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ISMRM Low field workshop KH
KH
by
Katie Hanna
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Updated Mar 3, 2022
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Chapters
00:00
Chapter 1
00:13
Chapter 2
00:18
Chapter 3
01:08
Chapter 4
01:21
Chapter 5
03:50
Chapter 6
03:52
Chapter 7
03:54
Chapter 8
04:13
Chapter 9
04:15
Chapter 10
04:45
Chapter 11
05:12
Chapter 12
05:19
Chapter 13
05:32
Chapter 14
06:20
Chapter 15
06:32
Chapter 16
06:34
Chapter 17
07:03
Chapter 18
07:04
Chapter 19
07:24
Chapter 20
08:56
Chapter 21
09:18
Chapter 22
09:20
Chapter 23
Audio Transcript
Auto-generated
00:01 - 00:05
how many's Katie Hannah and I'm a final Your PhD student at the University of
00:05 - 00:08
Aberdeen on today are representing on our pre
00:08 - 00:10
clinical work using fast food cycling anymore.
00:10 - 00:11
We like solitary
00:11 - 00:13
to city breast cancer,
00:14 - 00:16
So I just want to introduce my research
00:16 - 00:19
question on discuss why we're actually sitting this
00:19 - 00:23
So for your breast cancer is one of the leading causes of cancer related deaths.
00:23 - 00:24
World weighed
00:24 - 00:24
on.
00:24 - 00:30
According to the global can estimates 680,000 deaths were recorded in 2020 alone.
00:30 - 00:33
The majority of these deaths can be attributed to mental cited disease,
00:34 - 00:37
whereby the tumour has spread from its primary state, the breast
00:38 - 00:39
to distant targets.
00:40 - 00:43
The majority of metastatic cases of either a
00:43 - 00:46
result of initial diagnosis occurring at a late stage
00:46 - 00:49
or recurrence from a previous breast cancer diagnosis
00:50 - 00:55
and therapeutic options for metastatic disease are currently rather limited
00:55 - 00:57
and as such remains largely incurable.
00:58 - 00:59
Therefore,
00:59 - 01:02
the early detection and accurate assessment of
01:02 - 01:04
recurrence risk in the early stages of disease
01:04 - 01:08
is imperative for 80 treatment decisions and improving outcomes.
01:09 - 01:12
So and I do tool for investigating breast cancer would be one
01:12 - 01:14
that could not evasively and objectively
01:14 - 01:17
provide quantitative information on sugar characteristics
01:18 - 01:20
and one potential candidate could help achieve
01:20 - 01:23
this goal is asked about cycling anymore.
01:23 - 01:25
This is a tape of the solitary that
01:25 - 01:28
involves the use of a rapidly changing magnetic field
01:28 - 01:31
to facilitate the measurement of the longitudinal relaxation time
01:31 - 01:34
or rate as a function of magnetic field strengths
01:35 - 01:36
and on the left.
01:36 - 01:40
Here is just a schematic of a typical fast politically pulse sequence,
01:40 - 01:44
which comprises of three distinct fertile period polarisation,
01:44 - 01:46
evolution and detection,
01:46 - 01:49
each of which are applied at a different magnetic field strength.
01:50 - 01:52
About repeating this sequence we can obtain T Warner
01:52 - 01:54
are one values over a range of evolution.
01:54 - 01:55
Field
01:55 - 01:57
everything plot this as a dispersion curve.
01:58 - 02:02
Biological tissue are one or 21 dispersion is related
02:02 - 02:05
to the motion and international water at proteins,
02:05 - 02:08
which is some of the most abundant proton containing elements
02:09 - 02:12
on the dynamics of these component molecules.
02:12 - 02:15
Within tissue is greatly depending on whom you static balance,
02:15 - 02:17
which itself is lost in the licensee
02:18 - 02:21
in the overall shape of the dispersion curve,
02:21 - 02:24
is determined by all of the molecular dynamics within the tissue,
02:25 - 02:28
and it's sensitive to any modifications to its architecture
02:28 - 02:31
and alterations to normal tissue architecture of some of the
02:31 - 02:34
key events that lead to malignant transformation and medicine.
02:34 - 02:35
Attic progression.
02:35 - 02:39
And so the physical information contained within the dispersion curve
02:40 - 02:44
could prove to be a rich source of diagnostic or prognostic information.
02:45 - 02:48
So the main objectives of this study are
02:48 - 02:50
to discredit the physical features of this book.
02:57 - 02:58
Repeating this sequence.
02:58 - 03:02
We can obtain t one or are one values over a range of evolution fields.
03:02 - 03:04
I was employed this as a dispersion curve.
03:05 - 03:09
Biological tissue are one or 21 dispersion is related
03:09 - 03:12
to the motion and international water at proteins,
03:12 - 03:15
which is some of the most abundant proton containing elements
03:16 - 03:16
on.
03:16 - 03:19
The dynamics of these component molecules of in tissue
03:19 - 03:22
is greatly depending on whom your static balance,
03:22 - 03:24
which is self, is lost in the licensee.
03:25 - 03:28
And the overall shape of the dispersion curve is determined
03:28 - 03:31
by all of the molecular dynamics within the tissue.
03:31 - 03:35
On its sensitive to any modifications to his architecture
03:35 - 03:38
and alterations to normal tissue architecture of some of the
03:38 - 03:41
key events that lead to malignant transformation and medicine.
03:41 - 03:42
Attic progression.
03:42 - 03:46
And so the physical information contained within the dispersion curve
03:46 - 03:50
could prove to be a rich source of diagnostic prognostic information.
03:52 - 03:55
So remain objectives of the study are to describe
03:55 - 03:58
the physical features of disparaging currents from human grace.
03:58 - 04:02
Cancer tissue samples from the two heroes on on the surrounding regions
04:02 - 04:05
on then to use mathematical models to investigate her.
04:05 - 04:08
Numerical parameters derived from these cars
04:08 - 04:12
could potentially serve as bio markers for breast cancer detection.
04:12 - 04:13
And this gratification
04:14 - 04:16
So with ethical approval.
04:16 - 04:20
Issue was obtained from 20 female breast cancer patients undergoing Wade
04:20 - 04:24
local excision and mistake to me at the Aberdeen Royal Infirmary
04:25 - 04:26
Specimen or Fixing for Mullen.
04:26 - 04:29
And then samples were obtained from different areas
04:29 - 04:31
of each of the 20 century post vestment
04:31 - 04:33
shown in the diagram.
04:33 - 04:34
A special
04:34 - 04:37
use pressed his the pathologist,
04:38 - 04:40
a specialist breast test a pathologist.
04:41 - 04:45
Nature of the samples was recently validated by a second test. The Pathologist
04:46 - 04:49
Dispersion Council Rickard from each of the 140 fixed
04:49 - 04:52
tissue samples using the smart trace a spell.
04:52 - 04:52
Taylor,
04:53 - 04:56
These in this factory so still benched. Hoppy likes ometer.
04:57 - 05:00
Yeah, some of her measurements were performed at 37 degrees
05:00 - 05:03
on each sample was scanned with 30 different evolution fields.
05:03 - 05:08
In the points, there was little 1 to 8 megahertz proton, lamb or frequency beach
05:08 - 05:12
arwen dispersion codes required for each sample within 20 minutes.
05:13 - 05:17
So they announce of dispersion currents has achieved using this offer fit like two,
05:17 - 05:19
which is coded under Matt Lab.
05:20 - 05:24
All the raw data from the relaxed orbiter was imported into the software
05:24 - 05:27
on the fitting of each privatisation to keep Carver's
05:27 - 05:29
Carriedo by using the same process and paint,
05:29 - 05:30
then each time
05:30 - 05:31
to generate the dispersion codes.
05:32 - 05:35
So next I just clotted the average Kirsten each region,
05:35 - 05:38
and we can actually see clear and distinct dispersion curves,
05:38 - 05:42
particularly between the tumour and the pink and the three other regions.
05:43 - 05:45
All cars demonstrated a downward linear trend,
05:45 - 05:48
were imported using a double or graphic scale.
05:48 - 05:50
And this corresponds to power laws.
05:50 - 05:53
And previous work by our team has found that the
05:53 - 05:57
power long model fits very well with such dispersion cars.
05:57 - 06:00
And since two or three relaxation regimes
06:06 - 06:10
highlighted by the dotted lines or visible from the average curves,
06:10 - 06:12
each individual dispersion curve was fit using their
06:12 - 06:14
two out of three segment power model.
06:15 - 06:16
So next year,
06:16 - 06:20
medical parameters from the parallel equations were exported and evaluated,
06:20 - 06:22
and here I've just tried to show the schematically.
06:23 - 06:25
So we have the soap that low, medium and high field,
06:25 - 06:28
the transition frequencies between them and also the
06:28 - 06:30
vertical of state of the whole curve.
06:31 - 06:31
First,
06:31 - 06:35
the medical parameters were evaluated in the context of the tissue region
06:35 - 06:39
to investigate the utility for the detection and diagnosis of breast cancer.
06:40 - 06:45
Actually, the vertical offset this so but low medium high field Andre.
06:47 - 06:49
So next you medical parameters from the
06:49 - 06:52
power law equations were exported and evaluated.
06:52 - 06:54
And here I've just tried to show the schematically.
06:55 - 06:57
So we have the soap that low, medium and high field,
06:57 - 07:00
the transition frequencies between them and also the
07:00 - 07:02
vertical of state of the whole curve.
07:03 - 07:03
First light.
07:03 - 07:07
These numerical parameters were evaluated in the context of the tissue region.
07:07 - 07:11
Investigate the utility for the detection and diagnosis of breast cancer.
07:12 - 07:13
Actually,
07:13 - 07:17
the vertical offset this so but low medium high field on
07:17 - 07:18
the high court transition frequency
07:18 - 07:21
could all significantly distinguish the tumour
07:21 - 07:24
from all are some of the other regions of breast tissue.
07:25 - 07:25
Secondly,
07:25 - 07:28
these numerical parameters were evaluated in the
07:28 - 07:30
context of nautical proposing index scores,
07:30 - 07:34
and this is an internationally validated clinical pathological tool
07:34 - 07:38
that is used for Rhys transit vacation in breast cancer patients on.
07:38 - 07:42
Based on the score, patients can be grouped into one of five diagnostic categories.
07:42 - 07:44
Excellent, good,
07:44 - 07:46
moderate, one moderate to and poor.
07:47 - 07:50
So the patients in our study belong to the latter three categories.
07:51 - 07:55
So I've just displayed box plots from the statistically significant comparisons.
07:55 - 07:58
And interestingly, it was actually the dispersion curves from the distant,
07:58 - 07:59
non cancerous tissue
08:00 - 08:01
that produced significant differences,
08:02 - 08:05
possibly suggesting that the earliest by physical changes
08:05 - 08:07
related to disease progression a current in the periphery
08:08 - 08:09
rather than within
08:09 - 08:10
the tumour itself.
08:11 - 08:12
When I was looking at the box,
08:12 - 08:15
possibly each of the region's actually noticed that in the normal and
08:15 - 08:20
oppose group a reduction in the median vertical offset and soap medium field
08:20 - 08:22
parlour the worst prognosis.
08:22 - 08:24
And actually we did find that there was a
08:24 - 08:27
moderate negative correlation between the noting on producing index,
08:30 - 08:31
moderate tiu and poor.
08:32 - 08:35
So the patients in our study belong to the latter C categories.
08:36 - 08:37
So I've just displayed box parts from
08:37 - 08:41
the statistical significant comparisons and interestingly,
08:41 - 08:44
it was actually the dispersion curves from the distant, non cancerous tissue
08:44 - 08:46
that produce significant differences,
08:47 - 08:49
possibly suggesting that the earliest by
08:49 - 08:51
physical changes related to disease progression,
08:51 - 08:52
a current in the periphery
08:52 - 08:54
rather than within
08:54 - 08:55
the tumour itself.
08:56 - 08:57
When I was looking at the box,
08:57 - 09:00
possibly each of the region's actually noticed that in the normal Adipose
09:00 - 09:04
Group a reduction in the median vertical offset and soap medium field
09:05 - 09:06
parlour the worst prognosis.
09:06 - 09:09
And actually we did find that there was a moderate negative
09:09 - 09:12
correlation between the Nottingham Progressive Index
09:12 - 09:14
score on the vertical officer,
09:14 - 09:15
or so put low field
09:16 - 09:18
or so but medium field.
09:19 - 09:20
So just to finish,
09:20 - 09:23
we have shown that significant difference exists between the physical
09:24 - 09:27
dispersion curve of cancers and non cancer is placed issue,
09:27 - 09:30
which is an agreement with previous work carried out by our group and others.
09:31 - 09:33
And here we have made the first step to systematically
09:33 - 09:37
establish quantification of dispersion cars from breast cancer samples.
09:38 - 09:41
And overall, we have shown that the decision comes in me house novel,
09:41 - 09:44
Quantitative diagnostic and problems State biomarkers.
09:45 - 09:46
Thank you so much for listening
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