K. E. Keenan, T. F. Besier, J. M. Pauly, E. Han, J. Rosenberg, R. L

Slides:



Advertisements
Similar presentations
Surgical induction, histological evaluation, and MRI identification of cartilage necrosis in the distal femur in goats to model early lesions of osteochondrosis.
Advertisements

Functional ankle instability as a risk factor for osteoarthritis: using T2-mapping to analyze early cartilage degeneration in the ankle joint of young.
Biomechanical, biochemical and structural correlations in immature and mature rabbit articular cartilage  P. Julkunen, T. Harjula, J. Iivarinen, J. Marjanen,
Western blot quantification of aggrecan fragments in human synovial fluid indicates differences in fragment patterns between joint diseases  A. Struglics,
Machine learning classification of OARSI-scored human articular cartilage using magnetic resonance imaging  B.G. Ashinsky, C.E. Coletta, M. Bouhrara,
2D and 3D MOCART scoring systems assessed by 9
Considerations in measuring cartilage thickness using MRI: factors influencing reproducibility and accuracy  S. Koo, M.S., G.E. Gold, M.D., T.P. Andriacchi,
Anisotropy of collagen fibre alignment in bovine cartilage: comparison of polarised light microscopy and spatially resolved diffusion-tensor measurements 
T.A. Schmidt, Ph.D., R.L. Sah, M.D., Sc.D. 
T1ρ and T2 relaxation times predict progression of knee osteoarthritis
Long-term periarticular bone adaptation in a feline knee injury model for post-traumatic experimental osteoarthritis  S.K. Boyd, Ph.D., R. Müller, Ph.D.,
A. Williams, Y. Qian, D. Bear, C.R. Chu  Osteoarthritis and Cartilage 
Hisham A. Alhadlaq, M.S., Yang Xia, Ph.D.  Osteoarthritis and Cartilage 
C. Shi, G.J. Wright, C.L. Ex-Lubeskie, A.D. Bradshaw, H. Yao 
An MRI derived articular cartilage visualization framework
The groove model of osteoarthritis applied to the ovine fetlock joint
The epidemiology and impact of pain in osteoarthritis
Functional consequences of glucose and oxygen deprivation on engineered mesenchymal stem cell-based cartilage constructs  M.J. Farrell, J.I. Shin, L.J.
C. D. Jordan, E. J. McWalter, U. D. Monu, R. D. Watkins, W. Chen, N. K
The association between changes in synovial fluid levels of ARGS-aggrecan fragments, progression of radiographic osteoarthritis and self-reported outcomes:
Contrast-enhanced CT facilitates rapid, non-destructive assessment of cartilage and bone properties of the human metacarpal  B.A. Lakin, D.J. Ellis, J.S.
MRI of articular cartilage in OA: novel pulse sequences and compositional/functional markers  Garry E. Gold, Deborah Burstein, Bernard Dardzinski, Phillip.
Changes in social isolation and loneliness following total hip and knee arthroplasty: longitudinal analysis of the English Longitudinal Study of Ageing.
Knee effusion-synovitis volume measurement and effects of vitamin D supplementation in patients with knee osteoarthritis  X. Wang, F. Cicuttini, X. Jin,
Statistical evaluation of biomedical studies
Contrast Enhanced Computed Tomography can predict the glycosaminoglycan content and biomechanical properties of articular cartilage  P.N. Bansal, N.S.
Computer-aided quantification of focal cartilage lesions using MRI: Accuracy and initial arthroscopic comparison  Keh-Yang Lee, Ph.D., Jeffrey N. Masi,
A.R. Gannon, T. Nagel, D.J. Kelly  Osteoarthritis and Cartilage 
Women have thinner cartilage and smaller joint surfaces than men after adjustment for body height and weight  I.G. Otterness, Ph.D., F. Eckstein, M.D. 
Measurement accuracy of focal cartilage defects from MRI and correlation of MRI graded lesions with histology: a preliminary study  Chris A McGibbon,
Quantitative in vivo CT arthrography of the human osteoarthritic knee to estimate cartilage sulphated glycosaminoglycan content: correlation with ex-vivo.
H. Shao, C. Pauli, S. Li, Y. Ma, A. S. Tadros, A. Kavanaugh, E. Y
Osteoarthritis year 2011 in review: biochemical markers of osteoarthritis: an overview of research and initiatives  Y. Henrotin  Osteoarthritis and Cartilage 
R. Mahmoodian, J. Leasure, P. Philip, N. Pleshko, F. Capaldi, S
Cluster analysis of quantitative MRI T2 and T1ρ relaxation times of cartilage identifies differences between healthy and ACL-injured individuals at 3T 
A machine learning approach for the identification of new biomarkers for knee osteoarthritis development in overweight and obese women  N. Lazzarini,
B. Bittersohl, F. R. Miese, H. S. Hosalkar, M. Herten, G. Antoch, R
Effects of ACL interference screws on articular cartilage volume and thickness measurements with 1.5 T and 3 T MRI  M.E. Bowers, B.S., G.A. Tung, M.D.,
Estimation of mechanical properties of articular cartilage with MRI – dGEMRIC, T2 and T1 imaging in different species with variable stages of maturation 
Is cartilage sGAG content related to early changes in cartilage disease? Implications for interpretation of dGEMRIC  J.J. Stubendorff, E. Lammentausta,
UTE bi-component analysis of T2* relaxation in articular cartilage
L. Bian, S. L. Angione, K. W. Ng, E. G. Lima, D. Y. Williams, D. Q
Articular cartilage MR imaging and thickness mapping of a loaded knee joint before and after meniscectomy  Y. Song, M.S., J.M. Greve, M.S., D.R. Carter,
Cartilage shear dynamics during tibio-femoral articulation: effect of acute joint injury and tribosupplementation on synovial fluid lubrication  B.L.
Structural adaptations in compressed articular cartilage measured by diffusion tensor imaging  S.K. de Visser, B.Eng. (Med.), R.W. Crawford, D.Phil.,
Evaluations of radiographic joint space – do they adequately predict cartilage conditions in the patellofemoral joint of the patients undergoing total.
Quantitative MRI of parallel changes of articular cartilage and underlying trabecular bone in degeneration  E. Lammentausta, M.Sc., P. Kiviranta, B.M.,
E. Bandak, M. Boesen, H. Bliddal, R. G. C. Riis, H. Gudbergsen, M
H. Sadeghi, D.E.T. Shepherd, D.M. Espino  Osteoarthritis and Cartilage 
Utilization rates of hip arthroplasty in OECD countries
Degeneration of patellar cartilage in patients with recurrent patellar dislocation following conservative treatment: evaluation with delayed gadolinium-enhanced.
R. A. Damion, S. S. Pawaskar, M. E. Ries, E. Ingham, S. Williams, Z
Joint dependent concentrations of bone alkaline phosphatase in serum and synovial fluids of horses with osteochondral injury: an analytical and clinical.
S. Zheng, Y. Xia  Osteoarthritis and Cartilage 
Meniscectomy alters the dynamic deformational behavior and cumulative strain of tibial articular cartilage in knee joints subjected to cyclic loads  Y.
Who should have a joint replacement? A plea for more ‘phronesis’
Osteoarthritis and Cartilage
Functional ankle instability as a risk factor for osteoarthritis: using T2-mapping to analyze early cartilage degeneration in the ankle joint of young.
A novel method for assessing signal intensity within infrapatellar fat pad on MR images in patients with knee osteoarthritis  M. Lu, Z. Chen, W. Han,
Region of interest analysis: by selecting regions with denuded areas can we detect greater amounts of change?  D.J. Hunter, L. Li, Y.Q. Zhang, S. Totterman,
D.J. Hunter  Osteoarthritis and Cartilage 
Regional variation in T1ρ and T2 times in osteoarthritic human menisci: correlation with mechanical properties and matrix composition  M. Son, S.B. Goodman,
Multivariate pattern analysis of physical activity and cartilage health: data from the osteoarthritis initiative  E. Halilaj, T.J. Hastie, G.E. Gold,
3D modelling of the hip joint from clinical imaging data
Correlation between the MR T2 value at 4
Osteoarthritis year 2012 in review: biology
J.F. Nishimuta, M.E. Levenston  Osteoarthritis and Cartilage 
Osteoarthritis year in review 2016: mechanics
M. Doherty, P. Dieppe  Osteoarthritis and Cartilage 
General Information Osteoarthritis and Cartilage
Presentation transcript:

Prediction of glycosaminoglycan content in human cartilage by age, T1ρ and T2 MRI  K.E. Keenan, T.F. Besier, J.M. Pauly, E. Han, J. Rosenberg, R.L. Smith, S.L. Delp, G.S. Beaupre, G.E. Gold  Osteoarthritis and Cartilage  Volume 19, Issue 2, Pages 171-179 (February 2011) DOI: 10.1016/j.joca.2010.11.009 Copyright © 2010 Osteoarthritis Research Society International Terms and Conditions

Fig. 1 Patella specimens were imaged at 3 T using multi-slice, multi-echo 2D spiral sequences, and T1ρ and T2 relaxation time maps were computed using OsiriX. An axial image from one patella specimen mounted on the acrylic plate in the PBS bath is shown (a); the main magnetic field, B0, is out of the image plane. Representative T1ρ and T2 relaxation time maps are shown (b, c). Osteoarthritis and Cartilage 2011 19, 171-179DOI: (10.1016/j.joca.2010.11.009) Copyright © 2010 Osteoarthritis Research Society International Terms and Conditions

Fig. 2 sGAG content was measured biochemically for top and bottom half regions of human cadaver patellae and correlated with T1ρ relaxation time and age. The top view of a patella specimen mounted on an acrylic plate (left) and side view of the patellae and schematic of the plug used for biochemistry (right). Osteoarthritis and Cartilage 2011 19, 171-179DOI: (10.1016/j.joca.2010.11.009) Copyright © 2010 Osteoarthritis Research Society International Terms and Conditions

Fig. 3 sGAG content vs T1ρ relaxation time plots for the normal T2 relaxation time subset: normal T2 relaxation time is defined to be T2 relaxation time less than the mean plus one standard deviation of the T2 relaxation time for all samples. The reported P-values are from the mixed effects model. In the bottom region (a), there is a relationship between sGAG content and T1ρ relaxation time. When bottom and top regions data points are aggregated to obtain full-thickness values (b), there is a relationship between sGAG content and T1ρ relaxation time. In the top region (c), there is a moderate relationship between sGAG content and T1ρ relaxation time. If top & bottom regions data points are analyzed together (d), there is a correlation between sGAG content and T1ρ relaxation time. Osteoarthritis and Cartilage 2011 19, 171-179DOI: (10.1016/j.joca.2010.11.009) Copyright © 2010 Osteoarthritis Research Society International Terms and Conditions

Fig. 4 sGAG content vs T1ρ relaxation time plots for the top and bottom samples of the normal T2 relaxation time subset: normal T2 relaxation time is defined to be T2 relaxation time less than the mean plus one standard deviation of the T2 relaxation time for all samples. The data for five specimens, representative of the whole data set, are shown (a–e) along with the data for all normal T2 relaxation time specimens (f). The P-values and regression coefficients are determined for each specimen (a–e). For the entire normal T2 relaxation time data set (f), the P-value is determined from the mixed effects model. The specimen plots illustrate the variability in the data; four specimens have significant correlations (a, b, d, e) and the other follows the same trend (c). Osteoarthritis and Cartilage 2011 19, 171-179DOI: (10.1016/j.joca.2010.11.009) Copyright © 2010 Osteoarthritis Research Society International Terms and Conditions

Fig. 5 sGAG content vs T1ρ relaxation time plots for all data points: The reported P-values are from the mixed effects model. When all bottom data points are included (a), there is a moderate correlation between sGAG content and T1ρ relaxation time. When bottom and top data points are aggregated to obtain full-thickness values (b), there is a relationship between sGAG content and T1ρ relaxation time. For the top region, there is no relationship between sGAG content and T1ρ relaxation time for all data points (c). If top & bottom half data points are analyzed together (d), there is a correlation between sGAG content and T1ρ relaxation time. Osteoarthritis and Cartilage 2011 19, 171-179DOI: (10.1016/j.joca.2010.11.009) Copyright © 2010 Osteoarthritis Research Society International Terms and Conditions

Fig. 6 sGAG content vs T2 relaxation time linear regression plot for all top and bottom regions data points: When only the top region data points are analyzed, there is no relationship between sGAG content and T2 (grey triangles). When only the bottom region data points are analyzed, there is no relationship between sGAG content and T2 (black circles). When the top and bottom region data points are analyzed together, there is a correlation between sGAG content and T2 due to the difference in ranges of values in the two subgroups. Osteoarthritis and Cartilage 2011 19, 171-179DOI: (10.1016/j.joca.2010.11.009) Copyright © 2010 Osteoarthritis Research Society International Terms and Conditions