Jason Matakas1, Steven Shamah1, Esther Rong1, Jenna Le1, Karen Sperling1, Can Wu2, and Qi Peng1
1Department of Radiology, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, NY, United States, 2Memorial Sloan Kettering Cancer Center, New York, NY, United States
Synopsis
Osteoarthritis (OA) is a
leading cause of disability characterized by proteoglycan loss and collagen
matrix disruption in the cartilage. Quantitative T1ρ and T2 mapping obtained
in a static setting have been proposed to detect the biochemical changes
associated with OA, which however lack the functional information of the cartilage. We here present a
novel dynamic approach to elucidate biochemical recovery of knee cartilage after
stair-climbing exercise with high-spatiotemporal-resolution simultaneous 3D T1ρ
and T2 mapping. It could serve as an innovative, clinically feasible imaging biomarker
to evaluate both biochemical and functional properties of cartilage for early OA
diagnosis and prognosis.
Introduction
Osteoarthritis (OA) is a leading cause of disability. It is
characterized by proteoglycan loss and collagen matrix disruption in the
cartilage. The
biomechanical function of cartilage is tightly correlated with its structural
and compositional properties.1 Therefore,
functional evaluation of biomechanics of cartilage, elucidated by noninvasive
imaging, can serve as a unique biomarker for early cartilage degeneration
detection.2, 3 Quantitative T1ρ and T2 MRI have
been shown to detect the biochemical changes such as proteoglycan loss and
collagen matrix disintegration. However, these methods are limited to studying
cartilage in a static setting because of long scan times and low spatial
resolution needed. Therefore, the biomechanical function status of the
cartilage cannot be determined to improve sensitivity of early cartilage injury
detection. In this study, we present an innovative dynamic
3D-MRI method for observing early cartilage defects leading to OA. With this
method, we can visualize biochemical responses in knee cartilage post-exercise achieved
by combining T1ρ and T2 acquisitions in a dynamic sequence to evaluate transient
cartilage recovery with high spatiotemporal resolution. Methods
Six (5 male, 1female) healthy volunteers, ages
27-33, with no history of knee conditions
were recruited. Subjects avoided strenuous activity for 24 hours, prior to 20
min of stair-climbing activity. Subjects
were immediately scanned (<2.5 min post-exercise) on
a 3T MR scanner (Philips Ingenia) with a 1Tx/16Rx knee coil. Both adiabatic T1ρ
and T2 mapping were integrated into a single MAPSS sequence using an unpaired phase cycling
scheme to improve imaging speed.4-6 The sequence schematic is shown in Figure
1. The adb-T1ρ
preparation had adiabatic RF pulse shape HS1, B1max
= 26.19µT, ωmax=1.27kHz, and R=6.7 The adb-T1ρ and
T2 preparations had five 3D acquisitions with TSL = 0+, 96+, 96- ms and TE
= 40+, 40- ms acquired in an interleaved fashion with alternating
phase-cycling, sharing the same TSL/TE=0ms acquisition.4, 5 Other parameters
included Tsr=2.5s, TI=1480ms (for synovial fluid suppression),8 and GRE readout train length=128. The 3D dynamic sequence had ~1 min temporal
resolution with 0.4×0.7×4mm3 spatial
resolution for ~25 minutes. Dynamic T1ρ and T2 maps were generated
simultaneously using a moving window along the dynamic (temporal) direction
after motion correction using
Elastix.5 Regions-of-interest
(ROIs) were manually drawn on superficial and deep layers of the lateral and
medial central weight-bearing tibial cartilages. The post-exercise T1ρ and T2
relaxation recovery time-courses were compared between lateral and medial
articular surfaces. The recovery curves of two apparent focal arthritic lesions,
both identified on medial cartilage from two participants identified from the
T2 maps, were also compared with those of normal control cartilage areas to demonstrate
the difference in recovery dynamics. The relaxation time recovery was modeled with linear
regression with recovery rate defined as the slope.Results
In healthy cartilage, T1ρ and T2 relaxation times generally
demonstrated minimal or no appreciable recovery within 30 min post exercise (Figure
2). In addition, the cartilage superficial layer demonstrated higher T1ρ recovery rates than the deep layer,
and the medial compartment higher than the lateral compartment (0.43 vs 0.04
ms/min) (Table 1). The apparent focal arthritic lesions
had much higher overall T1ρ (2.00 vs 0.43 ms/min) and T2 (1.09
vs 0.11 ms/min) recovery rates when compared with adjacent healthy cartilage,
respectively. T1ρ rates of lesions were markedly different from those
of normal cartilages (Table 2). Figure 3
shows the results of
the medial tibial compartment of one of these two volunteers. The T1ρ time course of this lesion
demonstrated an initially linear rise in T1ρ, followed by a plateau after ~23 min.
Adiabatic T1ρ maps had much higher
dynamic range than T2 mapping, potentially leading to higher sensitivity for
post-exercise change. Note that the size of the focal lesions shown on
the T1ρ maps was much larger than on the T2 maps, indicating that the
adb-T1ρ contrast offers different or complementary information to T2
contrast, such as on PG content and collagen structure integrity. Discussion
Our goal of this
pilot study was to explore how post-exercise quantitative dynamic MRI could
demonstrate both biochemical and functional properties of cartilage tissue that
might provide more information about cartilage status to complement purely
static T1ρ- or T2-mapping MRI. For the first time, DynOA-MRI's high temporal
(0.4×0.7×4mm3) and spatial resolution (51sec/volume for 26 mins) enabled
assessment of immediate post-exercise cartilage recovery of T1ρ and T2 values. Both
T1ρ and T2 values in the evaluated superficial cartilages recovers
approximately linearly in the first ~23 min and then plateaus afterwards. Additionally,
the apparent focal arthritic lesions showed much larger magnitude of changes
compared to the normal cartilages. Notably, T1ρ and T2 recovery curves of
cartilage in all the subjects differed from the response of adjacent muscles,
whose T1ρ and T2 values exponentially decayed to their equilibria (data not
shown). Dynamic MRI to follow changes in the
cartilage after exercise is likely more sensitive in visualizing early damage, prior to irreversible degeneration. This would
enable earlier and more effective treatments.Conclusion
This pilot study demonstrates the feasibility of
using T1ρ and T2 relaxation recovery rates obtained immediately post-exercise as
novel quantitative biomarkers for early OA diagnosis.Acknowledgements
No acknowledgement found.References
1. Saarakkala
S, Julkunen P, Kiviranta P, et al. Depth-wise progression of osteoarthritis in
human articular cartilage: investigation of composition, structure and
biomechanics. Osteoarthritis Cartilage. 2010;18(1):73-81.
2. Hatcher CC, Collins AT, Kim SY, et
al. Relationship between T1rho magnetic resonance imaging, synovial fluid
biomarkers, and the biochemical and biomechanical properties of cartilage. J
Biomech. 2017;55:18-26.
3. Heijink A, Gomoll AH, Madry H, et
al. Biomechanical considerations in the pathogenesis of osteoarthritis of the
knee. Knee Surg Sports Traumatol Arthrosc. 2012;20(3):423-435.
4. Peng Q, Wu C, Kim J, et al.
Efficient Phase Cycling Strategy for High Resolution 3D GRE Quantitative MRI
Mapping. NMR in Biomedicine. 2021;Under Review.
5. Peng Q, Wu C. High Spatial
Resolution Simultaneous Quantitative T1rho and T2 Mapping at 3T. AAPM Annual
Meeting. 2021.
6. Li X, Han ET, Busse RF, et al. In
vivo T(1rho) mapping in cartilage using 3D magnetization-prepared
angle-modulated partitioned k-space spoiled gradient echo snapshots (3D MAPSS).
Magn Reson Med. 2008;59(2):298-307.
7. Wu C, Peng Q. 3D MAPSS T1ρ Mapping
with Adiabatic Spin-Locking RF Pulses for Knee and Brain at 3T. Proc Intl Soc
Mag Reson Med 29. 2021.
8. Peng
Q, Wu C, Li X, et al. Improved 3D T1rho and T2 Mapping with Synovial Fluid
Suppression for the Knee Cartilage on 3T. Proc Intl Soc Mag Reson Med 26.
2018:5056.