Marguerite DUCAMP1, Axel Barbier2, Gabrielle Mangin2, Maddy Parsons1, and Ralph Sinkus1,3
1Departement of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom, 2INSERM UMRS1148 Laboratory for Vascular Translational Science, Paris, France, 3INSERM UMRS1148 Laboratory for Vascular Translational Science, University Paris, Paris, France
Synopsis
Keywords: Biology, Models, Methods, Elastography, organoids, high resolution
Motivation: MR-Elastography is technology that shows promises for gauging response to therapy.
Goal(s): It is hence of great interest to make this technology also available for the quantification of tissue organoids/spheroids. This enables the translation of the same imaging biomarkers to the pre-therapeutic regime.
Approach: We present a system that allows for contactless quantification of organoid biomechanics at 35micron resolution and show that gauged spheroids as small as 400mm in diameter are properly quantified in terms of shear wave speed.
Results: The concept allows to “real-word” organoid testing as they are embedded in a collagen dome with buffer solution around to enable drug exposure.
Impact: Using
MRE sequence on patient derived materials to predict cancer cells response
to chemotherapy, could be a lifetime saver not only for the patient but also
for the clinician decision, by testing in vitro several therapies at the same
time.
Introduction
MR-Elastography (MRE)
has shown promises in quantifying non-invasively liver fibrosis [1] [2] [3] and recently also in gauging early
response/resistance to chemotherapy for breast cancer (ISMRM 2022, #1591). It
is hence of great interest to make this technology also available for the
quantification of tissue organoids/spheroids. This enables the translation of
the same imaging biomarkers to the pre-therapeutic regime, where patient-specific
tumour samples can be exposed to different drugs for testing. Previous
developments of m-MRE [5] did not address the required
microenvironment for hosting spheroids/organoids that typically are embedded in
small droplets of collagen, nor did they quantify the stiffness of spherical
structures as small as 400 microns in diameter. Here we present such a system
and show results from artificially made spheroids (agar) with known stiffness
that are embedded in a droplet of collagen.METHODS
Data acquisitions was performed on a 7T MRI preclinical scanner
(Bruker, Ettlingen, Germany, gradient strength 660 mT/m)., using a 20mm
diameter surface coil for signal reception. Fig 1. shows the experimental
setup: the longitudinal z-motion of a push-pull is translated via a cantilever
system into an up-down motion which allows thereby to transmit waves into a
petri-dish (Æ30mm) from its bottom
using a rubber as coupling. This setup allowed for the generation of quasi-planar
waves (Fig.2C) that start from the bottom of the petri dish and propagate
upwards. Thereby, when performing high resolution scans with 35mm resolution in
the readout-direction (i.e. the upwards direction), very small objects can properly
be resolved and reconstruction of stiffness can be done in 1D using fitting of
sinus-functions. The MRE sequence is a classical spin-echo sequence as described elsewhere [5], [7].
For the stiffness quantification of the background medium
(ultrasound gel, Anagel ®) and the artificially made organoid (3% w agar) the
petri-dish was entirely filled with the corresponding medium and scanned with a
normal low-resolution MRE scan in coronal orientation at 300Hz. The organoid
experiments consisted of two different experimental setups: one where a ~Æ1mm agar-organoid was embedded in ultrasound gel, and a second
where a ~Æ400mm agar-organoid as embedded in a droplet
of collagen located at the bottom of the petri-dish which was the filled with PBS
(Gibco).RESULTS
Fig.2A,B show the results of the low-resolution coronal scan for
gauging the mechanical properties of the ultrasound gel: we find a shear speed of
0.96m/s. Using the high-resolution scan at 35mm in sagittal
orientation and selecting the motion component that yields a plane-wave
propagation upwards, we find from via a simultaneous sinus/cosinus-fit to the
real/imaginary parts of that wave-component a speed of 0.9m/s, which matches
very well within the RMS of 0.03.
Fig.3A shows the
results of the low-resolution coronal scan for gauging the mechanical
properties of the agar gel: here, we find a shear speed of 1.23m/s. Fig.3B presents the agar-organoid experiment, where a spheroid made from agar
was placed with the ultrasound gel. Mind that the up-down resolution of the
scan is higher than the FH-resolution whereby the spheroid appears as an
oval. When tracing the corresponding plane-wave upwards through the spheroid we
obtain the following values: |0.92m/s | 1.36m/s
| 0.9m/s | corresponding to the spatial intervals |before | within | and behind
|the agar object. The values match very well within errors the expected speeds
that we found in the previous gauging phase.
Figure 4A shows the design of the “near reality”
organoid experiment: a 400mm
agar-made sphere (low-resolution gauging experiments provided 1.3m/s for that
agar-batch) embedded in a droplet of collagen which is surrounded by buffer
solution. The corresponding high-resolution image (Fig.4B) of the upwards
propagating wave shows how the shear wave vanished once hitting the liquid
buffer solution, and how it is distorted due to the presence of the agar-made obstacle.
The sinus/cosinus-fit yields for agar-spheroid a speed estimation of 1.7m/s,
which is in good agreement with the expected value. Furthermore, we find 0.3m/s
for the collagen, which matches literature values that range of 1kPa-5kPa [7] [8] [9] [10].
Conclusion
Patient-derived organoids will likely play a key role in personalized medicine, so translating promising biomarkers for drug response/resistance to this preclinical setting is crucial. We present a system for magnetic resonance elastography (MRE) on organoids embedded in collagen droplets in petri-dishes. Our approach can measure stiffness of objects as small as 400μm. The next step is to use cellular organoids to track their biomechanics under drug exposure. The ultimate goal is to observe similar stiffness changes at the organoid level as in humans, enabling the translation of imaging signatures across scales. Acknowledgements
Wellcome Leap Grant
Integrated multi-modal tissue state mapping of TNBC progression
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