To the best of our knowledge, this is the first study that employs gagCEST for the longitudinal evaluation of untreated articular cartilage defects. We demonstrate that gagCEST at 7T has the potential of discriminating between cartilage defects, weight bearing and non-weight bearing femoral cartilage and therefore might serve as a biomarker for the evaluation of novel cartilage therapies. Furthermore, our study implies that proper fixation of the examined knee may help to increase the reliability of gagCEST experiments.
This study was approved by the local ethics committee and written informed consent was obtained from all patients prior to enrolment. Sixteen patients (mean age, 47.4 ± 10.2 years; 9 males) were included in the study. As inclusion criteria served at least one MRI confirmed cartilage defect in the knee joint (ICRS Grade I or II) and additional risk factors for disease progression. All patients were examined on a 7T whole-body research MR scanner (Magnetom, Siemens Healthineers, Germany) using a 28-channel knee array coil (Quality Electrodynamics, OH, USA). Each patient was measured at four time points (baseline (B), 8 days (8D), 3 months (3M) and 6 months (6M)). T2-weighted 3D- double echo steady-state (DESS) images (0.5 mm isotropic resolution, TR/TE = 8.68/2.55 ms; TA 3:58 min) were acquired for morphological evaluation and segmentation. For CEST experiments, a prototype segmented 3D RF-spoiled gradient-echo (GRE) sequence (TE = 3.1 ms, TR = 7.9 ms, resolution = 0.9 x 0.9 x 2.2 mm3, measurement time = 20:30 min) was used. Selective presaturation was performed using ten 60-ms adiabatic full passage hs2 RF pulses with variable frequencies (± 10, ± 20 Hz) with an interpulse delay of 20 ms [1]. Nineteen offsets (stepsize of 92 Hz) in the range of ±2.8 ppm around the water resonance and a scan without saturation were acquired. After image registration, the asymmetry of the Z-spectra (MTRasym) was calculated from integrals over the offset range ±∂ = 0.6–1.8 ppm relative to the minimum of each individual Z-spectrum using an in-house Matlab script [2].
For image analysis, an expert musculoskeletal radiologist identified one cartilage defect in each patient based on a routine 3T exam and identified the corresponding T2-weighted DESS images for the regions of interest (ROI) analysis. All ROIs (weight-bearing, non-weight-bearing femoral cartilage and the defect) were defined in 3D DESS morphological images and subsequently transferred onto CEST maps by one reader. Paired Student’s t-test was used to determine the differences in MTRasym between weight bearing femoral cartilage and the defect. A two-way mixed intraclass correlation coefficient (ICC) was calculated to assess the reproducibility between B and 8D. Differences between weight-bearing, non-weight-bearing and defects were analyzed using one way ANOVA. A p-value < 0.05 was considered statistically significant.
1. Mlynarik V, Zbyn S, Schreiner M, et al. Comparison of gagCEST and sodium MRI in evaluating knee cartilage in vivo at 7 tesla. Proc Intl Soc Mag Reson Med 23, 4231 (2015).
2. Schreiner MM, Zbyn S, Schmitt B, et al. Reproducibility and regional variations of an improved gagCEST protocol for the in vivo evaluation of knee cartilage at 7T. Magn Reson Mater Phys 29, 513 (2016).
3. Kim M, Gillen J, Landman BA, et al. Water saturation shift referencing (WASSR) for chemical exchange saturation transfer (CEST) experiments. Magn Reson Med 61, 1441 (2009).