Spotlight on gagCEST imaging in human menisci with MR-microimaging on ultra-high field 7T - a pilot study
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 MTRasym 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

[1] Pauli C. et al., Macroscopic and histopathologic analysis of human knee menisci in aging and osteoarthritis. Osteoarthritis Cartilage 2011; 19(9): 1132–1141

[2] Krusche-Mandl I, Schmitt B, Zak L, Apprich S, Aldrian S, Juras V, et al. Long-term results 8 years after autologous osteochondral transplantation: 7 T gagCEST and sodium magnetic resonance imaging with morphological and clinical correlation. Osteoarthritis Cartilage. 2012;20(5):357-63.

[3] Ling W, Regatte RR, Navon G, Jerschow A. Assessment of glycosaminoglycan concentration in vivo by chemical exchange-dependent saturation transfer (gagCEST). Proc Natl Acad Sci U S A. 2008;105(7):2266-70.

[4] Muller-Lutz A, Schleich C, Pentang G, Schmitt B, Lanzman RS, Matuschke F, et al. Age-dependency of glycosaminoglycan content in lumbar discs: A 3t gagcEST study. J Magn Reson Imaging. 2015.

[5] Singh A, Haris M, Cai K, Kassey VB, Kogan F, Reddy D, et al. Chemical exchange saturation transfer magnetic resonance imaging of human knee cartilage at 3 T and 7 T. Magn Reson Med. 2012;68(2):588-94.

[6] Berg, A. Potthast, P. Starewicz. MR- microscopy on a human 7T scanner. Proc. ISMRM/ESMRMB 2010, progr nr. 1048, Stockholm, Sweden , 01.-07.05.2010 (2010)

[7] Mlynarik V et al. An improved saturation scheme for measuring gagCEST in human knee at 7 T. Proc Intl Soc Mag Reson Med 23, 4231 (2015).

[8] Deligianni X. et al., High-resolution Fourier-encoded sub-millisecond echo time musculoskeletal imaging at 3 Tesla and 7 Tesla. Mag. Reson. Med. 2012; 70(5): 1434-1439

Figures

Figure 1. In vitro gagCEST map and the corresponding safranin-O stained image. The safranin-O image shows signs of mucinous degeneration with depletion of GAG. The gagCEST map reveals a decrease of gagCEST effect in the same region.

Figure2. CEST spectrum of three representative ROIs (red, red-white, white zone) of one specimens. The CEST spectrum was generated by measuring the water saturation as function of irradiation frequency from -2.6 to + 2.6ppm.

Figure 3. The CEST effect of 3 ROIs placed in the red, red-white and white zone was calculated by asymmetry analysis (MTRasym = 1 – Ssat/S0) of the CEST spectrum with respect to the water frequency.

Figure 4. A morphological T2* weighted image (TE = 2.5ms) measured with a gradient echo based sequence8 shows placement of the ROIs for CEST calculation in the red, red-white and white zone of the meniscus. The spots on the side of the image are caused by small air bubbles.



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
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