Benedikt Hager1,2,3, Sonja Walzer3, Matthew DiFranco4, Vladimir Juras1,5, Vladimir Mlynarik1,2, Markus Schreiner3, Martin Zalaudek1, Stefan Domayer3, Esau Poblador Rodriguez1, Andreas Berg4, Reinhard Windhager3, and Siegfried Trattnig1,2
1High Field MR Centre, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, 2Christian Doppler Laboratory for Clinical Molecular MR Imaging, Vienna, Austria, 3Department of Orthopaedic Surgery, Medical University of Vienna, Vienna, Austria, 4Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria, 5Department of Imaging Methods, Institute of Measurement Science, Slovak Academy of Sciences, Bratislava, Slovakia
Synopsis
The purpose of this study was to examine whether gagCEST imaging reflects the histopathological changes concerning glycosaminoglycan in human meniscus in vitro. All MRI acquisitions were performed on 7T MRI with a microimaging system. Histological staining using safranin-O was performed for correlation to imaging findings. Qualitatively,
the gagCEST map and the corresponding safranin-O image show the same relative regional
intensity of glycosaminoglycans. In sum, gagCEST imaging in a 7T microimaging system allows a very detailed look into the
glycosaminoglycan distribution in the human meniscus.
Purpose
To
examine whether gagCEST imaging/CEST effect reflects the histopathological
changes concerning glycosaminoglycans in human menisci using MR-micro-imaging
on an ultra high field human MR-scanner in vitro.
Histochemical
staining was performed for correlation to imaging findings.
Introduction
Meniscus
degeneration is characterized by collagen fibre disorganization, increase of
water content and increase of glycosaminoglycans1.
Glycosaminoglycan Chemical Exchange Saturation Transfer (gagCEST) imaging is a
relatively novel quantitative imaging method. The gagCEST effect (MTRasym) is
related to glycosaminoglycan concentrations and has been shown to be a useful
technique for direct estimation of GAG content in various cartilaginous tissues
2,3,4, which makes this
technique a promising approach for the
early detection of pathological changes in menisci without contrast agents5.
Materials and methods
Sample
preparation: Five meniscal samples were obtained from a pair of human medial
and lateral menisci from one osteoarthritic knee joint of one patient. The
meniscal samples were fitted into a 5ml tube filled with PBS solution.
Orientation of circumferential meniscal fibers parallel to B0 and
radial fibers perpendicular to B0 was chosen to avoid magic angle
artefacts.
All MRI acquisitions were performed on 7T MRI
(Magnetom Siemens Healthcare, Erlangen, Germany) with a MR-microimaging system6.
For gagCEST imaging a 19mm 1H-NMR volume coil (Rapid Biomedical,
Wuerzburg, Germany) was used.
gagCEST
was applied using a train of adiabatic RF pulses7 followed by signal readout with a 3D
RF spoiled GRE sequence. Adiabatic pulses were used to ensure a constant flip
angle. The following saturation parameters were used: B1-CWAE (continuous wave
amplitude equivalent) = 1.5μT, number
of CEST pulses = 6, pulse duration PD = 60 ms, interpulse delay IPD = 30 ms,
number of slices = 28. The GRE imaging parameters were: FOV =16.8 x 20 mm2, pixel size = 0.3 x 0.3 mm2, slice thickness = 0.4 mm, TR/TE
= 5 ms/2.1 ms, flip angle = 4°, Number of offsets = 60, acquisition duration
=25:23 min.
The
CEST curves were calculated for each pixel and were shifted for the water
resonance to appear at 0 ppm of the CEST-spectrum. The magnetization transfer
asymmetry rate (MTRasym (δ) = MTR (+δ) – MTR(-δ)) was integrated over the
offset range δ from 0.6 – 1.8 ppm, which corresponds to the resonance frequency
range of GAG–hydroxyl protons, and was used as signal intensity for gagCEST
images.
After the MR measurement,
histological analysis of the menisci specimens was performed. Meniscal
specimens were fixed in formalin, decalcified, dehydrated and then embedded in
paraffin. Subsequently, deparaffined sections (2.5µm) were stained with safranin-O
for visualization of glycosaminoglycans, picrosirius red for analyzing of collagen distribution and
H&E to evaluate the cellularity and cell morphology.
Results
Figure 1 shows a representative in-vitro CEST
map and the corresponding safranin-O stained image. Qualitatively, the gagCEST
map and the corresponding safranin-O image show the same relative regional intensity
of glycosaminoglycans. This match of gagCEST maps with histochemical finding
was found for all 5 samples. Figure 2a shows a representative Z-spectra and Fig.
3 the MTR
asym curves from three regions of interest (ROI) of the same meniscal
specimen. The ROIs were placed in the red (vascularized) zone, the red-white
zone and the white (avascular) zone (Fig.4). The mean CEST effects of these regions
are 4.5 % (red zone), 3.3 % (red-white zone) and 1.6 % (white zone).
Discussion
In
vivo gagCEST imaging in cartilaginous tissues is very prone to errors due to
partial volume effects and motion. The advantage of using gagCEST imaging in a
7T microimaging system in vitro is that it allows motion artefact free imaging
with resolution far better than that of clinical
imaging. Overall, this setup allows a very detailed look into the
glycosaminoglycan distribution in the human meniscus.
Conclusion
For the first time, gagCEST imaging of human
meniscus was successfully performed on a 7 T human scanner at with high spatial
resolution using a microimaging insertsystem. The results of this study
highlight the potential of gagCEST imaging for early assessment of slight
pathological changes in this tissue before morphological changes are seen.
Acknowledgements
The study was supported by a grant provided by Vienna Science and Technology Fund, Project WWTF-LS11-018.References
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