Kirstin D Olsen1, Lumeng Cui1, Brennan E Berryman2, Ives R Levesque3, and Emily J McWalter2
1Biomedical Engineering, University of Saskatchewan, Saskatoon, SK, Canada, 2Mechanical Engineering, University of Saskatchewan, Saskatoon, SK, Canada, 3Medical Physics, McGill University, Montreal, QC, Canada
Synopsis
The objective of this research
was to determine if quantitative magnetization transfer (qMT) MRI can assess
knee meniscus tissue health. Cadaver knee menisci underwent qMT assessment,
biochemical content assessment, and histological scoring. Weak correlations
were found between T1f and collagen content, T1f and
histology score, and the histology scores and T2f and T2b.
A moderate correlation was found between T2f and collagen content. qMT
shows promise as a measure of meniscal tissue health but future studies with
more severely damaged tissue are required to elucidate relationships between
qMT and measures of meniscal content and health.
Introduction
The meniscus plays an essential role
in knee joint health and function. With joint diseases such as osteoarthritis,
macromolecular structure degrades, and meniscus function is compromised. Quantitative
magnetization transfer (qMT) MRI is particularly well suited to study meniscus
in healthy and diseased states because it probes protons bound to
macromolecules (which in meniscus is predominantly proteoglycans and collagen)
and free protons within the tissue. We expect to see changes in qMT parameters
with degradation in the meniscus. Previous studies in cartilage showed moderate correlations between qMT
parameters and biochemical properties1 and differences between osteoarthritis
patients and healthy individuals2; but only proof of concept has
been shown in the meniscus3. The use of qMT in the meniscus requires
further validation. The objective of this work is to identify correlations
between qMT parameters f (bound water fraction), k (magnetization exchange
rate), T2b (T2 relaxation time of the bound pool), T2f
(T2 relaxation time of the free pool), and T1f (T1
relaxation time of the free pool) and proteoglycan content, collagen content, and
histological score of human cadaver menisci.Methods
Six cadaver knees with no history of injury or
surgery (3 males, 3 females, mean age 70.3 ± 9.3) were scanned in situ at 3T
(MAGNETOM Skyra, Siemens, Erlangen, Germany) using an in-house spoiled
gradient-recalled echo (SPGR) sequence with pulsed off-resonance saturation for
MT contrast and an 18-channel flexible receive coil. The protocol included 10
MT-SPGR scans (five offset frequencies: 433, 1087, 2732, 6862, 17235 Hz, at two
flip angles: 142˚ and 426˚) and one (MT-disabled) SPGR scan, all with field of
view=160×160mm2,
TR/TE=48/3ms, matrix size=256×256, and slice thickness=3mm. B1 (assessed
using a standard double angle technique4) and T1 (obtained
with driven equilibrium single pulse observation of T1 (DESPOT1)5)
maps were acquired for correction and qMT-modeling, respectively. B0
correction was not performed because of the small variation in B0
across the meniscus. By assuming T1
of the bound pool (T1b) to be 1 s and using the T1 maps, a
two-pool model of MT with Gaussian lineshape was fit and used to estimate qMT
parameters6-8. After scanning, menisci were dissected, and a 4 mm
biopsy punch was used to procure cylindrical samples for biochemical analysis. Menisci
were cut radially into seven roughly equal pieces and every second used in
histological analysis representing anterior, central, and posterior regions. Cylindrical
samples were weighed, vacuum dried, weighed to determine liquid content, and
digested using proteinase K. Proteoglycan and collagen content were assessed
using a dimethylmethylene blue (DMMB) assay (sulfated GAG as surrogate) and
hydroxyproline assay kit (Sigma Aldrich, MAK008), respectively. Radial pieces were
fixed, paraffin embedded, sectioned, stained using an established safranin
O/fast green protocol9, then scored with a modified meniscus
specific histology scoring system10. qMT, biochemistry, and
histology data were registered using a custom image processing pipeline and
relationships identified using a Pearson product moment correlation for
biochemical properties and Spearman’s correlation test for histological scores (SPSS,
Chicago, IL, USA). Results
Mean qMT and biochemical results were obtained
for the menisci of the six specimens and 70 cylindrical samples, respectively
(Table 1). Histological scoring was obtained for 161 sections (Table 2). Significant
correlations of r=0.318 (p < 0.01) and r=0.424 (p < 0.01) were found between
collagen per wet mass (WM) and T1f and T2f relaxation
times, respectively (Figure 1). Significant correlations of ρ=-0.232 (p<0.05), ρ=-0.277 (p<0.01), and ρ=-0.207 (p<0.05) were found between total histological score and T1f,
T2f, and T2b relaxation times, respectively. No
significant correlations were observed between any tissue properties measured
and f or k.Discussion
Average values for qMT parameters align with
previous results in the meniscus3, except T2b relaxation
time in which our values were higher. This is very likely due to differences in
the fitting algorithm; we used a Gaussian lineshape as it consistently resulted
in slightly better fits than the super-Lorentzian lineshape (r2=0.91±0.03 and r2=0.89±0.03, respectively). Of note, there was a difference in k due to
this choice; however, use of a Gaussian lineshape for qMT modeling has been reported
for soft tissues7. Further studies should be done to determine which
lineshape is most appropriate for the meniscus. In general, the meniscus had
higher f, lower k, and higher T2b as compared to articular cartilage
values in literature1,2. The correlation strengths observed may be
limited by the small range of tissue health in our samples. From the
histological scoring, it can be noted that health of the cadaver specimens was relatively
homogeneous (over 90% of samples had a histological grade of 1 or 2), and this
may be why stronger correlations were not observed. The correlations observed
indicate that the qMT parameters appear to be more related to the state
(histology) and collagen content rather than amount of proteoglycan (sGAG). Future
studies including more diseased tissue will elucidate relationships between qMT
parameters and biochemical content and histological scores in the meniscus.Conclusion
Preliminary
findings suggest that qMT may be useful for assessing meniscus health, however,
further work using tissues with greater variation in disease state is required
to better characterize the qMT – tissue health relationship.Acknowledgements
The authors
would like to acknowledge The Arthritis Society Young Investigator Operation
Grant, Natural Sciences and Engineering Research Council Discovery Grant,
MITACS Accelerate, Siemens Healthineers, and University of Saskatchewan
Devolved Scholarship Program.References
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