Johannes Lindemeyer1, Lukas Christian Sebeke1, Ari Partanen2, Christian Lucas Haas1, and Holger Grüll1,3
1Department of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany, 2Profound Medical Inc, Mississauga, ON, Canada, 3Department of Chemistry, Faculty of Mathematics and Natural Sciences, University of Cologne, Cologne, Germany
Synopsis
High intensity focused
ultrasound-mediated histotripsy is a modality for targeted,
non-invasive interventions. As temperature changes detected by
MR-thermometry are not directly related to histotripsy treatment
success, we propose quantitative susceptibility mapping (QSM) to
evaluate and monitor treatment efficacy. Fresh porcine heart muscle
tissue was sonicated using a clinical MR-HIFU system. Herein, we
demonstrate the successful visualization of histotripsy-induced
lesions by QSM.
INTRODUCTION:
High Intensity Focused Ultrasound
(HIFU)-mediated
histotripsy1,2
was
first described about a decade ago. Since then, histotripsy
has
emerged
as a potential
modality for HIFU interventions that non-invasively
deliver highly
effective and
localized cancer
treatments with only
little thermal
damage to
surrounding tissues.
In
contrast to
thermal ablation, histotripsy
destroys
or
emulsifies
target tissue mechanically
by the generation of small
boiling bubbles and
their interaction with
subsequent
acoustic
shock waves, inducing
immune
reactions3.
As
thermal hot
spots are generated only in very small volumes within
milliseconds4,
the
heat deposition does not
directly relate to treatment
success. Hence, standard
MR thermometry based
on the
Proton Resonance Frequency Shift (PRFS)5
effect
is
not as
useful
for treatment monitoring,
as compared
to
thermal therapies. This work proposes
an alternative method
for post-treatment assessment and monitoring of histotripsy:
Quantitative Susceptibility Mapping (QSM).
Histotripsy
induces
bubble
generation
and tissue fragmentation2.
This causes local aggregation of gas during
therapy,
and
subsequently
the
release of cell content and homogenization
of otherwise ordered tissue structures. These
factors are likely to
induce
changes in the observed local magnetic susceptibility distribution,
which
depend on the tissue
composition
and properties.METHODS:
Setup:
A
clinical
3T MRI system
(Philips
Medical
Systems, Best, the Netherlands)
equipped
with
a clinical Sonalleve V2 MR-HIFU tabletop (Profound Medical) was used
for all experiments. A
dedicated setup for preclinical experiments was mounted on the HIFU
tabletop. This setup included a four-channel preclinical receive-only
coil for imaging and a holder to position the tissue specimens.
Experiments
were performed on freshly excised porcine
heart muscle tissue.
After
excision the tissue was
stored on
ice
for
two
hours
before
being positioned
on
the HIFU tabletop.
For
histotripsy,
the sample was placed in degassed water on
top of a gel block. A second gel block and an absorber
were placed on top to avoid far field heat deposition within
the
sample. The
setup is illustrated in Figure
1.
MRI:
The
MRI protocol included a
T1-weighted
planning scan to position the HIFU transducer,
a
PRFS thermometry
sequence (multishot-EPI gradient echo) and
anatomic
pre-
and post-sonication
3D dual-echo spoiled
gradient
echo acquisitions
to record B0
changes (TE=[4.6,
9.2]
ms, TR=14.1,
FA=10°,
BW=376Hz/pixel,
0.75mm
isotropic resolution).
HIFU:
Four different sonications with
varying parameters were
applied to the tissue sample. The parameters included 540W
effective
acoustic
power, 10
000
to
18
000
cycles
per pulse,
pulse
repetition frequencies
between 1
and 4 Hz
and
sonication
durations between 52 and 350 seconds.
The
samples were placed in formalin after the end of the experiment and
were sliced along the lesions 14
days later.
Postprocessing:
Based
on the magnitude data of the 3D acquisition, data was pre-selected
using
a hard threshold. The
phase difference between the
second
and the
first
echo of the 3D acquisitions
was unwrapped using Laplacian
unwrapping6.
Background
fields were removed using V-SHARP7
and the susceptibility distribution was reconstructed with STAR-QSM6.
All
steps were applied
with
STISuite
38.RESULTS:
Post-sonication, the
histotripsy
lesions
are clearly visible in the T2*-weighted magnitude image
as
displayed in Figure
2.
The results of the QSM postprocessing are also
shown
in Figure
2,
including a difference map of post- and pre-sonication
maps, χpost
and χpre.
The lesions are clearly
delineated
and show a distinctly
higher susceptibility
value
of
up to 0.6 ppm compared
to
surrounding tissue. The
fixated
tissue slices
exhibit
the typical excavated
nature
of histotripsy
lesions
(Figure
3).DISCUSSION:
The lesion
appearance in T2*-weighted
images implies local field gradients, potentially originating in
susceptibility contrast. This
is confirmed by the QSM reconstruction, which would otherwise not
produce clearly outlined contrast. With the strongly elevated
susceptibility values, the lesions appear to contain
air
aggregation or,
less
likely,
other
sources
of
susceptibility contrast
such as blood iron.
This
finding is
particularly
interesting
as the post-sonication
QSM data were acquired ten to fifteen minutes after sonications
and
may indicate persistence of generated air cavities over a longer time
span.
The
chosen processing pipeline can produce QSM maps of the given data
arrays within a few seconds on a normal workstation computer, so
rapid calculations for monitoring are most likely feasible with a few
optimizations.CONCLUSIONS:
Our
findings indicate
that QSM can
assess
generation of histotripsy
lesions.
Using
a highly-accelerated double-echo gradient
echo
acquisition, e.g. with
3D EPI or
Compressed SENSE,
QSM may
serve
as a monitoring and
feedback tool
during histotripsy therapy.Acknowledgements
This work was
supported by the German Federal Ministry of Education and Research
(“MR-HIFU-Pancreas”, FKZ: 13GW0364D).References
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