Classification of degraded cartilage through multiparametric MRI analysis

Journal of Magnetic Resonance

Volumn 201, Issue 1, 2009, Pages 61-71

  Lin, Ping Chang ^a   Reiter, David A ^a   Spencer, Richard G ^a  

^a NATIONAL INSTITUTE ON AGING   (United States)

Author keywords

Classification; Clustering; Multiparametric; Osteoarthritis; Sensitivity; Specificity

Indexed keywords

CLASSIFICATION; CLUSTERING; MULTIPARAMETRIC; OSTEOARTHRITIS; SENSITIVITY; SPECIFICITY;

BIOLOGICAL MATERIALS; CARTILAGE; DEGRADATION; DISCRIMINANT ANALYSIS; FUZZY CLUSTERING; LIGAMENTS; MULTICARRIER MODULATION; SURFACE DIFFUSION;

CLUSTER ANALYSIS;

COLLAGENASE; TRYPSIN;

ANIMAL; ARTICLE; CARTILAGE; CATTLE; CHEMISTRY; CLUSTER ANALYSIS; FUZZY LOGIC; HYDROLYSIS; METHODOLOGY; NOSE SEPTUM; NUCLEAR MAGNETIC RESONANCE; REPRODUCIBILITY; STATISTICAL MODEL;

ANIMALS; CARTILAGE; CATTLE; CLUSTER ANALYSIS; COLLAGENASES; FUZZY LOGIC; HYDROLYSIS; MODELS, STATISTICAL; NASAL SEPTUM; NUCLEAR MAGNETIC RESONANCE, BIOMOLECULAR; REPRODUCIBILITY OF RESULTS; TRYPSIN;

BOVINAE;

EID: 70349728783     PISSN: 10907807     EISSN: 10960856     Source Type: Journal    
DOI: 10.1016/j.jmr.2009.08.001     Document Type: Article

References (26)

1. Gold G.E., and Beaulieu C.F. Future of MR imaging of articular cartilage. Semin. Musculoskelet. Radiol. 5 (2001) 313-327
2. Mosher T.J., and Dardzinski B.J. Cartilage MRI T2 relaxation time mapping: overview and applications. Semin. Musculoskelet. Radiol. 8 (2004) 355-368
3. Burstein D., Bashir A., and Gray M.L. MRI techniques in early stages of cartilage disease. Invest. Radiol. 35 (2000) 622-638
4. Laurent D., Wasvary J., Yin J., Rudin M., Pellas T.C., and O'Byrne E. Quantitative and qualitative assessment of articular cartilage in the goat knee with magnetization transfer imaging. Magn. Reson. Imaging 19 (2001) 1279
5. Menezes N.M., Gray M.L., Hartke J.R., and Burstein D. T2 and T1ρ MRI in articular cartilage systems. Magn. Reson. Med. 51 (2004) 503-509
6. Mlynarik V., Sulzbacher I., Bittsansky M., Fuiko R., and Trattnig S. Investigation of apparent diffusion constant as an indicator of early degenerative disease in articular cartilage. J. Magn. Reson. Imaging 17 (2003) 440-444
7. Laurent D., Wasvary J., O'Byrne E., and Rudin M. In vivo qualitative assessments of articular cartilage in the rabbit knee with high-resolution MRI at 3 T. Magn. Reson. Med. 50 (2003) 541-549
8. Chen C.-T., Fishbein K.W., Torzilli P.A., Hilger A., Spencer R.G.S., and Horton Jr. W.E. Matrix fixed-charge density as determined by magnetic resonance microscopy of bioreactor-derived hyaline cartilage correlates with biochemical and biomechanical properties. Arthritis Rheum. 48 (2003) 1047-1056
9. Nieminen M.T., Toyras J., Rieppo J., Hakumaki J.M., Silvennoinen J., Helminen H.J., and Jurvelin J.S. Quantitative MR microscopy of enzymatically degraded articular cartilage. Magn. Reson. Med. 43 (2000) 676-681
10. Meder R., de Visser S.K., Bowden J.C., Bostrom T., and Pope J.M. Diffusion tensor imaging of articular cartilage as a measure of tissue microstructure. Osteoarthritis Cartilage 14 (2006) 875-881
11. Berg A., Singer T., and Moser E. High-resolution diffusivity imaging at 3.0 T for the detection of degenerative changes - a trypsin-based arthritis model. Invest. Radiol. 38 (2003) 460-466
12. Fraley C., and Raftery A.E. MCLUST Version 3 for R: Normal Mixture Modeling and Model-based Clustering. Technical Report 504 (2006), Department of Statistics, University of Washington
13. Hajnal J.V., Baudouin C.J., Oatridge A., Young I.R., and Bydder G.M. Design and implementation of magnetization transfer pulse sequences for clinical use. J. Comput. Assist. Tomogr. 16 (1992) 7-18
14. P.-C. Lin, D.A. Reiter, R.G. Spencer, Sensitivity and specificity of univariate MRI analysis of experimentally degraded cartilage, Magn. Reson. Med., 2009, doi:10.1002/mrm.22110.
15. Reiter D.A., Lin P.C., Fishbein K.W., and Spencer R.G. Multicomponent T2 relaxation analysis in cartilage. Magn. Reson. Med. 61 (2009) 803-809
16. Molinaro A.M., Simon R., and Pfeiffer R.M. Prediction error estimation: a comparison of resampling methods. Bioinformatics 21 (2005) 3301-3307
17. Fraley C., and Raftery A.E. Enhanced model-based clustering, density estimation, and discriminant analysis software: MCLUST. J. Classif. 20 (2003) 263-286
18. Hartigan J.A., and Wong M.A. Algorithm AS 136: a k-means clustering algorithm. Appl. Stat. 28 (1979) 100-108
19. R: A language and environment for statistical computing, R Development Core Team, R Foundation for Statistical Computing, Vienna, Austria, 2005.
20. Hastie T., and Tibshirani R. Discriminant analysis by Gaussian mixtures. J. R. Stat. Soc. B Methodol. 58 (1996) 155-176
21. Schwarz G. Estimating the dimension of a model. Ann. Stat. 6 (1978) 461-464
22. Recht M.P., Goodwin D.W., Winalski C.S., and White L.M. MRI of articular cartilage: revisiting current status and future directions. Am. J. Roentgenol. 185 (2005) 899-914
23. Harris G., Andreasen N.C., Cizadlo T., Bailey J.M., Bockholt H.J., Magnotta V.A., and Arndt S. Improving tissue classification in MRI: a three-dimensional multispectral discriminant analysis method with automated training class selection. J. Comput. Assist. Tomogr. 23 (1999) 144-154
24. Forbes F., Peyrard N., Fraley C., Georgian-Smith D., Goldhaber D.M., and Raftery A.E. Model-based region-of-interest selection in dynamic breast MRI. J. Comput. Assist. Tomogr. 30 (2006) 675-687
25. Potter K., Kidder L.H., Levin I.W., Lewis E.N., and Spencer R.G.S. Imaging of collagen and proteoglycan in cartilage sections using Fourier transform infrared spectral imaging. Arthritis Rheum. 44 (2001) 846-855
26. Fraley C., and Raftery A.E. Model-based clustering, discriminant analysis, and density estimation. J. Am. Stat. Assoc. 97 (2002) 611-631