Abstract
Objective
The aim of this study was to evaluate the longitudinal reproducibility of cartilage volume and surface area measurements in moderate osteoarthritis (OA) of the knee.
Materials and methods
We analysed 5 MRI (GE 1.5T, sagittal 3D SPGR) data sets of patients with osteoarthritis (OA) of the knee (Kellgren Lawrence grade I–II). Two scans were performed: one baseline scan and one follow-up scan 3 months later (96 ± 10 days). For segmentation, 3D Slicer 2.5 software was used. Two segmentations were performed by two readers independently who were blinded to the scan dates. Tibial and femoral cartilage volume and surface were determined. Longitudinal and cross-sectional precision errors were calculated using the standard deviation (SD) and coefficient of variation (CV%=100×[SD/mean]) from the repeated measurements in each patient. The in vivo reproducibility was then calculated as the root mean square of these individual reproducibility errors.
Results
The cross-sectional root mean squared coefficient of variation (RMSE-CV) was 1.2, 2.2 and 2.4% for surface area measurements (femur, medial and lateral tibia respectively) and 1.4, 1.8 and 1.3% for the corresponding cartilage volumes. Longitudinal RMSE-CV was 3.3, 3.1 and 3.7% for the surface area measurements (femur, medial and lateral tibia respectively) and 2.3, 3.3 and 2.4% for femur, medial and lateral tibia cartilage volumes.
Conclusion
The longitudinal in vivo reproducibility of cartilage surface and volume measurements in the knee using this segmentation method is excellent. To the best of our knowledge we measured, for the first time, the longitudinal reproducibility of cartilage volume and surface area in participants with mild to moderate OA.
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References
Cisternas M, Yelin E, Trupin L, Murphy L, Helmick CG. Direct and indirect costs of arthritis and other rheumatic conditions—United States, 1997. Report. Atlanta: Centers for Disease Control and Prevention, November 21, 2003.
Pientka L. Arthrose als Volkskrankheit. Klin Forsch 2000;6 Suppl:2:2–3.
Disler DG, McCauley TR, Wirth CR, Fuchs MD. Detection of knee hyaline cartilage defects using fat-suppressed three-dimensional spoiled gradient-echo MR imaging: comparison with standard MR imaging and correlation with arthroscopy. AJR Am J Roentgenol 1995;165 (2):377–82.
Peterfy CG, van Dijke CF, Janzen DL, Glüer CC, Namba R, Majumdar S et al. Quantification of articular cartilage in the knee with pulsed saturation transfer subtraction and fat-suppressed MR imaging: optimization and validation. Radiology 1994;192 (2):485–91.
Wluka AE, Stuckey S, Snaddon J, Cicuttini FM. The determinants of change in tibial cartilage volume in osteoarthritic knees. Arthritis Rheum 2002;46 (8):2065–72.
Cicuttini F, Forbes A, Asbeutah A, Morris K, Stuckey S. Comparison and reproducibility of fast and conventional spoiled gradient-echo magnetic resonance sequences in the determination of knee cartilage volume. J Orthop Res 2000;18 (4):580–4.
Cicuttini F, Forbes A, Morris K, Darling S, Bailey M, Stuckey S. Gender differences in knee cartilage volume as measured by magnetic resonance imaging. Osteoarthr Cartil 1999;7 (3):265–71.
Eckstein F, Westhoff J, Sittek H, Maag KP, Haubner M, Faber S et al. In vivo reproducibility of three-dimensional cartilage volume and thickness measurements with MR imaging. AJR Am J Roentgenol 1998;170 (3):593–7.
Eckstein F, Heudorfer L, Faber SC, Burgkart R, Englmeier KH, Reiser M. Long-term and resegmentation precision of quantitative cartilage MR imaging (qMRI). Osteoarthr Cartil 2002;10 (12):922–8.
Eckstein F, Charles HC, Buck RJ, Kraus VB, Remmers AE, Hudelmaier M et al. Accuracy and precision of quantitative assessment of cartilage morphology by magnetic resonance imaging at 3.0T. Arthritis Rheum 2005;52 (10):3132–6.
Yoshioka H, Stevens K, Genovese M, Dillingham MF, Lang P. Articular cartilage of knee: normal patterns at MR imaging that mimic disease in healthy subjects and patients with osteoarthritis. Radiology 2004;231 (1):31–8.
Loresen We, Cline HE. Marching cubes: a high resolution 3D surface reconstruction algorithm. Comput Graph (ACM) 1987; 21(4):163–9.
Sommerville DMY. Analytical geometry of three dimensions. Cambridge: Cambridge University Press; 1959.
Glüer CC, Blake G, Lu Y, Blunt BA, Jergas M, Genant HK. Accurate assessment of precision errors: how to measure the reproducibility of bone densitometry techniques. Osteoporos Int 1995;5 (4):262–70.
Development CoreTeam R. R: a language and environment for statistical computing. In: R Foundation for Statistical Computing, http://www.R-project.org. Vienna; 2005.
Cicuttini FM, Wluka AE, Wang Y, Stuckey SL. Longitudinal study of changes in tibial and femoral cartilage in knee osteoarthritis. Arthritis Rheum 2004;50 (1):94–7.
Stammberger T, Eckstein F, Michaelis M, Englmeier KH, Reiser M. Interobserver reproducibility of quantitative cartilage measurements: comparison of B-spline snakes and manual segmentation. Magn Reson Imaging 1999;17 (7):1033–42.
Kshirsagar AA, Watson PJ, Tyler JA, Hall LD. Measurement of localized cartilage volume and thickness of human knee joints by computer analysis of three-dimensional magnetic resonance images. Invest Radiol 1998;33 (5):289–99.
Acknowledgements
Part of this work was funded by the NIH: NIH P41-RR13218, National Alliance for Medical Image Computing (NAMIC), http://www.na-mic.org, and through the NIH Roadmap for Medical Research, NIH U54 EB005149.
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Brem, M.H., Pauser, J., Yoshioka, H. et al. Longitudinal in vivo reproducibility of cartilage volume and surface in osteoarthritis of the knee. Skeletal Radiol 36, 315–320 (2007). https://doi.org/10.1007/s00256-006-0208-z
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DOI: https://doi.org/10.1007/s00256-006-0208-z