Imaging Bone-Cartilage Interactions in Osteoarthritis Using [18F]-NaF PET-MRI

Dragana Savic, Valentina Pedoia, Youngho Seo, Jaewon Yang, Matt Bucknor, Benjamin L Franc, Sharmila Majumdar, Dragana Savic, Valentina Pedoia, Youngho Seo, Jaewon Yang, Matt Bucknor, Benjamin L Franc, Sharmila Majumdar

Abstract

Purpose: Simultaneous positron emission tomography-magnetic resonance imaging (PET-MRI) is an emerging technology providing both anatomical and functional images without increasing the scan time. Compared to the traditional PET/computed tomography imaging, it also exposes the patient to significantly less radiation and provides better anatomical images as MRI provides superior soft tissue characterization. Using PET-MRI, we aim to study interactions between cartilage composition and bone function simultaneously, in knee osteoarthritis (OA).

Procedures: In this article, bone turnover and remodeling was studied using [18F]-sodium fluoride (NaF) PET data. Quantitative MR-derived T1ρ relaxation times characterized the biochemical cartilage degeneration. Sixteen participants with early signs of OA of the knee received intravenous injections of [18F]-NaF at the onset of PET-MR image acquisition. Regions of interest were identified, and kinetic analysis of dynamic PET data provided the rate of uptake ( Ki) and the normalized uptake (standardized uptake value) of [18F]-NaF in the bone. Morphological MR images and quantitative voxel-based T1ρ maps of cartilage were obtained using an atlas-based registration technique to segment cartilage automatically. Voxel-by-voxel statistical parameter mapping was used to investigate the relationship between bone and cartilage.

Results: Increases in cartilage T1ρ, indicating degenerative changes, were associated with increased turnover in the adjoining bone but reduced turnover in the nonadjoining compartments. Associations between pain and increased bone uptake were seen in the absence of morphological lesions in cartilage, but the relationship was reversed in the presence of incident cartilage lesions.

Conclusion: This study shows significant cartilage and bone interactions in OA of the knee joint using simultaneous [18F]-NaF PET-MR, the first in human study. These observations highlight the complex biomechanical and biochemical interactions in the whole knee joint in OA, which potentially could help assess therapeutic targets in treating OA.

Keywords: PET-MRI; T1ρ relaxation times; bone remodeling; bone–cartilage interactions; cartilage degeneration; knee osteoarthritis; multimodality imaging; sodium fluoride imaging; voxel-by-voxel statistical parameter mapping.

Conflict of interest statement

Declaration of Conflicting Interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Figures

Figure 1.
Figure 1.
Voxel-based T1ρ maps. An atlas-based voxel-by-voxel T1ρ map that shows regions in the medial tibia (MT), the medial femur (MF), patella (P), and in the trochlea (TrF). The T1ρ color maps are overlaid on a gray scale magnetic resonance (MR) image and the color bar represents relaxation times from 0 ms (blue) to 70 ms (red).
Figure 2.
Figure 2.
Correlations between quantitative and semiquantitative positron emission tomography (PET) measures. A, PET-magnetic resonance (MR) fused image in the lateral and medial side of the knee. Bone compartments are showed as regions of interest (ROIs) in the lateral and medial side of the knee in compartments—patella (P), trochlea (TrF), lateral femur (LF), lateral tibia (LT), medial femur (MF), medial tibia (MT). B and C, Correlations between NaF uptake at 60 minutes (standardized uptake value [SUV]) in all bone compartments plotted with the uptake rate (Ki) in the same compartments. SUVavg and SUVmax have high correlations with slope Ki (R2 = .71 and 0.69).
Figure 3.
Figure 3.
Voxel-based T1ρ maps from the cartilage correlated with slope Ki from the bone of the medial tibia (MT). The color map represents the Pearson correlation R values representing positive and negative correlations. The right side shows the scatterplots of the average value of the voxels in white dashed boxes from the magnetic resonance (MR) images. The ellipse illustrates the 95% confidence interval. (Top) Anterior MT cartilage shows a strong positive correlation with the slope Ki from MT bone (R = .68, P = .0014). (Middle) The patella cartilage shows a strong positive correlation with slope Ki from MT bone (R = .75, P = .0045). (Bottom) The trochlea (TrF) cartilage shows a moderate negative correlation with slope Ki from MT bone (R = −.48, P = .066).
Figure 4.
Figure 4.
Voxel-based T1ρ maps from the cartilage correlated with standardized uptake value (SUVmax) in the bone of the patella (P). The color map represents the Pearson correlation R values representing positive and negative correlations. The right side shows the scatterplots of the average value of the voxels in white dashed boxes from the magnetic resonance (MR) images. The ellipse illustrates the 95% confidence interval. (Top) The bone layer of the P cartilage shows a moderate positive correlation with SUVmax from the P bone (R = .42, P = .10). (Middle) The articular layer of the P cartilage shows a moderate negative correlation with SUVmax from the P bone (R = −.50, P = .048). (Bottom) The trochlea (TrF) cartilage shows a strong negative correlation with SUVmax from the P bone (R = −0.72, P = .002).
Figure 5.
Figure 5.
Voxel-based T1ρ maps from the cartilage correlated with standardized uptake value (SUVmax) from lateral tibia (LT) bone. The color map represents the Pearson correlation R values representing positive and negative correlations. The right side shows the scatterplots of the average value of the voxels in white dashed boxes from the magnetic resonance (MR) images. The ellipse illustrates the 95% confidence interval. (Top) The cartilage of the lateral tibia (LT) shows a strong positive correlation with SUVmax from the LT bone (R = .74, P = .0042). (Middle) The cartilage in the posterior lateral femur shows a strong positive correlation with SUVmax from the LT bone (R = .71, P = .0062). (Bottom) The cartilage in the medial femur (MF) shows a strong negative correlation with SUVmax from the LT bone(R = −.61, P = .012).

References

    1. Lawrence RC, Felson DT, Helmick CG, et al. ; National Arthritis Data Workgroup. Estimates of the prevalence of arthritis and other rheumatic conditions in the United States. Part II. Arthritis Rheum. 2008;58(1):26–35.
    1. Lawrence RC, Helmick CG, Arnett FC, et al. Estimates of the prevalence of arthritis and selected musculoskeletal disorders in the United States. Arthritis Rheum. 1998;41(5):778–799.
    1. World Health Organization. Global Economic and Healthcare Burden of Musculoskeletal Disease. 2003. .
    1. Guccione AA, Felson DT, Anderson JJ, et al. The effects of specific medical conditions on the functional limitations of elders in the Framingham Study. Am J Public Health. 1994;84(3):351–358.
    1. Kellgren J, Lawrence J. Radiologic assessment of osteoarthritis. Ann Rheum Dis. 1957;16(4):494–502.
    1. Peterfy CG, Guermazi A, Zaim S, et al. Whole-Organ Magnetic Resonance Imaging Score (WORMS) of the knee in osteoarthritis. Osteoarthritis Cartilage. 2004;12(3):177–190.
    1. Link TM, Steinbach LS, Ghosh S, et al. Osteoarthritis: MR imaging findings in different stages of disease and correlation with clinical findings. Radiology. 2003;226(2):373–381.
    1. Felson DT, McLaughlin S, Goggins J, et al. Bone marrow edema and its relation to progression of knee osteoarthritis. Ann Intern Med. 2003;139(5 pt 1):330–336.
    1. Felson DT, Chaisson CE, Hill CL, et al. The association of bone marrow lesions with pain in knee osteoarthritis. Ann Intern Med. 2003;134(7):541–549.
    1. David-Vaudey E, Ghosh S, Ries M, Majumdar S. T2 relaxation time measurements in osteoarthritis. Magn Reson Imaging. 2004;22(5):673–682.
    1. Akella SV, Regatte RR, Gougoutas AJ, et al. Proteoglycan-induced changes in T1rho-relaxation of articular cartilage at 4T. Magn Reson Med. 2001;46(3):419–423.
    1. Wheaton AJ, Casey FL, Gougoutas AJ, et al. Correlation of T1rho with fixed charge density in cartilage. J Magn Reson Imaging. 2004;20(3):519–525.
    1. Regatte RR, Akella SV, Borthakur A, Kneeland JB, Reddy R. In vivo proton MR three-dimensional T1rho mapping of human articular cartilage: initial experience. Radiology. 2003;229(1):269–274.
    1. Li X, Benjamin Ma C, Link TM, et al. In vivo T(1rho) and T(2) mapping of articular cartilage in osteoarthritis of the knee using 3 T MRI. Osteoarthritis Cartilage. 2007;15(7):789–797.
    1. Carballido-Gamio J, Link TM, Majumdar S. New techniques for cartilage magnetic resonance imaging relaxation time analysis: texture analysis of flattened cartilage and localized intra- and inter-subject comparisons. Magn Reson Med. 2008;59(6):1472–1477.
    1. Carballido-Gamio J, Stahl R, Blumenkrantz G, Romero A, Majumdar S, Link TM. Spatial analysis of magnetic resonance T1rho and T2 relaxation times improves classification between subjects with and without osteoarthritis. Med Phys. 2009;36(9):4059–4067.
    1. Schooler J, Kumar D, Nardo L, et al. Longitudinal evaluation of T1rho and T2 spatial distribution in osteoarthritic and healthy medial knee cartilage. Osteoarthritis Cartilage. 2014;22(1):51–62.
    1. Radin E, Rose R. Role of subchondral bone in the initiation and progression of cartilage damage. Cin Orthop Relat Res. 1986;(213):34–40.
    1. Muller-Gerbl M, Griebl R, Putz R, Golman A, Kuhr M, Taeger K. Assessment of subchondral bone density distribution patterns in patients subject to correction osteotomy. Trans Orth Soc. 1994;19:574.
    1. Muller-Gerbl M, Putz R, Hodapp N, Schulte E, Wimmer B. Computer tomography osteo-absorptiometry for assessing the density distribution of subchondral bone as a measure of long term mechanical adaptation in individual joints. Skeletal Radiol. 1989;18(7):507–512.
    1. Pauwels F. Biomechanics of the Locomotor Apparatus. Berlin, Germany: Springer; 1980.
    1. Burr DB, Gallant MA. Bone remodelling in osteoarthritis. Nat Rev Rheumatol. 2012;8(11):665–673.
    1. Lindsey CT, Narasimhan A, Adolfo JM, et al. Magnetic resonance evaluation of the interrelationship between articular cartilage and trabecular bone of the osteoarthritic knee. Osteoarthritis Cartilage. 2004;12(2):86–96.
    1. Bolbos RI, Zuo J, Banerjee S, et al. Relationship between trabecular bone structure and articular cartilage morphology and relaxation times in early OA of the knee joint using parallel MRI at 3 T. Osteoarthritis Cartilage. 2008;16(10):1150–1159.
    1. Draper CE, Quon A, Fredericson M, et al. Comparison of MRI and (1)(8)F-NaF PET/CT in patients with patellofemoral pain. J Magn Reson Imaging. 2012;36(4):928–932.
    1. Karsdal MA, Leeming DJ, Dam EB, et al. Should subchondral bone turnover be targeted when treating osteoarthritis? Osteoarthritis Cartilage. 2008;16(6):638–646.
    1. Karsdal MA, Sondergaard BC, Arnold M, Christiansen C. Calcitonin affects both bone and cartilage: a dual action treatment for osteoarthritis? Ann N Y Acad Sci. 2007;1117:181–195.
    1. Roos EM, Lohmander LS. The Knee injury and Osteoarthritis Outcome Score (KOOS): from joint injury to osteoarthritis. Health Qual Life Outcomes. 2003;1:64.
    1. Li X, Wyatt C, Rivoire J, et al. Simultaneous acquisition of T1γ and T2 quantification in knee cartilage: repeatability and diurnal variation. J Magn Reson Imaging. 2014;39(5):1287–1293.
    1. Nahmias C, Cockshott WP, Belbeck LW, Garnett ES. Measurement of absolute bone blood flow by positron emission tomography. Skeletal Radiol. 1986;15(3):198–200.
    1. Blau M, Ganatra R, Bender MA. 18F-fluoride for bone imaging. Semin Nucl Med. 1972;2(1):31–37.
    1. Irmler IM, Gebhardt P, Hoffmann B, et al. 18 F-Fluoride positron emission tomography/computed tomography for noninvasive in vivo quantification of pathophysiological bone metabolism in experimental murine arthritis. Arthritis Res Ther. 2014;16(4):R155.
    1. Hawkins RA, Choi Y, Huang SC, et al. Evaluation of skeletal kinetics of fluorine 18-fluoride ion with PET. J Nucl Med. 1991;33(5):633–642.
    1. Raijmakers P, Temmerman OP, Saridin CP, et al. Quantification of 18F-fluoride kinetics: evaluation of simplified methods. J Nucl Med. 2014;55(7):1122–1127.
    1. Pedoia V, Li X, Su F, Calixto N, Majumdar S. Fully automatic analysis of the knee articular cartilage T relaxation time using voxel-based relaxometry. J Magn Reson Imaging. 2016;43(4):970–980.
    1. Carballido-Gamio J, Majumdar S. Atlas-based knee cartilage assessment. Magn Reson Med. 2011;66(2):574–583.
    1. Baum T, Joseph GB, Arulanandan A, et al. Association of magnetic resonance imaging-based knee cartilage T2 measurements and focal knee lesions with knee pain: data from the osteoarthritis initiative. Arthritis care res (Hoboken). 2012;64(2):248–255.
    1. Hunter DJ, March L, Sambrook PN. The association of cartilage volume with knee pain. Osteoarthritis Cartilage. 2003;11(10):725–729.
    1. Burr DB, Schaffler MB. The involvement of subchondral mineralized tissues in osteoarthrosis: quantitative microscopic evidence. Microsc Res Tech. 1997;37(4):343–357.
    1. Burr DB. The importance of subchondral bone in the progression of osteoarthritis. J Rheumatol Suppl. 2004;70:77–80.
    1. Vincent KR, Conrad BP, Fregly BJ, Vincent HK. The pathophysiology of osteoarthritis: a mechanical perspective on the knee joint. PM R. 2012;4(5 suppl):S3–S9.
    1. Zaid M, Lansdown D, Su F, et al. Abnormal tibial position is correlated to early degenerative changes one year following ACL reconstruction. J Orthop Res. 2015;33(7):1079–1086.
    1. Su F, Hilton JF, Nardo L, et al. Cartilage morphology and T1rho and T2 quantification in ACL-reconstructed knees: a 2-year follow-up. Osteoarthritis Cartilage. 2013;21(8):1058–1067.
    1. Alcaraz MJ, Megias J, Garcia-Arnandis I, Clerigues V, Guillen MI. New molecular targets for the treatment of osteoarthritis. Biochem Pharmacol. 2010;80(1):13–21.

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