Uran Ferizi1, Ignacio Rossi2, Oran Kennedy2, Thorsten Kirsch2, Jenny Bencardino1, and Jose Raya1
1Department of Radiology, New York University School of Medicine, New York, NY, United States, 2Orthopaedic Surgery, New York University School of Medicine, New York, NY, United States
Synopsis
The development of novel treatment strategies that would prevent joint
replacement surgery at young age, as a result of PTOA, is critical. Hours after
non-contact rupture of the anterior cruciate ligament, high concentrations
of PG and type II collagen fragments are found in the synovial fluid. DTI has emerged
as an imaging biomarker that can assess both PG content and collagen
architecture with greater accuracy than T2 or Na imaging. The current interpretation of DTI measurements is that changes
in the level of proteoglycans (PG) affect the mean diffusivity (MD) index from
the DTI, while the collagen structure affects the fractional anisotropy (FA).
This study examines the feasibility of DTI, by using biomechanics for
simulating a controlled cartilage damage. We find that DTI metrics are sensitive to the early changes in the cartilage
as a result of injury. Specifically, the correlations of the mean diffusivity (MD) are statistically significant,
but those of fractional anisotropy (FA) are not. The additional validation with histology, as well as a clinical
scanning environment make these results important in the translation of DTI to clinical practice.Purpose
Understanding the changes in cartilage after injury is key to tracing
the irreversible path to posttraumatic osetoarthritis. DTI is sensitive to cartilage PG and collagen
and thus is an optimal tool to monitor cartilage degradation. Our aim is to
test the value of DTI with clinical scanners to detect changes in articular
cartilage after mechanical injury.
Methods
Cartilage-on-bone samples were harvested from two patients who underwent
knee replacement surgery at the NYU Hospital for Joint Diseases. From the macroscopically
intact areas we drilled nine 4-mm-diameter cylindrical cartilage-on-bone
samples.
Histology before and after injury (Week0/Week2):
Serial
histological sectioning was performed with safranin-O. The intensity of
safranin-O-staining increases with PG concentration. 8 non-consecutive slices
from each sample were graded with an OARSI score (healthy=0 to bone remodelling=6).
Biomechanics before and after injury (Week0/Week2):
A repetitive
stress-relaxation test with a maximum strain of 20% of cartilage thickness was
conducted (four 5%-steps). After the test, cartilage overloading/injury was
induced at three levels: three at 0N (controls), three at 120N (mild), and
three at 190 N (severe), with a strain rate of 0.1s−1 [1]. The
stress-relaxation test was repeated two weeks after injury. We use a standard quasilinear-viscoelastic model to fit the
stress-relaxation curves [2].
DTI imaging on Week 0/Week 1/Week 2:
We used a 3T
clinical scanner, with an in-house built 4 cm butterfly coil and a RAISED
sequence for DTI [3]. We set TR/TE=1500/49 ms, in-plane resolution=0.18x0.18 mm2, slice
thickness=1.2mm, BW=300 Hz/pixel, 360 spokes, Δ=19ms and δ=14.45ms. The 2h MRI
protocol consisted of two b=0 and two six-direction b=300s/mm2
diffusion-weighted shells. We then fit a cylindrical tensor and calculate the
MD and FA.
We then evaluate the correlations between the changes in MD/FA and
those in histology and biomechanics.
Results
Fig.1-left shows examples of histology
safranin-O stained images. The OARSI score for native baseline cartilages
was low, at an average of 0.75±0.36. There was no difference in the baseline
OARSI score between the severe (0.61±0.30), mild (0.88±0.41) and negative
control (0.77±0.16) groups. The score Week-0-2 change for the severely injured
samples was 2.53±1.30, for the mildly injured was 0.64±0.62, and
for the controls it was 0.37±0.25.
The DTI maps (fig.1-right) at Week 0/Week2 give
the average MD values for Controls 1.34/1.31, for Mild Injury 1.28/1.38,
and for Severe Injury 1.36/1.54 (μm2/ms
units); for FA they were 0.25/0.3, 0.30/0.31 and 0.25/0.19,
respectively.
Fig.2 shows the stress relaxation curves. For
severe injury, the slopes ratio was 2.99±0.71, for mild injury1.89±0.39, for
controls 0.99±0.14.
Fig.3 shows the ability for both (MD/FA) DTI
biomarkers to differentiate between the three time points of the
severe injury case. As expected, for the severely injured
samples, the MD increases in time, whereas FA decreases. The MD achieves a (statistically-significant)
group difference for both Week-1-2, while FA only for Week-2. On average, the severe
samples group indicate a Week-0-2 change in bulk MD of 0.15±0.08 μm2/ms and
in FA of -0.06±0.03.
In figure 4, the table gives the
DTI/biomechanics/histology correlations, for bulk cartilage and specific
layers. The correlations concern the before-and-after changes in DTI (MD/FA),
histology (OARSI) and biomechanics (`relative’), as well as all the pooled
measurements (`absolute’). In the case of MD-biomechanics, the only significant
correlation is for bulk and deep layer parameters. In relative MD vs.
histology, only the surface layer correlation is significant. This is
consistent with the known pattern of cartilage degradation, where the surface
is the first to degrade and, with time, the deterioration propagates down the
cartilage. In absolute MD vs. histology, all except deep layer correlations are
significant. These correlations are similar to previous early cartilage damage
studies [3] which uses a larger group of samples (n=43).
Figure 5 visualises the most important result
arising from table 1, showing that DTI correlates with both
biomechanics and histology. The first subplot shows the relation between the
two reference metrics, the change in histology against the change in the
biomechanics slopes. The next two subplots show the most sensitive of the two
DTI indices, the MD, against biomechanics and the histology. As indicated from
the
result in table 1, only the MD vs. biomechanics results are
statistically significant. Though we do not see significance
for the decreasing week-1 FA, there is a clear trend towards lower values.
This also suggest that two weeks, rather than one, is a more optimal
time for the experiment.
Conclusion
DTI biomarkers promise real-time indicators in the
diagnosis and the monitoring of the disease. This study will help us to
discriminate not just damaged from non-damaged tissue but also capture early signs of damage.
Acknowledgements
Research reported in this manuscript was supported by the National
Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS) of
the National Institute of Health (NIH) under award numbers R21AR066897
and RO1 AR067789. The content is solely the responsibility of the
authors and does not necessarily represent the official views of the
NIH.References
[1]: Morel, V., Quinn, T.M., 2004. Cartilage injury by ramp compression near the gel diffusion rate. Journal of Orthopaedic Research
22, 145–151.
[2]:
Sarver, J.J., Robinson, P.S., Elliott, D.M., 2003. Methods for quasi-linear viscoelastic modeling of soft tissue: application to incremental stress-relaxation experiments. Journal of Biomechanical Engineering 125, 754–758.
[3]: Raya, J.G., Dettmann, E., Golestani, A., Block, K., 2013. In vivo DTI of articular cartialge at 3T with a spin echo radial
diffusion tensor imaging (raised) sequence, in: Proceedings of the 21st Annual Meeting of ISMRM, Salt Lake City.