non-neoplastic lesions.
51:30
And you can see here the ROC curve analysis and see the area under the curve with
51:33
the orange curve here that represents
51:39
reading these images by the radiologist assisted by the tool or the
51:43
software, compared to reading it
51:46
without using the tool, only by the radiologist.
51:49
And you can see here again the ability to diagnose low-grade tumors, for
51:53
example, and differentiate them from other pathology.
51:57
And this is the performance here. You can see the area under the curve is
52:01
higher here when we use the software or when we
52:04
get assisted by the software compared to the performance of radiologists
52:08
without using this tool. Well, so this brings
52:12
us to the
52:14
last slide here. This is my takeaway from this talk.
52:19
That MRS should remain a valuable and even
52:23
likable tool. And as I said, not to replace other imaging
52:27
modalities or techniques. You should use it to support your thoughts and your
52:31
differential diagnosis in conjunction with all other imaging
52:34
techniques. And this is possible only if three key factors are met:
52:38
ensuring technical quality, mastering the interpretation of the
52:42
peaks, reading the metabolic peaks very well, and then to apply
52:46
it within the right clinical indication and
52:49
under the appropriate clinical context.
52:52
So
52:54
MRS can work well with you when you get it right, when you
52:58
read it right, and when you use it right.
53:01
This is my wonderful new radiology team in Adessina
53:05
Hospital in Kuwait, and thank you very much.
53:10
All right.
53:12
Thank you for sharing all that with us, Dr. Gad.
53:14
At this time, we'll be opening the floor for any questions from our audience.
53:18
You can submit your questions to the Q&A
53:19
feature.They
53:25
did hide that recently, Dr. Gad. You're going to have to go to your
53:29
more menu.
53:31
Yeah. I can see the Q&A section, but I can also see in the
53:35
chat box other comments as well. I'm not sure which.
53:38
I think I should start with the Q&A section, right?
53:42
Go for it.
53:44
Yeah. Well, so any experience of MRS in neurodegenerative
53:47
conditions?
53:50
Yes. Again, it can be used in
53:54
conjunction with-- So if you are talking about children in
53:57
pediatric neurodegenerative disease, yes.
54:00
So yeah, we use it, and the hallmark is always
54:03
the reduction of NAA or
54:07
NA ratios,
54:10
or choline, for example.
54:12
And also
54:14
glutathione, one of the emerging
54:18
metabolites that can be used, especially with edited MRS, in cases of
54:22
Alzheimer's disease, for example.
54:24
But in my experience, it doesn't have
54:28
a major role in making the diagnosis.
54:32
Again, it
54:34
adds to
54:36
your confidence, or it helps you support
54:40
the diagnosis in some conditions.
54:44
What conditions can give both low choline and myo-inositol
54:48
peaks, and is vascular disease one of them?
54:52
Yeah, this is a good question. So any case where you would
54:56
expect some
54:58
gliosis, reactive glial tissue.
55:02
Because glial tissue is the fastest tissue to react.
55:06
Of course, neuronal tissue does not change
55:09
significantly, but glial tissue does.
55:12
So you would expect this
55:17
to happen
55:20
maybe in cases of encephalitis,
55:23
especially if it is not acute encephalitis,
55:27
if it is chronic encephalitis. Because in acute encephalitis, I would expect also
55:30
some sort of elevation of choline because of cellular proliferation.
55:34
And again, in cases of
55:37
MS, as the example I presented,
55:40
this one with tumefactive MS,
55:43
you should see some myo-inositol elevation, while the choline doesn't have to
55:47
be elevated that much. But let me be clear with you about
55:51
that. This is going to be a trap, when you have a low
55:55
choline and
55:57
elevated myo-inositol peak. So I think this is what you mean.
56:01
So low choline and elevation of myo-inositol.
56:05
But the value of looking at myo-inositol is actually when you
56:09
have a high choline. So let me make it clear.
56:12
So look at myo-inositol when you see a high choline, because it will
56:16
help you differentiate high-grade lesion from a low-grade lesion, and this is the
56:19
most relevant
56:21
approach or application of
56:25
myo-inositol MRS when it comes to myo-inositol.
56:29
So could you kindly repeat the-- Yes.
56:32
So integral amplitude. So the basic thing is that some
56:35
systems, because we always look at the spectra, but the
56:39
number that is written next to each peak of the
56:43
spectra represents the
56:47
amplitude or the integral. If it has an i, if it has the letter i
56:51
next to it, it means that this number represents the integral, which
56:55
is the area under the curve, and in my opinion, and based on my experience,
56:59
this is much better, especially if your bandwidth is not
57:04
very sharp. I mean, the peaks are not very sharp because of
57:07
shimming problems, because of anything.
57:09
Once you have broadening of the spectra, never rely on the
57:13
amplitude. Believe me, always rely on the integral,
57:17
and this is something that you can control in the setting.
57:20
But if you have a narrow bandwidth and you have a sharp peak, then
57:24
I assume that the amplitude should equal the integral.
57:27
I mean, the amplitude should reflect
57:31
the integral. If this one is high, the other one should be high as
57:35
well. How can we explain spectral degradation in the peripheral
57:39
voxels of CSI?
57:44
Yes, I would say that this might happen because of the
57:49
outer volume suppression, because whenever you have outer volume suppression, you
57:53
saturate this band and you saturate also the voxel
57:57
just adjacent to this band, and this is usually what
58:00
happens.
58:02
So
58:04
this is why you get some sort of degradation in the periphery of the voxels of the
58:07
CSI, and this is why your grid should cover the lesion and should
58:11
cover the area around the lesion, the peri-lesional area, and should
58:15
cover some backup voxels. Let me
58:19
call them backup voxels or spare voxels.
58:22
You can use them,
58:25
or you can just ignore them, because you should expect some sort of
58:29
degradation at this part. The other thing that in practice,
58:33
most of the time, the lesion is when you put a grid on the lesion and the lesion
58:37
is quite sizable, most likely you will end up
58:40
abutting the surface of the brain or an
58:44
area that you want to avoid naturally,
58:48
either the skull,
58:50
either the maxillary sinus, the skull base, or even
58:54
outside the skull itself. So you'll end up having some air.
58:57
So it's either air, bone, or maybe CSF, nobody
59:00
knows, and this might cause some distortion and degradation of
59:04
the spectrum. What else do we have here?
59:08
Oh, thank you.
59:10
Where are we with AI reading spectra?
59:12
So to be honest, so I have some experience with AI, but not
59:15
exactly in MRS. But what I can say, yeah, I'm not sure when did
59:19
you exactly post this question, but I think my slide on AI
59:24
should have answered this question
59:27
briefly.
59:29
Thank you. Due to time limitations, one is only able to use one or two
59:33
single voxelThe MRI sequence, which would you pick?
59:36
Short, intermediate? Yeah, this is a very good question.
59:39
Well, so
59:42
the best approach is to do short and intermediate.
59:46
So I always say that if you don't know the lesion, if this is your
59:49
first encounter with the patient, you don't know anything about the lesion, you
59:53
have to do both.
59:55
Okay?
59:57
But if you know that this is a tumor case and you follow up this
60:00
tumor, either for possibility of recurrence, possibility of
60:04
radiation necrosis, treatment-induced change, anything like that,
60:07
then let's focus on intermediate. Why to do short TE?
60:11
You're not getting any new information. Just do intermediate.
60:14
Every time the patient comes for follow-up, do intermediate.
60:17
But if this is the first time... So
60:20
the other answer to your question, which is very practical, if you're really short
60:24
of time, if you don't have
60:27
time for it, to do another six-minute or five-minute
60:31
MRI scan, then it's fine. Let's do short, and if you don't
60:35
see anything near the lactate region, near zone three,
60:40
then you can just rely on the other metabolites on short TE.
60:44
Or if you get a clean spectrum as well, because many times
60:49
under many situations, we do the short, and we get some sort of
60:52
distortion of the baseline. So well, so from your experience,
60:56
are there suggested anatomical locations in the evaluation of
61:00
inborn errors of metabolism? It depends.
61:03
So for example, you would, in a case of leukoencephalopathy, just
61:07
go for the abnormal signal.
61:09
In a complex
61:11
one deficiency,
61:16
you should see the lesions involving the basal ganglia and the brain stem.
61:21
Same thing, in a case of Ley disease.
61:23
So the answer, it
61:27
depends on the expected pathology or
61:31
if you have an abnormal signal, then it's going to be very useful to just
61:35
follow the abnormal signal. Ways to show
61:39
2HG,
61:41
yes, doing mega press spectroscopy,
61:45
but you have to
61:47
have a software, a toolbox to
61:51
do the off resonance and on resonance, and then to do the
61:54
difference spectrum, because there is a way to read that, and this is
61:58
not available on the vendors and the vendors'
62:02
workstations. So if you have a vendor workstation,
62:06
either the Single via by Siemens or the Spectra
62:10
View by Philips or the
62:12
one by GE, I can't remember that exactly the name.
62:15
So you would not have this
62:18
tool or this option. So the only way to do it is to use a
62:22
third-party software. There are many free third-party software,
62:26
and there are also paid or subscription
62:30
ones as well to document. But again, you cannot do it
62:35
just on your standard scanner, standard three tesla scanner.
62:39
You have to optimize it. You have to, I think, to
62:42
purchase the
62:44
technique itself or the option, because
62:48
there has to be some sort of hardware configuration and optimization
62:52
before scanning mega press. To document MRS ratios, you
62:56
suggest using short or intermediate
63:00
voxel. I think you mean TE.
63:03
Yes, this is a good question again, but, well, so
63:07
if you are talking about the big ones, the major ones,
63:11
choline, NAA, creatine, I would suggest
63:15
doing intermediate TE, because in short TE, you should
63:18
expect some distortion of the baseline, which might affect
63:22
your metabolites, because when you have distortion, especially in three tesla,
63:26
if you get distortion in the baseline,
63:29
you will end up having spectral broadening, and
63:33
may overlap with the other peaks as well.
63:35
So even regardless of the field strength, to make this clear again, yes,
63:40
intermediate TE is the one that gives you the highest
63:44
SNR,
63:45
and the cleanest
63:48
peaks or amplitudes,
63:50
especially for the major ones, choline,
63:54
creatine, and NAA.
63:57
At Philips MRI, many ratios are present for choline NA which--
64:01
Yes, this is true, and this is what I mentioned.
64:04
It's always a combination of sensitivity, specificity, okay?
64:07
So what I would suggest, even when you look at the papers, I don't
64:11
find any consensus or agreement on using a specific ratio or a
64:15
cutoff point, if you mean that. So it
64:18
requires practice, and it's very useful when you do comparison
64:22
with the previous
64:24
studies. And again, this is another benefit of using intermediate TE
64:28
that it has been reported that intermediate TE is
64:32
the most reliable TE when you do comparison, when
64:36
you do follow-up, because you will end up having consistent quality
64:40
every time you do the MRS scan. So,
64:45
yeah, lymphoma. So L lymphoma always
64:49
reminds you with L,
64:51
lipid lactate. So in lymphoma, you would have also
64:55
more lipids. This is what we expect, and also you have
65:00
elevated choline, of course. So what about NAA?
65:03
If the lymphoma is infiltrating the tissue and the lesion is
65:07
really big, so you should expect your NAA to be lower,
65:12
because there's no neuronal element of tissue.
65:14
But most of the time, lymphoma infiltrates the tissue and does not
65:19
destroy the neuronal architecture of the brain, which
65:23
is even more confusing to you. So I would
65:27
definitely, yes, I can do spectroscopy in case of lymphoma.
65:30
At least I would have an idea that I'm dealing
65:34
with an aggressive lesion or a malignant lesion.
65:37
But yes, definitely, I would rely more on
65:40
diffusion because you would expect restricted diffusion and on perfusion
65:44
studies, DSC studies, especially when you look at the PSR or the
65:48
percentageThe
65:54
signal
65:56
recovery percentage, the percentage signal recovery, I remember the name.
66:00
PSR, which is the
66:02
behavior of the curve after the first shoot.
66:05
So does it recover, or does it overshoot?
66:07
That differentiates lymphoma from GBM and also from mets.
66:12
In the report, do we document only ratios or also integrals?
66:16
And so we never document integrals. I never do that.
66:19
And I never document amplitudes as well, because
66:22
when it comes to
66:25
quantification, so the best
66:28
strategy is to use ratios. And this would avoid
66:32
many of the
66:34
pitfalls, because if you have something that might
66:38
have affected the quality of the spectrum, probably if you have some sort of
66:42
fake elevation of choline, the NA could
66:46
have undergone the
66:50
same thing. So
66:52
always using ratios compensates for
66:56
most of these technical challenges, but
67:00
also be careful, again, because using just ratios and relying
67:04
on ratios to make the diagnosis is risky and is very
67:07
challenging. So these are the Q&As.
67:10
Oh, there are many others in the
67:15
chat, but not in the Q. I think we finished the Q&A.
67:20
Ben, what do you think?
67:22
Sounds like you did a great job.
67:28
So we still have a long list here under the chat,
67:32
but I can just pick two or
67:36
three if time permits. Is that okay?
67:37
Yeah. If you'd like to pick a few from the chat, go ahead.
67:40
Yeah. Perfect. So, yeah, there are some good comments.
67:44
Thank you for that.
67:45
Okay.
67:51
Advice for building an MRS program for institutions that do not
67:55
have a robust program.
67:59
Well,
68:00
yeah, I see that.
68:03
I would say that
68:05
building the team, so it's strategies, you have a clear vision first,
68:09
and you should also talk to all partners, all
68:14
stakeholders, we can call them. And
68:18
then training, because if you have a good team, and if you
68:21
have the
68:23
personnel,
68:26
I mean, the technologist and also the
68:30
radiologist, the dear radiologists who are well-trained, that will make a big
68:34
difference when it comes to the time of interpretation.
68:38
And again, one of the major challenges or limitations in
68:42
using spectroscopy, especially when it comes to the reading time or
68:45
exhausting your resources, is getting a poor quality
68:49
scan. Because once you have a poor quality scan, you will end up having
68:54
longer times for interpretation, and you'll struggle with
68:58
that. So I think training is also another factor that is very
69:01
important.
69:03
And finally, I would say,
69:06
also the integration of AI
69:09
into the workflow somehow, at least in the
69:14
acquisition, in the denoising part, and maybe in picking the
69:18
peaks and helping you minimize the time you...
69:22
This is for the time and for the reimbursement and the time constraint and so
69:26
on. But basically, you need more training
69:30
of the staff so that they can...
69:33
This is the key factor behind success of any
69:37
program, including MRS. Well, let's do one more thing
69:42
here.
69:45
So, yeah, I think we've answered many of these
69:49
questions before.
69:52
Yes.
69:54
So,
69:56
yeah. Lipids and lactate both always go hand in
70:01
hand and indicate high-grade features.
70:04
Not always true. Because
70:08
from the histology or from the histopathology
70:13
perspective,
70:15
so you see lactate because of the anaerobic
70:20
metabolism, okay? And this happens because of
70:23
when you have neangiogenesis in these tumors, but this blood supply
70:27
does not support the demand of the growing
70:31
or the expanding tissue. So cells are increasing or proliferating.
70:35
They keep proliferating every single hour, and then they
70:39
end up having less blood supply. And here
70:42
they go into a process of hypoxia, a
70:45
cascade of hypoxia, even before necrosis.
70:48
So you don't have to see necrotic features in the lesion by
70:53
macro imaging, to get a high elevated lactate.
70:56
And this is one of the very useful, valuable
71:00
parts of spectroscopy, that you detect tissue
71:03
hypoxia or necrosis before seeing gross
71:07
necrosis.
71:08
Lipids is
71:11
actually a marker of... So they come from cell membranes.
71:14
And you need to have cell membrane
71:17
destruction to see lipids. So it's a different
71:21
pathology. They are correlated with each other because you will end up having
71:25
both of them in high-grade tumors, but they can precede
71:30
each other. So you can start by necrosis, and once you have cell death,
71:34
the cell membrane will be destroyed, and you will see
71:37
more lipids. And this is an interesting area,
71:41
but I think when it comes to tumors and high-grade tumors, you
71:45
should rely on lactate. Why? Because
71:48
from the pathology perspective, pure pathology perspective, what are the three
71:53
cardinal features of grade four gliomas?
71:57
NeoangiogenesisNecrosis.
72:01
So one of them is neoangiogenesis.
72:02
Neoangiogenesis, necrosis, and hemorrhage. Right?
72:06
So for neoangiogenesis, this is one of the cardinal features, one of the
72:09
hallmarks. So once you get
72:13
neoangiogenesis,
72:15
this is a sign that your tissue
72:19
will evolve into hypoxia very soon.
72:23
Because necrosis, again, is a gross feature.
72:25
Even if you see it microscopically, it's still a gross feature.
72:29
So in between neoangiogenesis and, because those vessels are aberrant,
72:33
as you know, they are very weak, they are fragile, they disrupt very
72:37
easily. And once that happens, you begin the
72:41
cascade of hypoxia and necrosis. And this is why you need to
72:45
rely on lactate, because it translates what's happening in the
72:48
pathology. It correlates very well the grade for
72:53
nature of the
72:56
aggressive
72:58
tumor. So I would say
73:01
lactate is much more better, or much more
73:04
reliable,
73:06
than just using lipids in high-grade
73:10
tumors.
73:11
Yeah, I think we exceeded the time for maybe 15
73:15
minutes, right?
73:18
Hey, great job answering all those questions, though.
73:20
Yeah. Thank you very much.
73:23
Yeah, thank you for that great lecture today, and thanks to everyone for
73:27
participating in our Noon Conference and asking so many great questions.
73:31
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73:36
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73:39
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73:44
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73:47
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73:52
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73:57
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