Dragana Savic1,2, Valentina Pedoia1, Youngho Seo1, Matthew Bucknor1, Benjamin Franc1, and Sharmila Majumdar1
1University of California San Francisco, San Francisco, CA, United States, 2University of Oxford, Oxford, United Kingdom
Synopsis
This first in human study evaluated cartilage
biochemistry and bone function in sixteen knee osteoarthritis patients using simultaneous
Time-Of-Flight (TOF) PET/MR imaging. Bone turnover and blood flow was studied using 18F Sodium
Fluoride (NaF) and quantitative voxel by voxel MR derived T1ρ relaxation times characterizing the biochemical cartilage degeneration.
Increased degeneration of cartilage, was associated with increased turnover in the adjoining bone as well as in the non-adjoining compartments. These observations highlight the complex
biomechanical and biochemical interactions in the whole knee joint, alluding to
a “bone-cartilage connectome”, that potentially changes during the natural
history of the disease.
Purpose
Osteoarthritis (OA) is a degenerative joint disease and one
of leading causes of chronic disability in the world. It is suggested that in addition
to degeneration of the cartilage, changes are also seen in the adjoining
subchondral and trabecular bone. Articular cartilage and subchondral bone act
in concert with regards to the mechanical loading of the joint and the
subchondral mineralized zone is recognized to play an important role in
reducing the axial impact forces typically encountered during dynamic joint
loading and adapts to the mechanical demands during normal and
abnormal joint loading. However, to date there is no quantitative evidence that
suggest that both changes in the bone and the cartilage are interlinked. We
performed the first-in-human study analyzing cartilage biochemistry and its
interactions with the bone function across the entire joint in patients with
knee osteoarthritis using state-of-the-art simultaneous time-of-flight (TOF)
Positron Emission Tomography/Magnetic Resonance (PET/MR) (GE Healthcare, USA) imaging.
Method
Sixteen knee osteoarthritis patients (Age:
57±8.6 years, BMI: 25.0±3.8
kg/m
2, 69 % male, KL = 0-3) received intravenous injections
of
18F-NaF (9.1±0.9 mCi) at the onset of the PET/MR scan. Dynamic PET and
quantitative MR images were acquired for 60-minutes followed by a 30-minute
break and a static PET/MR scan was acquired for 10 minutes, resulting in a 90-minute
post injection scan. An 8-channel medium size flex coil was used (GE
healthcare) due to minimal attenuation for the PET signal.
The MRI protocol included 3D FSE (CUBE), a
quantitative combined T
1ρ/T
2 as well as MRA
opt for fusion with PET images. PET was acquired in list mode for 60-minutes and
dynamic multi-frames were reconstructed using an iterative algorithm. Irreversible
two-tissue kinetic model was used to derive Slope K
i,
influx rate constant using the dynamic data. Maximum Standardized Uptake Values
[SUV
max normalized by body weight] were examined in bone regions located adjacent to the cartilage using
the static data (90-minute post injection scan). An
atlas-based registration technique was used to obtain
voxel-based T
1ρ maps and statistical parameter mapping
was used to investigate the relationship (Pearson correlation) between bone and
cartilage in the entire knee joint after adjusting for age, gender, BMI and
KOOS scores.
Results
Bone remodelling (i.e., uptake of
18F-NaF)
and cartilage biochemistry (T
1ρ) at
each voxel were examined across the knee joint and correlations or connectivity
between the two metrics were highly correlated not just in adjacent bone and
cartilage, but in non-adjacent cartilage compartments
(Table 1). The Slope K
i of NaF in medial tibia (MT) is highly correlated with
T
1ρ in 10.1 % of the voxels (R=0.68,
p = 0.027) (Fig. 1A) and with 14.1 % of the voxels in patella (P) (R = 0.64, p
= 0.022), and smaller areas of correlations are found in other cartilage
compartments. SUV
max in lateral tibia (LT) is highly correlated with
T
1ρ in
20.6 % of the voxels in LT (R = 0.74, p = 0.007) (Fig. 1B), in 27.5 % of the
voxels in lateral femural condyle (LFC) (R = 0.77, p = 0.007), and in 10.3 % of the voxels in P (R =0.7,
p 0.018), and smaller correlations are found in other cartilage compartments.
SUV
max in P is negatively correlated with T
1ρ in 3.7% of the
voxels in P (R = -0.54, p = 0.035) (Fig. 1C), furthermore a positive
correlation is seen in a more focal region in the bone layer of the cartilage
of P (Fig 1C). SUV
max in P is also highly correlated with T
1ρ in 16.4 % of the voxels in the cartilage of
TrF (R = -0.68, p = 0.013) (Table 1).
Discussion
and Conclusion
A direct relationship was seen between early degenerative changes using
MRI and bone remodelling and bone blood flow using PET imaging. Not
only did the adjoining bone to cartilage show interactions, but also bone
regions further away from the cartilage, this we name the “Bone-Connectome”. A
trend for higher uptake was seen in patients with pain compared to
patients without pain (p < 0.1), but only when no lesions were observed on the MR (data
not shown). Correlations of standardized uptake values obtained from static PET
acquisitions and kinetic uptake rate obtained from dynamic acquisition was seen
to correlate. Considering the knee joint as a whole we successfully
demonstrate the relationship between early cartilage biochemical degeneration,
bone remodelling in adjoining and non-adjoining regions, this provides important
information for understanding the pathophysiology of OA, as well as elucidating
the natural history of the disease and in assessing therapeutic targets in the
treatment of OA.
Acknowledgements
• We would like to
thank, Melissa Guan, Vahid Ravanfar, and Dan Vigneron PhD for their tremendous help with this study and for the endless
discussions.
• GE
research funding and P50 - P50AR060752
References
1. Li, X. et al. In
vivo T(1rho) and T(2) mapping of articular cartilage in osteoarthritis of the
knee using 3 T MRI. Osteoarthritis Cartilage 15, 789–797 (2007).
2. Pedoia, V., Li, X., Su, F.,
Calixto, N. & Majumdar, S. Fully automatic analysis of the knee articular cartilage T1ρ relaxation time using voxel-based relaxometry. J. Magn.
Reson. Imaging (2015).