Synopsis
Osteoarthritis is one
of the most common chronic diseases in the United States. Osteoarthritis is characterized by a decrease
in the proteoglycan content and disruption of the highly organized collagen
fiber network of articular cartilage.
Various quantitative magnetic resonance imaging techniques have been
developed for noninvasive assessment of the proteoglycan and collagen
components of cartilage. These
techniques have been extensively used in clinical practice to detect early
cartilage degeneration and in osteoarthritis research studies to monitor
disease-related and treatment-related changes in cartilage over time. This article will review the role of
quantitative magnetic resonance imaging in evaluating the composition and
ultra-structure of the articular cartilage of the knee joint.
Osteoarthritis
is one of the most common chronic medical conditions and is second only to
cardiovascular disease as the leading cause of disability in the United States (1-5).
Osteoarthritis may be due to idiopathic
or post-traumatic degeneration of articular cartilage. Characteristic changes in articular cartilage
occur during the disease process including a decrease in the proteoglycan content
and disruption of the highly organized collagen fiber network (6-11). Identifying the sequence of events which
occur during cartilage degeneration is essential for better understanding the
pathogenesis of osteoarthritis and developing improved treatment options. Quantitative magnetic resonance (MR) imaging
provides a non-invasive method to assess cartilage composition and
ultra-structure. This article will review
the role of quantitative MR imaging for evaluating the articular cartilage of
the knee joint which is one of the joints most commonly affected by osteoarthritis.
Cartilage
Composition and Function
Articular
cartilage is composed of chondrocytes, which comprise approximately 4% of the net
weight of the tissue, and an abundant extracellular matrix. The extracellular matrix of cartilage
consists primarily of water, comprising between 65% and 85% of its net weight, and
lower concentrations of proteoglycan and type II collagen (12, 13). Proteoglycan comprises 3% to 10% of the net
weight of cartilage and allows the tissue to withstand high compressive forces
during joint loading. Collagen comprises
15% to 20% of the net weight of cartilage and is responsible for the tensile
strength of the tissue (12, 13). Articular cartilage is devoid of lymphatics,
blood vessels, and nerves which limits its potential for healing and repair (13). Thus, preservation of the cartilage macromolecular
matrix is vital to joint health.
Sodium Imaging
Sodium
imaging can be used to assess the fixed charge density of articular
cartilage. Sodium-23 atoms are
associated with the negatively charged glycosaminoglycan side chains of
proteoglycan macromolecules within cartilage.
Decreased proteoglycan concentration within cartilage reduces the fixed
charge density which results in a decreased concentration of sodium ions. Thus, measurement of the sodium signal within
cartilage can provide sensitive and specific information regarding the
proteoglycan concentration of the tissue. Previous studies have reported strong
correlations between the sodium concentration within cartilage measured using sodium
imaging and nuclear magnetic resonance spectroscopy (20). Furthermore, the concentration of sodium
within both native and trypsin degraded ex-vivo cartilage samples measured
using sodium imaging has been shown to correlate strongly with proteoglycan concentration
(21-23).
Sodium
imaging is a promising method for evaluating articular cartilage but is
technically challenging. The signal from
sodium-23 atoms within cartilage is very low due to its low natural abundance
and its reduced gyromagnetic ratio. These
factors along with the very short T2 relaxation time of sodium-23 atoms make
measuring sodium concentration within cartilage extremely difficult. Two-dimensional and three-dimensional Cartesian-based
sequences have been used for sodium imaging, but scan times are very long even
when using high field strength 7.0T scanners (24-26).
Three-dimensional non-Cartesian-based techniques utilizing radial (27), cone (28), and twisted projection (29)
k-space trajectories have more recently been used to improve signal-to-noise ratio
(SNR) and reduce scan time for sodium imaging.
Additional
limitation of sodium imaging is the need for specialized transmit and receive
coils tuned to the resonance frequency of sodium-23 atoms and the difficulty in
differentiating sodium signal arising from articular cartilage and adjacent
tissues such as synovial fluid. Various
techniques have been developed to suppress sodium signal from synovial fluid
including the use of inversion recovery pulses (30, 31) and T1-weighted sequences with
short repetition times (32). With use of more SNR efficient three-dimensional
non-Cartesian-based imaging techniques and improved methods for suppressing synovial
fluid signal, sodium concentration within articular cartilage can be measured with
high repeatability and with reasonable scan times (33, 34).
Sodium imaging has been used in multiple studies to detect differences
in proteoglycan concentration between asymptomatic volunteers and patients with
osteoarthritis (32, 35) and to monitor changes in the proteoglycan
concentration of cartilage repair tissue
over time (26, 36, 37) (Figures 3 and 4).
Delayed Gadolinium Enhanced
Imaging (DGEMRIC)
Delayed
gadolinium enhanced imaging (dGEMRIC) measures the T1 relaxation time of
articular cartilage in the presence of gadolinium contrast. dGEMRIC can be used to indirectly assess the
fixed charge density of cartilage as the distribution of negatively charged
gadolinium contrast within cartilage is in theory indirectly proportional to
the concentration of negatively charged glycosaminoglycan side chains of
proteoglycan macromolecules. Decreased proteoglycan concentration within
cartilage allows accumulation of more gadolinium contrast which results in more
rapid T1 relaxation of adjacent water protons within cartilage.
There
is strong evidence to suggest that dGEMRIC can provide a sensitive and specific
measure of the proteoglycan concentration of articular cartilage. T1 relaxation time of both native and
enzymatically degraded ex-vivo cartilage samples in the presence of gadolinium
contrast has been shown to strongly correlate with the proteoglycan
concentration of cartilage (38-44).
dGEMRIC measurements have also been found to correlate strongly with the
compressive stiffness of cartilage which is primarily determined by the
proteoglycan concentration within the macromolecular matrix (45-47). Multiple studies have also shown that the T1
relaxation time of cartilage in the presence of gadolinium contrast is higher
in the deep than superficial layers of cartilage and on the weight-bearing than
non-weight-bearing surfaces of the knee joint which corresponds to the spatial
distribution of proteoglycan within cartilage (42, 45, 46).
DGEMRIC
requires the administration of a double dose of gadolinium contrast followed by
a 10 minute exercise period and then a 60 to 120 minute waiting period before
T1 relaxation time measurements can be performed (48, 49).
Administration of a triple dose of gadolinium contrast has been found to
improve the sensitivity of the technique for detecting early cartilage
degeneration (49).
Disadvantages of dGEMRIC include the long waiting time between contrast administration
and MR imaging which is inconvenient for patients and the risk of allergic
reactions and nephrogenic systemic sclerosis with use of ionic gadolinium
contrast (50, 51).
Initially, T1-relaxation time measurements were performed both prior to
and following the administration of gadolinium contrast, and the change in T1
relaxation time was used to assess cartilage composition (38-44, 48, 49, 52).
However, current dGEMRIC protocols typically measure T1-relaxation time
only following gadolinium contrast administration to reduce scan time as this
measurement has been shown to correlate strongly with both the change in T1
relaxation time (53) and the concentration of
proteoglycan within cartilage (38, 40).
T1-relaxation
time measurements of articular cartilage in dGEMRIC protocols were originally
performed using two-dimensional inversion recovery fast spin-echo and
three-dimensional inversion recovery spoiled gradient echo sequences with long
scan times (48, 49, 54).
More rapid three-dimensional techniques for T1 relaxation time
measurements including look-locker (55, 56) and variable flip angle (57, 58) methods with complementary flip
angle correction have recently been developed.
With use of these new techniques, T1 relaxation time measurement of
articular cartilage following gadolinium contrast administration can be
performed with high repeatability and in relatively short scan times (59-61).
However, dGEMRIC measurements within articular cartilage can be
influenced by the degree of cartilage loading (62).
Furthermore, the presence of gadolinium can have deleterious effects on
the accuracy of both T2 relaxation time (63)
and thickness measurements (64) of articular cartilage
dGEMRIC
has been used in multiple studies to detect changes in the proteoglycan concentration
of articular cartilage. Animal models of
osteoarthritis have shown a decreased T1 relaxation time of cartilage following
gadolinium contrast administration which correspond to areas of proteoglycan
loss on histological analysis (65, 66).
dGEMRIC has been shown to have high sensitivity for detecting surgically
and histologically confirmed early cartilage degeneration in human subjects (52, 67).
Studies have also found lower T1 relaxation times of cartilage following
gadolinium contrast administration in patients with higher radiographic grades
of knee osteoarthritis indicating greater proteoglycan loss in individuals with
more severe joint degeneration (68).
Decreased T1 relaxation time of articular cartilage after gadolinium
contrast administration has been reported in patients following anterior
cruciate ligament tear (69, 70) and meniscetomy (71) indicating that DGEMRIC can detect
early post-traumatic cartilage degeneration within the knee joint (Figure 5). DGEMRIC has also been used to monitor changes
in the proteoglycan concentration of cartilage following cartilage repair
procedures (37, 72-75).
T1-Rho Mapping
T1-rho
mapping uses a long-duration and low-power radiofrequency pulse applied to
magnetization in the transverse plane which effectively spin-locks the
magnetization around the B1 field and prevents T2 relaxation. T1-rho relaxation
time is the time constant of the exponential decay of magnetization during
application of the spin-lock pulse.
T1-rho relaxation time is influenced by low frequency molecular
interactions between water molecules and their local macromolecular environment
with water protons in close proximity to macromolecules having a greater
dissipation of energy during the spin-lock pulse than free water protons. T1-rho relaxation time is always longer than
T2 relaxation time as the B1 field attenuates the effects of bipolar
interactions, chemical exchange, and static dipolar coupling on signal decay (76, 77).
Initial
applications of T1-rho mapping consisted of single slice acquisitions through
articular cartilage (78, 79). Multi-slice T1-rho sequences were
later developed based upon multi-echo fast spin-echo (80) and spiral (81) imaging methods, but scan times
remained long. Various three-dimensional
T1-rho techniques are now available which combine a spin-lock pulse to create
T1-rho contrast with gradient-echo acquisition methods that utilize parallel
imaging to reduced scan time (82, 83).
These currently used three-dimensional techniques can measure the T1–rho
relaxation time of articular cartilage with high repeatability and in
relatively short scan times (84, 85).
However, a disadvantage of T1-rho imaging is the relatively large
radiofrequency power applied during the spin-lock preparation pulse which
creates problems with specific absorption rate and tissue heating especially
when using high filed strength scanners.
T-rho
relaxation time is influenced by low frequency molecular interactions between water
molecules and the cartilage macromolecular matrix (76). The exchange of protons between water
molecules and the hydroxyl and amine groups on the glycosaminoglycan side
chains of proteoglycan macromolecules is thought to be the primary mechanism
for T1-rho dispersion within cartilage (77). A strong correlation has been
found between the T1-rho relaxation time of cartilage and the fixed charge
density measured using sodium imaging (86). Multiple studies have also shown that the
T1-rho relaxation time of both native and enzymatically degraded ex-vivo
cartilage samples is strongly correlated with the proteoglycan concentration of
cartilage (87-90).
However, T1-rho relaxation time is not a specific measure of the
proteoglycan concentration of cartilage and is also influenced by other biological
changes which occur during cartilage degeneration (91, 92), the orientation of cartilage
relative to the main magnetic field (93), and the degree of cartilage
loading (94).
T1-rho
mapping has been used in multiple studies to detect changes in the macromolecular
matrix of articular cartilage in patients with osteoarthritis. The T1-rho relaxation time of cartilage has
been found to increase with age (95)
and early cartilage degeneration (96) (Figure 6). Studies
have shown that T1-rho relaxation time is more sensitive than T2 relaxation
time for detecting early cartilage degeneration in both ex-vivo specimens (97)
and human subjects (98, 99).
Texture analysis of the spatial distribution of T1-rho within cartilage has
been found to provide even better identification of early cartilage
degeneration than global T1-rho relaxation time measurements (100). Elevated T1-rho within cartilage in patients
with osteoarthritis has also been shown to predict the progression of cartilage
degeneration over time (101).
T1-rho
mapping has also been used to evaluate post-traumatic and post-surgical changes
in articular cartilage. Increased T1-rho
relaxation time in areas of acute cartilage injury have been reported in
patients with anterior cruciate ligament tear and have been shown to persist at
one year follow-up despite the resolution of underlying bone marrow edema (102-104). Studies have also found
significantly higher T1-rho relaxation time within the articular cartilage of the
medial compartment of the knee joint in patients with anterior cruciate
ligament injury when compared to asymptomatic volunteers at both one year and two year follow-up periods indicating the
presence of early post-traumatic cartilage degeneration (105, 106) (Figure 7). T1-rho mapping has also been used to monitor
changes in the macromolecular matrix of articular cartilage following cartilage
repair procedures (107, 108) (Figure 8).
T2 Mapping
T2
mapping measures the spin-spin relaxation time of articular cartilage. When dipoles are aligned in a static magnetic
field and a 90° radiofrequency pulse is applied, the dipoles absorb
energy. This absorption of energy makes
them unstable, and they start to relax back to equilibrium by dispersing energy
within the spin system itself or transferring it out of the spin system to the
lattice. The T2 relaxation time reflects
the time it takes the dipoles to disperse energy following excitation. (109)
The T2 relaxation time of cartilage is a
complex measurement which is influenced by multiple factors including water and
macromolecular concentration (110-113), organization of the collagen
fiber network (114-116), cartilage loading (117-119), and orientation of cartilage
relative to the main magnetic field (120).
Thus, changes in the T2 relaxation time
of cartilage may be difficult to interpret due to the multiple competing
biological and mechanical factors which influence the measurement.
The
highly organized macromolecular matrix of articular cartilage restricts the
motion of water molecules and enhances dipole-dipole interactions which shorten
the T2 relaxation time of cartilage. These dipole-dipole interactions are dictated
by the geometric factor 3cos2θ-1 of the z-component of the
electromagnetic field. Consequently,
when θ = 54.7°, the interactions go to zero, and an increase in T2 relaxation
time is observed which is referred to as the magic angle effect (120-125).
The magic angle effect in cartilage is thought to be due to the
orientation-dependent effect on the T2 relaxation time of water bound to
collagen (114, 115, 121, 126).
Thus, the T2 relaxation time of cartilage may provide information
regarding collagen fiber orientation and the integrity of the collagen fiber
network (115, 116, 126-129).
However, water bound to collagen has an extremely short T2 relaxation
time of approximately 2.2ms which cannot be directly measured using most T2
relaxation time techniques (130-135).
Therefore, the magic angle effect is likely influenced by interactions
between collagen-bound water and the other measurable water components, either
through water exchange or the influence of collagen fiber orientation on the
orientation of other cartilage constituents (120, 129).
The
exact relationship between the T2 relaxation time and chemical composition of articular
cartilage remains unknown with conflicting reports in the literature. Some
enzymatic degradation studies have shown that proteoglycan depletion of ex-vivo
cartilage samples using trypsin results in increased T2 relaxation time (112, 136), while other studies have found no
such change in T2 relaxation time with proteoglycan depletion (22, 88, 137).
Collagenase degradation of
ex-vivo cartilage samples has been shown to increase T2 relaxation time in one
study suggesting that collagen content may also influence the T2 relaxation time
of cartilage (137). Studies comparing the T2
relaxation time of articular cartilage with biochemical measurements of water,
proteoglycan, and collagen content have also reported inconsistent findings.
Some studies using human cartilage specimen obtained during total knee arthroplasty
have found an inverse correlation between the T2 relaxation time and the
proteoglycan content of cartilage (111, 113), while other studies using similar
methodology have found no such relationship (93). While increased hydration of
articular cartilage should theoretically lead to an increase in T2 relaxation
time, not all studies have shown a direct correlation between the T2 relaxation
time and water content of ex-vivo cartilage samples (110, 111).
T2
mapping techniques can measures the T2 relaxation time of articular cartilage
on a pixel-by-pixel basis by acquiring images at multiple echo times and
fitting the signal decay using a non-linear least squares algorithm (138). Originally, T2 mapping was performed using single-slice
two-dimensional spin-echo sequences with extremely long scan times (139). The introduction of fast spin-echo methods
have greatly improved the speed of T2 mapping, but the drawback of these
techniques is that slice-selective refocusing pulses can lead to stimulated echo
signal from the presence of non-rectangular slice select profiles caused by an
inhomogenous B1 field (140, 141). Three-dimensional spoiled gradient-echo
techniques have more recently been developed for T2 mapping which provide thin
continuous slices through articular cartilage and eliminates the need for slice-selective
refocusing pulses which reducing the risk of excess signal in and between
slices due to simulated echoes (142). Currently used techniques can measure the T2
relaxation time of articular cartilage with high repeatability and in
relatively short scan times (84).
However, the T2 relaxation time of cartilage is influenced by multiple
factors including the type of sequence, imaging parameters, and radiofrequency
coil used to obtain the measurement which is important to consider when performing
longitudinal or multi-center studies (142-144)
T2
mapping has been extensively used to evaluate the composition and
ultra-structure of articular cartilage in patients with osteoarthritis. The T2 relaxation time of cartilage has been
shown to increase with age especially in the superficial layer where senescent
changes tend to occur (145, 146).
T2 relaxation time has been shown to have high sensitivity for detecting
early cartilage degeneration in ex-vivo specimens (93) and human subjects (147-151) (Figure 9). Higher T2 relaxation
time of cartilage has also been reported in patients with increasing
radiographic grades of osteoarthritis (147). In addition, higher and more heterogeneous cartilage
T2 relaxation time has been noted in subjects with risk factors for
osteoarthritis when compared to asymptomatic volunteers despite both groups of individuals
having normal radiographs (152, 153).
Associations between higher cartilage T2 relaxation time and the
presence of cartilage lesions (153), meniscus tears (154), bone marrow edema lesions (155),
and knee pain (156) have been reported. Higher T2
relaxation time of articular cartilage has also been shown to predict the
progression of focal cartilage lesions within the knee joint in longitudinal
studies (157).
T2 mapping has also been used to
evaluate post-traumatic and post-surgical changes in articular cartilage. Studies have found elevated T2 relaxation
time within the posterior lateral tibial plateau in areas of acute cartilage
injury during the early phase after anterior cruciate ligament tear (102, 103) which persisted at both one year (102, 105) and two year (106) follow-up despite resolution of
adjacent bone marrow lesions. Longitudinal
follow-up in the same group of patients has demonstrated increased T2 relaxation
time within the central medial femoral condyle two years after injury with
higher T2 values in individuals with associated meniscus tears (105). Another cross-sectional study using
the healthy contralateral knee as a reference to the injured knee has shown
elevated cartilage T2 relaxation time within the medial femoral condyle six
month following anterior cruciate ligament reconstruction surgery (158). In addition, increased T2 relaxation time
within the articular cartilage of the tibial plateau has been reported in
patients with meniscus tears (159). T2 mapping has also been used to monitor
changes in the macromolecular matrix of articular cartilage following cartilage
repair procedures (160-164).
Restoration of the normal zonal stratification of T2 relaxation time
with increasing values from the deep to the superficial layers has been shown
to correspond to maturation of the cartilage repair tissue over time (161) (Figure 10).
Ultra-Short Echo Time
Imaging
Ultra-short
echo time (UTE) imaging can be used to investigate the short T2 components of
articular cartilage. Spin-echo and
gradient-echo techniques typically used for cartilage imaging have minimum echo
times ranging between 2ms and 10ms and thus cannot detect signal from water
protons in the deep and calcified zones of cartilage where highly organized
collagen fibers contribute to very short T2 relaxation times (171).
UTE imaging utilizes echo times as short as 0.08ms which can capture
signal from the short T2 components of cartilage. However, UTE imaging assesses
effective T2 relaxation time (T2*) which is influenced by tissue susceptibility
and magnetic field inhomogeneity along with the T2 relaxation characteristics
of cartilage.
Various
UTE techniques have been used for evaluating articular cartilage. Most two-dimensional UTE sequences use a
radial k-space trajectory with a half excitation pulse followed by another half
excitation pulse with the polarity of the slice selection gradient reversed (165, 166).
Three-dimensional UTE sequences typically use a short hard pulse
excitation followed by three-dimensional ramp sampling (167, 168).
Conspicuity of the short T2 components on UTE images can be enhanced by
suppressing signal from fat and long T2 components through use of saturation or
inversion nulling techniques (167, 169, 170). Quantitative assessment of articular
cartilage using UTE T2* mapping can be performed by acquiring images with
multiple echo times, with the lowest being 0.5ms or less, and fitting the
signal decay using a single-component (171, 172) or bi-component model (173, 174).
UTE
imaging has identify distinct linear signal intensity at the bone-cartilage
interface which has been shown to correspond to the deepest layer of cartilage
and the calcified zone of cartilage on histologic analysis (175) (Figure 11). These deep regions
within cartilage, which have a T2* relaxation time of 1.3ms (171), may play a role in the
pathogenesis and progression of osteoarthritis (176).
UTE T2* relaxation time has been shown to decrease with cartilage degeneration (172). It has been speculated that the
lower UTE T2* relaxation time in degenerative cartilage is due to loss of water
trapped between collagen fibers secondary to collagen denaturation which
results in a greater fraction of short T2 components that contribute to an
overall decreased T2* value of cartilage. UTE T2* relaxation time has also been
found to have higher sensitivity than T2 relaxation time for distinguishing
between healthy and degenerative cartilage due to its ability to assess the
short T2 components within the deepest layers of the tissue where cartilage
degeneration may occur (172).
Bi-component UTE T2* mapping has identified two
distinct T2* components within articular cartilage, a short component with a
T2* relaxation time between 1ms and 6ms which corresponds to macromolecular
bound water and a long component with a T2* relaxation time of approximately
22ms which corresponds to bulk water (173, 174).
Whether the short T2* component corresponds exclusively to collagen
bound water (174) or to water bound to both collagen
and proteoglycan remains unknown (177).
Enzymatic degradation of
cartilage has been shown to cause a decrease in the short T2* relaxation time
with no change in the long T2* relaxation time (174).
However, another study comparing UTE T2* parameters with histology and
polarized light microscopy has found that cartilage degeneration has no
influence on the short T2* relaxation time but increases the long T2*
relaxation time. This study has also shown that the fraction of the short T2
component has the strongest correlation with the degree of cartilage
degeneration and disruption of the collagen fiber network (177).
It has been speculated that the higher fraction of the short T2
component in degenerative cartilage is due to disruption of the collagen fiber
network which results in increased surface area on the collagen fiber for water
binding. However, further studies are
needed to better understand the mechanisms responsible for changes in UTE T2* parameters
at various stages of cartilage degeneration.
Magnetization Transfer
Imaging
Magnetization
transfer (MT) imaging can be used to assess the macromolecular matrix of
articular cartilage by measuring the magnetization exchange between free water and
macromolecular bound protons. Protons
bound to the cartilage macromolecules matrix have a much broader absorption
line shapes than free water protons and can be preferentially saturated using
an off-resonance radiofrequency pulse. The
saturated macromolecular bound protons undergo magnetization exchange with free
water protons through chemical exchange or dipole-dipole interactions which reduces
the longitudinal magnetization of the free water protons available to generate
signal during MR imaging (178).
Magnetization
transfer ratio (MTR) measures the change in signal intensity of articular
cartilage on MR images acquired with and without an off-resonance radiofrequency
pulse. MTR has been found to be primarily influenced by the content and
molecular structure of collagen within cartilage (179-181).
However, MTR is not specific measure of collagen within cartilage and is
also influenced by other factors including the T1-relaxation time (182) and proteoglycan content (179) of the tissue. MTR measurements are also highly dependent on
experimental parameters and vary across scanners, transceiver, and scanned
objects even when using the same imaging protocol. Studies have shown that MTR is
relatively insensitive for detecting early cartilage degeneration in human subjects
(183).
However, the technique has been found useful for monitoring changes in
the macromolecular matrix of articular cartilage following cartilage repair
procedures (164).
Chemical
exchange saturation transfer (CEST) imaging is another technique which
investigates the exchange of magnetization between free water and macromolecular
bound protons within articular cartilage.
In CEST imaging, the exchangeable proton spins on the hydroxyl groups on
the glycosaminoglycan side chains of proteoglycan are selectively saturated
with an off-resonance pulse, and the saturation effect is transferred to free
water protons through magnetization exchange.
The change in the signal measured in the free water pool is directly
proportion to the number of macromolecular bound protons being saturated and
hence the concentration of proteoglycan within cartilage (184). A strong correlation between CEST and sodium
values within both health cartilage and cartilage repair tissue has been
reported which suggests that CEST imaging can be used to assess the fixed
charge density of cartilage (185)
CEST imaging has been
performed at 3.0T and 7.0T in reasonable scan times using three dimensional
gradient-echo sequences (184-186).
Disadvantages of CEST imaging include the need to achieve high magnetic
field homogeneity and the inadvertent suppression of water signal with the
off-resonance pulse which is especially problematic when using lower strength 3.0T
scanners (187). The clinical applications of CEST imaging for
evaluating articular cartilage remain largely unknown. One study has reported a decrease in CEST
values of cartilage repair tissue when compared to healthy cartilage (188) (Figure 12). However, little additional work has been
performed to correlate CEST measurements with the concentration of proteoglycan
within cartilage or to determine the feasibility of using the technique to investigate
cartilage degeneration and acute cartilage injury in human subjects.
Diffusion Imaging
Diffusion
imaging is performed with use of two diffusion sensitive gradients with the
same area but opposite polarity. The paired gradients dephase magnetization
from water protons which have undergone diffusion during the time delay between
the pulses which results in signal attenuation.
The degree of signal attenuation is directly proportional to the amount
of diffusion of water protons which is quantified as the apparent diffusion coefficient
(189). Diffusion imaging of articular cartilage was
originally performed using two-dimensional sequences (189). Three-dimensional steady-state techniques
were later developed to provide higher SNR when imaging the short T2 components
of cartilage (190). A three-dimensional method has
recently been developed using two modified dual-echo in the steady-state scans
acquired with different flip angles and spoiler gradient areas which can simultaneously
measure T2 relaxation time and apparent diffusion coefficient with the added
benefit of high quality source images to assess cartilage morphology (191) (Figure 13). Diffusion tensor imaging can assess the
directional components of the diffusion pathway by applying several
diffusion-sensitive gradient pairs in different directions and can measure both
apparent diffusional coefficient and fractional anisotropy (192, 193).
Fractional anisotropy allows determination of the main direction of
local diffusion of water protons which can provide information regarding cartilage
ultra-structure.
Diffusion
imaging has been used to evaluate the composition and ultra-structure of
articular cartilage. Studies using
enzymatic degradation of ex-vivo cartilage specimens have shown changes in
apparent diffusion coefficient with proteoglycan depletion (194-196) and changes in both apparent
diffusion coefficient and fractional anisotropy with collagen depletion (195). Fractional anisotropy has been found to
correlate strongly with the orientation of the collagen fiber network assessed using
polarized light microscopy and electron scanning microscopy (194, 197, 198).
Apparent diffusion coefficient and fractional anisotropy have also been
shown to be highly sensitive for detecting early cartilage degeneration in both
ex-vivo (199) and in-vivo (200) studies. Diffusor tensor imaging
has the unique advantage of simultaneously assessing the proteoglycan and collagen
components of articular cartilage in a single scan. However, diffusion tensor imaging is technically
challenging to perform on the human knee joint in-vivo due to the need for high
spatial resolution and thin slices and typically requires the use of high field
strength scanners and custom made coils to maximize SNR efficiency.
Acknowledgements
No acknowledgement found.References
No reference found.