Quantitative Assessment of Articular Cartilage Morphology Via EPIC-microCT

Overview

Journal Osteoarthritis Cartilage

Specialties Orthopedics
Rheumatology

Date 2008 Sep 16

PMID 18789727

Citations 61

Authors

L Xie

A S P Lin

M E Levenston

R E Guldberg

Affiliations

Soon will be listed here.

Abstract

Objective: The objective of the present study was to validate the ability of Equilibrium Partitioning of an Ionic Contrast agent via microcomputed tomography (EPIC-microCT) to nondestructively assess cartilage morphology in the rat model.

Design: An appropriate contrast agent (Hexabrix) concentration and incubation time for equilibration were determined for reproducible segmentation of femoral articular cartilage from contrast-enhanced microCT scans. Reproducibility was evaluated by triplicate scans of six femora, and the measured articular cartilage thickness was independently compared to thickness determined from needle probe testing and histology. The validated technique was then applied to quantify age-related differences in articular cartilage morphology between 4, 8, and 16-week-old (n=5 each) male Wistar rats.

Results: A 40% Hexabrix/60% phosphate buffered saline (PBS) solution with 30 min incubation was optimal for segmenting cartilage from the underlying bone tissue and other soft tissues in the rat model. High reproducibility was indicated by the low coefficient of variation (1.7-2.5%) in cartilage volume, thickness and surface area. EPIC-microCT evaluation of thickness showed a strong linear relationship and good agreement with both needle probing (r(2)=0.95, slope=0.81, P<0.01, mean difference 11+/-22 microm, n=43) and histology (r(2)=0.99, slope=0.97, P<0.01, mean difference 12+/-10 microm, n=30). Cartilage volume and thickness significantly decreased with age while surface area significantly increased.

Conclusion: EPIC-microCT imaging has the ability to nondestructively evaluate three-dimensional articular cartilage morphology with high precision and accuracy in a small animal model.

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References

Dam E, Folkesson J, Pettersen P, Christiansen C . Automatic morphometric cartilage quantification in the medial tibial plateau from MRI for osteoarthritis grading. Osteoarthritis Cartilage. 2007; 15(7):808-18. DOI: 10.1016/j.joca.2007.01.013. View

Hildebrand T, Ruegsegger P . Quantification of Bone Microarchitecture with the Structure Model Index. Comput Methods Biomech Biomed Engin. 1997; 1(1):15-23. DOI: 10.1080/01495739708936692. View

Schneider P, Stauber M, Voide R, Stampanoni M, Donahue L, Muller R . Ultrastructural properties in cortical bone vary greatly in two inbred strains of mice as assessed by synchrotron light based micro- and nano-CT. J Bone Miner Res. 2007; 22(10):1557-70. DOI: 10.1359/jbmr.070703. View

Hardya P, Newmark R, Liu Y, Meier D, Norris S, Piraino D . The influence of the resolution and contrast on measuring the articular cartilage volume in magnetic resonance images. Magn Reson Imaging. 2000; 18(8):965-72. DOI: 10.1016/s0730-725x(00)00186-7. View

Bland J, Altman D . Measuring agreement in method comparison studies. Stat Methods Med Res. 1999; 8(2):135-60. DOI: 10.1177/096228029900800204. View

Gandy S, Dieppe P, Keen M, Maciewicz R, Watt I, Waterton J . No loss of cartilage volume over three years in patients with knee osteoarthritis as assessed by magnetic resonance imaging. Osteoarthritis Cartilage. 2002; 10(12):929-37. DOI: 10.1053/joca.2002.0849. View

Palmer A, Guldberg R, Levenston M . Analysis of cartilage matrix fixed charge density and three-dimensional morphology via contrast-enhanced microcomputed tomography. Proc Natl Acad Sci U S A. 2006; 103(51):19255-60. PMC: 1748213. DOI: 10.1073/pnas.0606406103. View

Laib A, Barou O, Vico L, Lafage-Proust M, Alexandre C, Rugsegger P . 3D micro-computed tomography of trabecular and cortical bone architecture with application to a rat model of immobilisation osteoporosis. Med Biol Eng Comput. 2000; 38(3):326-32. DOI: 10.1007/BF02347054. View

Roberts M, Adams Jr S, Patel N, Stamper D, Westmore M, Martin S . A new approach for assessing early osteoarthritis in the rat. Anal Bioanal Chem. 2003; 377(6):1003-6. DOI: 10.1007/s00216-003-2225-2. View

10.

Goldring S, Goldring M . Clinical aspects, pathology and pathophysiology of osteoarthritis. J Musculoskelet Neuronal Interact. 2006; 6(4):376-8. View

11.

Brommer H, Brama P, Laasanen M, Helminen H, van Weeren P, Jurvelin J . Functional adaptation of articular cartilage from birth to maturity under the influence of loading: a biomechanical analysis. Equine Vet J. 2005; 37(2):148-54. DOI: 10.2746/0425164054223769. View

12.

Folkesson J, Dam E, Olsen O, Christiansen C . Accuracy evaluation of automatic quantification of the articular cartilage surface curvature from MRI. Acad Radiol. 2007; 14(10):1221-8. DOI: 10.1016/j.acra.2007.07.001. View

13.

Muhlbauer R, Lukasz T, Faber T, Stammberger T, Eckstein F . Comparison of knee joint cartilage thickness in triathletes and physically inactive volunteers based on magnetic resonance imaging and three-dimensional analysis. Am J Sports Med. 2000; 28(4):541-6. DOI: 10.1177/03635465000280041601. View

14.

Eckstein F . Noninvasive study of human cartilage structure by MRI. Methods Mol Med. 2004; 101:191-217. DOI: 10.1385/1-59259-821-8:191. View

15.

Xia Y . The total volume and the complete thickness of articular cartilage determined by MRI. Osteoarthritis Cartilage. 2003; 11(7):473-4. DOI: 10.1016/s1063-4584(03)00076-1. View

16.

Glaser C, Tins B, Trumm C, Richardson J, Reiser M, McCall I . Quantitative 3D MR evaluation of autologous chondrocyte implantation in the knee: feasibility and initial results. Osteoarthritis Cartilage. 2007; 15(7):798-807. DOI: 10.1016/j.joca.2007.01.017. View

17.

Koo S, Gold G, Andriacchi T . Considerations in measuring cartilage thickness using MRI: factors influencing reproducibility and accuracy. Osteoarthritis Cartilage. 2005; 13(9):782-9. DOI: 10.1016/j.joca.2005.04.013. View

18.

Uchiyama T, Tanizawa T, Muramatsu H, Endo N, Takahashi H, Hara T . A morphometric comparison of trabecular structure of human ilium between microcomputed tomography and conventional histomorphometry. Calcif Tissue Int. 1998; 61(6):493-8. DOI: 10.1007/s002239900373. View

19.

Haubner M, Eckstein F, Schnier M, Losch A, Sittek H, Becker C . A non-invasive technique for 3-dimensional assessment of articular cartilage thickness based on MRI. Part 2: Validation using CT arthrography. Magn Reson Imaging. 1997; 15(7):805-13. DOI: 10.1016/s0730-725x(97)00011-8. View

20.

Watrin-Pinzano A, Ruaud J, Olivier P, Grossin L, Gonord P, Blum A . Effect of proteoglycan depletion on T2 mapping in rat patellar cartilage. Radiology. 2004; 234(1):162-70. DOI: 10.1148/radiol.2341030394. View