Rationale and Objectives
T1ρ, inversion recovery sequence with a gadolinium contrast agent (dGEMRIC), and T2 mapping have shown sensitivity toward different osteoarthritic-associated compositional changes after joint injury, but have not been studied concomitantly in vivo. We hypothesized that these magnetic resonance imaging sequences can be used to measure early glycosaminoglycan (GAG) losses and collagen disruption in cartilage of anterior cruciate ligament (ACL) rupture patients.
Materials and Methods
Thirteen acute ACL rupture patients were each imaged during a 4-hour presurgery workup to acquire a fast-spin-echo-based T1ρ sequence, a multi-echo spin-echo T2 sequence, and T1-weighted dGEMRIC an average of 55.7 days after injury. After acquisition, the three sequences’ relaxation times were analytically compared.
Results
Site-specific differences were evinced, but nonsignificant differences in mean relaxation time between layers of the same region and sequence were observed (analysis of variance, P < .05). Spearman’s correlation coefficients of 0.542 (T1ρ vs. T2, P < .05), −0.026 (T1ρ vs. dGEMRIC, P = .585) and −0.095 (T2 vs. dGEMRIC, P < .05) were found.
Conclusion
No appreciable focal GAG loss was detected by dGEMRIC, and T2 was generally elevated in the early acute phase of blunt trauma injury. In contrast, both general and focal elevations in T1ρ relaxation times were identified, indicating an acute increase in unbound water in the matrix after blunt trauma, and show that patient-specific cartilage changes occur within otherwise healthy, young patients. Further investigation into each sequence’s long-term significance is warranted to help clinicians decide which sequence(s) will be the most useful for osteoarthritis prognosis given the challenge of concomitantly acquiring all three in a busy clinical setting.
Introduction
Articular cartilage injuries that lead to posttraumatic osteoarthritis include injury-induced cell death, matrix degradation, cartilage fissures, and alterations in cartilage material and mechanical properties . One of the most common joint injuries with damage to articular surfaces in the absence of osteochondral fractures or overt articular surface injury is in the knee with an acute anterior cruciate ligament (ACL) tear. At the time of knee arthroscopy, visible evidence of cartilage injury is not observed in the majority of cases . Morphologic changes in cartilage are less likely to be observed in the first year after ACL reconstruction, compared to imaging sessions observed years after injury, when a patient is closer to osteoarthritis (OA) development . However, within 15 years of injury, a large percentage of patients show evidence of structural abnormalities associated with knee OA on conventional radiographs, morphologic magnetic resonance imaging (MRI), or arthroscopy . The ability to detect these changes early in the process of developing posttraumatic osteoarthritis (ie, imaging biomarkers) would be a significant advance as it increases the possibility of intervention before significant joint deterioration.
Emerging quantitative cartilage imaging techniques including T1ρ, T2 mapping, and delayed gadolinium enhanced MRI of cartilage (dGEMRIC) are more promising than morphological sequences in acute injury assessment. Evidence in the literature indicates that each of these imaging sequences probes different biologic markers of cartilage degeneration. Researchers have been working to define what each of these quantitative sequences measures. T2 mapping correlates predominately with cartilage hydration and collagen content . T1ρ is a relaxation measurement that probes the rate of exchange between protons of free water and those from water associated with macromolecules in the cartilage’s extracellular matrix, giving rise to longer relaxation times where components of the extracellular matrix, especially proteoglycans (PGs), are disrupted . dGEMRIC measures T1 relaxation changes after an intravenous injection of a charged gadolinium-based contrast agent to directly measure the fixed charge density arising from glycosaminoglycan chains of PG .
Get Radiology Tree app to read full this article<
Get Radiology Tree app to read full this article<
Materials and methods
Inclusion Criteria and Subjects
Get Radiology Tree app to read full this article<
Get Radiology Tree app to read full this article<
Table 1
Acute ACL Rupture Patient Demographics
ACL Patient Gender Age Height (m) Weight (kg) BMI Knee Imaged BC Injury to Preoperative Scan (weeks) 1 F 19 1.89 84.0 24.4 Left Yes 1.6 2 F 20 1.70 71.2 24.9 Right No 1.3 3 M 28 1.73 101.0 33.7 Left Yes 4.4 4 M 25 1.98 122. 5 30.4 Right Yes 19.0 5 F 22 1.70 64.0 22.5 Left Yes 8.3 6 F 18 1.78 77.1 24.3 Left Yes 5.9 7 M 29 1.73 66.0 22.4 Left Yes 11.1 8 M 24 1.78 92.4 27.5 Left Yes 4.1 9 M 22 1.78 74.0 25.8 Right No 1.3 10 F 23 1.70 120.00 41.50 Left Yes 19.4 11 F 20 1.72 70.00 23.70 Left Yes 1.0 12 M 25 1.78 95.90 30.30 Left Yes 17.1 13 M 22 1.78 100.00 31.60 Left Yes 8.9 Average – 23.2 1.76 84.6 27.9 – – 8.0
ACL, anterior cruciate ligament; BC, bone contusion; BMI, body mass index; F, female; M, male.
Get Radiology Tree app to read full this article<
Imaging
Get Radiology Tree app to read full this article<
Get Radiology Tree app to read full this article<
Get Radiology Tree app to read full this article<
Get Radiology Tree app to read full this article<
Image Postprocessing
Get Radiology Tree app to read full this article<
Get Radiology Tree app to read full this article<
Get Radiology Tree app to read full this article<
Data Analysis
Get Radiology Tree app to read full this article<
Results
Get Radiology Tree app to read full this article<
Get Radiology Tree app to read full this article<
Get Radiology Tree app to read full this article<
Get Radiology Tree app to read full this article<
Discussion
Get Radiology Tree app to read full this article<
Get Radiology Tree app to read full this article<
Get Radiology Tree app to read full this article<
Get Radiology Tree app to read full this article<
Get Radiology Tree app to read full this article<
Get Radiology Tree app to read full this article<
Get Radiology Tree app to read full this article<
Get Radiology Tree app to read full this article<
Conclusion
Get Radiology Tree app to read full this article<
Get Radiology Tree app to read full this article<
References
1. Wheaton A.J., Dodge G.R., Elliott D.M., et. al.: Quantification of cartilage biomechanical and biochemical properties via T1rho magnetic resonance imaging. Magn Reson Med 2005; 54: pp. 1087-1093.
2. Potter H.G., Jain S.K., Ma Y., et. al.: Cartilage injury after acute, isolated anterior cruciate ligament tear: immediate and longitudinal effect with clinical/MRI follow-up. Am J Sports Med 2012; 40: pp. 276-285.
3. Lohmander L.S., Englund P.M., Dahl L.L., et. al.: The long-term consequence of anterior cruciate ligament and meniscus injuries: osteoarthritis. Am J Sports Med 2007; 35: pp. 1756-1769.
4. Borchers J.R., Kaeding C.C., Pedroza A.D., et. al.: Intra-articular findings in primary and revision anterior cruciate ligament reconstruction surgery: a comparison of the MOON and MARS study groups. Am J Sports Med 2011; 39: pp. 1889-1893.
5. Frobell R.B., Le Graverand M.P., Buck R., et. al.: The acutely ACL injured knee assessed by MRI: changes in joint fluid, bone marrow lesions, and cartilage during the first year. Osteoarthr Cartilage 2009; 17: pp. 161-167.
6. Theologis A.A., Kuo D., Cheng J., et. al.: Evaluation of bone bruises and associated cartilage in anterior cruciate ligament-injured and -reconstructed knees using quantitative t(1rho) magnetic resonance imaging: 1-year cohort study. Arthroscopy 2011; 27: pp. 65-76.
7. Oiestad B.E., Engebretsen L., Storheim K., et. al.: Knee osteoarthritis after anterior cruciate ligament injury: a systematic review. Am J Sports Med 2009; 37: pp. 1434-1443.
8. Struewer J., Frangen T.M., Ishaque B., et. al.: Knee function and prevalence of osteoarthritis after isolated anterior cruciate ligament reconstruction using bone-patellar tendon-bone graft: long-term follow-up. Int Orthop 2012; 36: pp. 171-177.
9. Taylor C., Carballido-Gamio J., Majumdar S., et. al.: Comparison of quantitative imaging of cartilage for osteoarthritis: T2, T1rho, dGEMRIC and contrast-enhanced computed tomography. Magn Reson Imaging 2009; 27: pp. 779-784.
10. Burstein D., Gray M., Mosher T., et. al.: Measures of molecular composition and structure in osteoarthritis. Radiol Clin North Am 2009; 47: pp. 675-686.
11. Duvvuri U., Goldberg A.D., Kranz J.K., et. al.: Water magnetic relaxation dispersion in biological systems: the contribution of proton exchange and implications for the noninvasive detection of cartilage degradation. Proc Natl Acad Sci U S A 2001; 98: pp. 12479-12484.
12. Duvvuri U., Kudchodkar S., Reddy R., et. al.: T(1rho) relaxation can assess longitudinal proteoglycan loss from articular cartilage in vitro. Osteoarthr Cartilage 2002; 10: pp. 838-844.
13. Regatte R.R., Akella S.V., Wheaton A.J., et. al.: 3D-T1rho-relaxation mapping of articular cartilage: in vivo assessment of early degenerative changes in symptomatic osteoarthritic subjects. Acad Radiol 2004; 11: pp. 741-749.
14. Gray M.L., Burstein D., Kim Y.J., et. al.: 2007 Elizabeth Winston Lanier Award Winner. Magnetic resonance imaging of cartilage glycosaminoglycan: basic principles, imaging technique, and clinical applications. J Orthop Res 2008; 26: pp. 281-291.
15. Stahl R., Luke A., Li X., et. al.: T1rho, T2 and focal knee cartilage abnormalities in physically active and sedentary healthy subjects versus early OA patients—a 3.0-Tesla MRI study. Eur Radiol 2009; 19: pp. 132-143.
16. Wheaton A.J., Casey F.L., Gougoutas A.J., et. al.: Correlation of T1rho with fixed charge density in cartilage. J Magn Reson Imaging 2004; 20: pp. 519-525.
17. Burstein D.: MRI for development of disease-modifying osteoarthritis drugs. NMR Biomed 2006; 19: pp. 669-680.
18. Keenan K.E., Besier T.F., Pauly J.M., et. al.: Prediction of glycosaminoglycan content in human cartilage by age, T1rho and T2 MRI. Osteoarthr Cartilage 2011; 19: pp. 171-179.
19. Li X., Ma C.B., Link T.M., et. al.: In vivo T(1rho) and T(2) mapping of articular cartilage in osteoarthritis of the knee using 3 T MRI. Osteoarthr Cartilage 2007; 15: pp. 789-797.
20. Lozano J., Li X., Link T.M., et. al.: Detection of posttraumatic cartilage injury using quantitative T1rho magnetic resonance imaging. A report of two cases with arthroscopic findings. J Bone Joint Surg Am 2006; 88: pp. 1349-1352.
21. Regatte R.R., Akella S.V., Lonner J.H., et. al.: T1rho relaxation mapping in human osteoarthritis (OA) cartilage: comparison of T1rho with T2. J Magn Reson Imaging 2006; 23: pp. 547-553.
22. Li X., Kuo D., Theologis A., et. al.: Cartilage in anterior cruciate ligament-reconstructed knees: MR imaging T1(22) and T2—initial experience with 1-year follow-up. Radiology 2011; 258: pp. 505-514.
23. Nishioka H., Hirose J., Nakamura E., et. al.: T(1rho) and T(2) mapping reveal the in vivo extracellular matrix of articular cartilage. J Magn Reson Imaging 2012; 35: pp. 147-155.
24. Pritzker K.P., Gay S., Jimenez S.A., et. al.: Osteoarthritis cartilage histopathology: grading and staging. Osteoarthr Cartilage 2006; 14: pp. 13-29.
25. Kellgren J.H., Lawrence J.S.: Radiological assessment of osteo-arthrosis. Ann Rheum Dis 1957; 16: pp. 494-502.
26. Public Health Advisory: Update on magnetic resonance imaging (MRI) contrast agents containing gadolinium and nephrogenic fibrosing dermopathy. United States Food and Drug Administration June 8, 2006;
27. Charagundla S.R., Borthakur A., Leigh J.S., et. al.: Artifacts in T(1rho)-weighted imaging: correction with a self-compensating spin-locking pulse. J Magn Reson 2003; 162: pp. 113-121.
28. Peterfy C.G., Schneider E., Nevitt M.: The osteoarthritis initiative: report on the design rationale for the magnetic resonance imaging protocol for the knee. Osteoarthr Cartilage 2008; 16: pp. 1433-1441.
29. Burstein D., Velyvis J., Scott K.T., et. al.: Protocol issues for delayed Gd(DTPA)(2-)-enhanced MRI (dGEMRIC) for clinical evaluation of articular cartilage. Magn Reson Med 2001; 45: pp. 36-41.
30. Pedersen D.R., Klocke N.F., Thedens D.R., et. al.: Integrating cartilage-specific T1rho MRI into knee clinic diagnostic imaging. Iowa Orthop J 2011; 31: pp. 99-109.
31. Stahl R., Blumenkrantz G., Carballido-Gamio J., et. al.: MRI-derived T2 relaxation times and cartilage morphometry of the tibio-femoral joint in subjects with and without osteoarthritis during a 1-year follow-up. Osteoarthr Cartilage 2007; 15: pp. 1225-1234.
32. Neuman P., Tjornstrand J., Svensson J., et. al.: Longitudinal assessment of femoral knee cartilage quality using contrast enhanced MRI (dGEMRIC) in patients with anterior cruciate ligament injury–comparison with asymptomatic volunteers. Osteoarthr Cartilage 2011; 19: pp. 977-983.
33. Gold G.E., Chen C.A., Koo S., et. al.: Recent advances in MRI of articular cartilage. AJR Am J Roentgenol 2009; 193: pp. 628-638.
34. Shepherd D.E., Seedhom B.B.: Thickness of human articular cartilage in joints of the lower limb. Ann Rheum Dis 1999; 58: pp. 27-34.
35. Thedens DR, Klocke NF, Martin JA, et al. Consistency of T1rho measurements: a phantom study. Annual meeting of the International Society of Magnetic Resonance in Medicine, Montreal, Quebec, Canada, 2011. p. 2787.
36. Goto H., Iwama Y., Fujii M., et. al.: A preliminary study of the T1rho values of normal knee cartilage using 3T-MRI. Eur J Radiol 2012; 81: pp. e796-e803.