Prediction of progression of radiographic knee osteoarthritis using tibial trabecular bone texture

Objective To develop a system for predicting the progression of radiographic knee osteoarthritis (OA) using tibial trabecular bone texture. Methods We studied 203 knees with (n = 68) or without (n = 135) radiographic tibiofemoral OA in 105 subjects (90 men and 15 women with a mean age of 54 years) i...

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Published inArthritis & rheumatology (Hoboken, N.J.) Vol. 64; no. 3; pp. 688 - 695
Main Authors Woloszynski, T., Podsiadlo, P., Stachowiak, G. W., Kurzynski, M., Lohmander, L. S., Englund, M.
Format Journal Article
LanguageEnglish
Published Hoboken Wiley Subscription Services, Inc., A Wiley Company 01.03.2012
Wiley
Wiley Subscription Services, Inc
Subjects
Arthrography - methods
Biological and medical sciences
Clinical Medicine
Disease Progression
Diseases of the osteoarticular system
Female
Humans
Klinisk medicin
Knee
Knee Joint - diagnostic imaging
Knee Joint - pathology
Logistic Models
Male
Medical and Health Sciences
Medical sciences
Medicin och hälsovetenskap
Middle Aged
Miscellaneous. Osteoarticular involvement in other diseases
Osteoarthritis
Osteoarthritis, Knee - diagnosis
Osteoarthritis, Knee - diagnostic imaging
Osteoporosis
Predictive Value of Tests
ROC Curve
Tibia - diagnostic imaging
Tibia - pathology
Knee
Knee osteoarthritis
Prognosis
Radiodiagnosis
Diseases of the osteoarticular system
Rheumatology
Exploration
Texture
Radiography
Tibia
Arthropathy
Evolution
Degenerative disease
Spongious bone
Predictive factor
Osteoarthritis
Online AccessGet full text
ISSN0004-3591
2326-5191
1529-0131
1529-0131
2326-5205
DOI10.1002/art.33410

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Abstract Objective To develop a system for predicting the progression of radiographic knee osteoarthritis (OA) using tibial trabecular bone texture. Methods We studied 203 knees with (n = 68) or without (n = 135) radiographic tibiofemoral OA in 105 subjects (90 men and 15 women with a mean age of 54 years) in whom 2 sets of knee radiographs were obtained 4 years apart. We determined medial and lateral compartment tibial trabecular bone texture using an automated region selection method. Three texture parameters were calculated: roughness, degree of anisotropy, and direction of anisotropy based on a signature dissimilarity measure method. We evaluated tibiofemoral OA progression using a radiographic semiquantitative outcome: an increase in the medial joint space narrowing (JSN) grade. We examined the predictive ability of trabecular bone texture in knees with and those without preexisting radiographic OA, with adjustment for age, sex, and body mass index, using logistic regression (generalized estimating equations) and receiver operating characteristic curves. Results The prediction of increased medial JSN in knees with or without preexisting radiographic OA was the most accurate for medial trabecular bone texture; the area under the curve (AUC) was 0.77 and 0.75, respectively. For lateral trabecular bone texture, the AUC was 0.71 in knees with preexisting OA and 0.72 in knees without preexisting OA. Conclusion We have developed a system, based on analyzing tibial trabecular bone texture, which yields good prediction of loss of tibiofemoral joint space. The predictive ability of the system needs to be further validated.
AbstractList To develop a system for predicting the progression of radiographic knee osteoarthritis (OA) using tibial trabecular bone texture. We studied 203 knees with (n = 68) or without (n = 135) radiographic tibiofemoral OA in 105 subjects (90 men and 15 women with a mean age of 54 years) in whom 2 sets of knee radiographs were obtained 4 years apart. We determined medial and lateral compartment tibial trabecular bone texture using an automated region selection method. Three texture parameters were calculated: roughness, degree of anisotropy, and direction of anisotropy based on a signature dissimilarity measure method. We evaluated tibiofemoral OA progression using a radiographic semiquantitative outcome: an increase in the medial joint space narrowing (JSN) grade. We examined the predictive ability of trabecular bone texture in knees with and those without preexisting radiographic OA, with adjustment for age, sex, and body mass index, using logistic regression (generalized estimating equations) and receiver operating characteristic curves. The prediction of increased medial JSN in knees with or without preexisting radiographic OA was the most accurate for medial trabecular bone texture; the area under the curve (AUC) was 0.77 and 0.75, respectively. For lateral trabecular bone texture, the AUC was 0.71 in knees with preexisting OA and 0.72 in knees without preexisting OA. We have developed a system, based on analyzing tibial trabecular bone texture, which yields good prediction of loss of tibiofemoral joint space. The predictive ability of the system needs to be further validated.
To develop a system for predicting the progression of radiographic knee osteoarthritis (OA) using tibial trabecular bone texture.OBJECTIVETo develop a system for predicting the progression of radiographic knee osteoarthritis (OA) using tibial trabecular bone texture.We studied 203 knees with (n = 68) or without (n = 135) radiographic tibiofemoral OA in 105 subjects (90 men and 15 women with a mean age of 54 years) in whom 2 sets of knee radiographs were obtained 4 years apart. We determined medial and lateral compartment tibial trabecular bone texture using an automated region selection method. Three texture parameters were calculated: roughness, degree of anisotropy, and direction of anisotropy based on a signature dissimilarity measure method. We evaluated tibiofemoral OA progression using a radiographic semiquantitative outcome: an increase in the medial joint space narrowing (JSN) grade. We examined the predictive ability of trabecular bone texture in knees with and those without preexisting radiographic OA, with adjustment for age, sex, and body mass index, using logistic regression (generalized estimating equations) and receiver operating characteristic curves.METHODSWe studied 203 knees with (n = 68) or without (n = 135) radiographic tibiofemoral OA in 105 subjects (90 men and 15 women with a mean age of 54 years) in whom 2 sets of knee radiographs were obtained 4 years apart. We determined medial and lateral compartment tibial trabecular bone texture using an automated region selection method. Three texture parameters were calculated: roughness, degree of anisotropy, and direction of anisotropy based on a signature dissimilarity measure method. We evaluated tibiofemoral OA progression using a radiographic semiquantitative outcome: an increase in the medial joint space narrowing (JSN) grade. We examined the predictive ability of trabecular bone texture in knees with and those without preexisting radiographic OA, with adjustment for age, sex, and body mass index, using logistic regression (generalized estimating equations) and receiver operating characteristic curves.The prediction of increased medial JSN in knees with or without preexisting radiographic OA was the most accurate for medial trabecular bone texture; the area under the curve (AUC) was 0.77 and 0.75, respectively. For lateral trabecular bone texture, the AUC was 0.71 in knees with preexisting OA and 0.72 in knees without preexisting OA.RESULTSThe prediction of increased medial JSN in knees with or without preexisting radiographic OA was the most accurate for medial trabecular bone texture; the area under the curve (AUC) was 0.77 and 0.75, respectively. For lateral trabecular bone texture, the AUC was 0.71 in knees with preexisting OA and 0.72 in knees without preexisting OA.We have developed a system, based on analyzing tibial trabecular bone texture, which yields good prediction of loss of tibiofemoral joint space. The predictive ability of the system needs to be further validated.CONCLUSIONWe have developed a system, based on analyzing tibial trabecular bone texture, which yields good prediction of loss of tibiofemoral joint space. The predictive ability of the system needs to be further validated.
Objective To develop a system for predicting the progression of radiographic knee osteoarthritis (OA) using tibial trabecular bone texture. Methods We studied 203 knees with (n = 68) or without (n = 135) radiographic tibiofemoral OA in 105 subjects (90 men and 15 women with a mean age of 54 years) in whom 2 sets of knee radiographs were obtained 4 years apart. We determined medial and lateral compartment tibial trabecular bone texture using an automated region selection method. Three texture parameters were calculated: roughness, degree of anisotropy, and direction of anisotropy based on a signature dissimilarity measure method. We evaluated tibiofemoral OA progression using a radiographic semiquantitative outcome: an increase in the medial joint space narrowing (JSN) grade. We examined the predictive ability of trabecular bone texture in knees with and those without preexisting radiographic OA, with adjustment for age, sex, and body mass index, using logistic regression (generalized estimating equations) and receiver operating characteristic curves. Results The prediction of increased medial JSN in knees with or without preexisting radiographic OA was the most accurate for medial trabecular bone texture; the area under the curve (AUC) was 0.77 and 0.75, respectively. For lateral trabecular bone texture, the AUC was 0.71 in knees with preexisting OA and 0.72 in knees without preexisting OA. Conclusion We have developed a system, based on analyzing tibial trabecular bone texture, which yields good prediction of loss of tibiofemoral joint space. The predictive ability of the system needs to be further validated. [PUBLICATION ABSTRACT]
Objective To develop a system for predicting the progression of radiographic knee osteoarthritis (OA) using tibial trabecular bone texture. Methods. We studied 203 knees with (n = 68) or without (n = 135) radiographic tibiofemoral OA in 105 subjects (90 men and 15 women with a mean age of 54 years) in whom 2 sets of knee radiographs were obtained 4 years apart. We determined medial and lateral compartment tibial trabecular bone texture using an automated region selection method. Three texture parameters were calculated: roughness, degree of anisotropy, and direction of anisotropy based on a signature dissimilarity measure method. We evaluated tibiofemoral OA progression using a radiographic semi-quantitative outcome: an increase in the medial joint space narrowing (JSN) grade. We examined the predictive ability of trabecular bone texture in knees with and those without preexisting radiographic OA, with adjustment for age, sex, and body mass index, using logistic regression (generalized estimating equations) and receiver operating characteristic curves. Results. The prediction of increased medial JSN in knees with or without preexisting radiographic OA was the most accurate for medial trabecular bone texture; the area under the curve (AUC) was 0.77 and 0.75, respectively. For lateral trabecular bone texture, the AUC was 0.71 in knees with preexisting OA and 0.72 in knees without preexisting OA. Conclusion. We have developed a system, based on analyzing tibial trabecular bone texture, which yields good prediction of loss of tibiofemoral joint space. The predictive ability of the system needs to be further validated.
Objective To develop a system for predicting the progression of radiographic knee osteoarthritis (OA) using tibial trabecular bone texture. Methods We studied 203 knees with (n = 68) or without (n = 135) radiographic tibiofemoral OA in 105 subjects (90 men and 15 women with a mean age of 54 years) in whom 2 sets of knee radiographs were obtained 4 years apart. We determined medial and lateral compartment tibial trabecular bone texture using an automated region selection method. Three texture parameters were calculated: roughness, degree of anisotropy, and direction of anisotropy based on a signature dissimilarity measure method. We evaluated tibiofemoral OA progression using a radiographic semiquantitative outcome: an increase in the medial joint space narrowing (JSN) grade. We examined the predictive ability of trabecular bone texture in knees with and those without preexisting radiographic OA, with adjustment for age, sex, and body mass index, using logistic regression (generalized estimating equations) and receiver operating characteristic curves. Results The prediction of increased medial JSN in knees with or without preexisting radiographic OA was the most accurate for medial trabecular bone texture; the area under the curve (AUC) was 0.77 and 0.75, respectively. For lateral trabecular bone texture, the AUC was 0.71 in knees with preexisting OA and 0.72 in knees without preexisting OA. Conclusion We have developed a system, based on analyzing tibial trabecular bone texture, which yields good prediction of loss of tibiofemoral joint space. The predictive ability of the system needs to be further validated.
Objective To develop a system for predicting the progression of radiographic knee osteoarthritis (OA) using tibial trabecular bone texture. Methods We studied 203 knees with (n = 68) or without (n = 135) radiographic tibiofemoral OA in 105 subjects (90 men and 15 women with a mean age of 54 years) in whom 2 sets of knee radiographs were obtained 4 years apart. We determined medial and lateral compartment tibial trabecular bone texture using an automated region selection method. Three texture parameters were calculated: roughness, degree of anisotropy, and direction of anisotropy based on a signature dissimilarity measure method. We evaluated tibiofemoral OA progression using a radiographic semiquantitative outcome: an increase in the medial joint space narrowing (JSN) grade. We examined the predictive ability of trabecular bone texture in knees with and those without preexisting radiographic OA, with adjustment for age, sex, and body mass index, using logistic regression (generalized estimating equations) and receiver operating characteristic curves. Results The prediction of increased medial JSN in knees with or without preexisting radiographic OA was the most accurate for medial trabecular bone texture; the area under the curve (AUC) was 0.77 and 0.75, respectively. For lateral trabecular bone texture, the AUC was 0.71 in knees with preexisting OA and 0.72 in knees without preexisting OA. Conclusion We have developed a system, based on analyzing tibial trabecular bone texture, which yields good prediction of loss of tibiofemoral joint space. The predictive ability of the system needs to be further validated.
Author Podsiadlo, P.
Lohmander, L. S.
Kurzynski, M.
Stachowiak, G. W.
Englund, M.
Woloszynski, T.
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  organization: University of Western Australia, Crawley, Perth, Western Australia, Australia
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  organization: Lund University, Lund, Sweden, and Boston University, Boston, Massachusetts
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IsPeerReviewed true
IsScholarly true
Issue 3
Keywords Knee
Knee osteoarthritis
Prognosis
Radiodiagnosis
Diseases of the osteoarticular system
Rheumatology
Exploration
Texture
Radiography
Tibia
Arthropathy
Evolution
Degenerative disease
Spongious bone
Predictive factor
Osteoarthritis
Language English
License http://onlinelibrary.wiley.com/termsAndConditions#vor
CC BY 4.0
Copyright © 2012 by the American College of Rheumatology.
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Notes King Gustaf V's 80-Year Foundation
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Lund University Faculty of Medicine
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School of Mechanical and Chemical Engineering at the University of Western Australia
Swedish Research Council
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Greta and Johan Kock Foundation
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PublicationTitle Arthritis & rheumatology (Hoboken, N.J.)
PublicationTitleAlternate Arthritis & Rheumatism
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References Podsiadlo P, Wolski M, Stachowiak GW. Automated selection of trabecular bone regions in knee radiographs. Med Phys 2008; 35: 1870-83.
Ding M, Odgaard A, Hvid I. Changes in the three-dimensional microstructure of human tibial cancellous bone in early osteoarthritis. J Bone Joint Surg Br 2003; 85: 906-12.
Messent EA, Ward RJ, Tonkin CJ, Buckland-Wright C. Cancellous bone differences between knees with early, definite and advanced joint space loss; a comparative quantitative macroradiographic study. Osteoarthritis Cartilage 2005; 13: 39-47.
Loughlin J, Dowling B, Chapman K, Marcelline L, Mustafa Z, Southham L, et al. Functional variants within the secreted frizzled-related protein 3 gene are associated with hip osteoarthritis in females. Proc Natl Acad Sci U S A 2004; 101: 9757-62.
Imhof H, Breitenseher M, Kainberger F, Rand T, Trattnig S. Importance of subchondral bone to articular cartilage in health and disease. Top Magn Reson Imaging 1999; 10: 180-92.
Lindsey CT, Narasimhan A, Adolfo JM, Jin H, Steinbach LS, Link T, et al. Magnetic resonance evaluation of the interrelationship between articular cartilage and trabecular bone of the osteoarthritic knee. Osteoarthritis Cartilage 2004; 12: 86-96.
Peat G, McCarney R, Croft P. Knee pain and osteoarthritis in older adults: a review of community burden and current use of primary health care. Ann Rheum Dis 2001; 60: 91-7.
Valdes AM, Loughlin J, Van Oene M, Chapman K, Surdulescu GL, Doherty M, et al. Sex and ethnic differences in the association of ASPN, CALM1, COL2A1, COMP, and FRZB with genetic susceptibility to osteoarthritis of the knee. Arthritis Rheum 2007; 56: 137-46.
Shamir L, Ling SM, Scott W, Hochberg M, Ferrucci L, Goldberg IG. Early detection of radiographic knee osteoarthritis using computer-aided analysis. Osteoarthritis Cartilage 2009; 17: 1307-12.
Messent EA, Ward RJ, Tonkin CJ, Buckland-Wright C. Tibial cancellous bone changes in patients with knee osteoarthritis: a short-term longitudinal study using Fractal Signature Analysis. Osteoarthritis Cartilage 2005; 13: 463-70.
Kamibayashi L, Wyss UP, Cooke TD, Zee B. Trabecular microstructure in the medial condyle of the proximal tibia of patients with knee osteoarthritis. Bone 1995; 17: 27-35.
Jennane R, Harba G, Lemineur G, Bretteil S, Estrade A, Benhamou CL. Estimation of the 3D self-similarity parameter of trabecular bone from its 2D projection. Med Image Anal 2007; 11: 91-8.
Pothuaud L, Carceller P, Hans D. Correlations between grey-level variations in 2D projection images (TBS) and 3D microarchitecture: applications in the study of human trabecular bone microarchitecture. Bone 2008; 42: 775-87.
Kamibayashi L, Wyss UP, Cooke TD, Zee B. Changes in mean trabecular orientation in the medial condyle of the proximal tibia in osteoarthritis. Calcif Tissue Int 1995; 57: 69-73.
Kraus VB, Feng S, Wang SC, White S, Ainslie M, Brett A, et al. Trabecular morphometry by fractal signature analysis is a novel marker of osteoarthritis progression. Arthritis Rheum 2009; 60: 3711-22.
Tat SK, Lajeunesse D, Pelletier JP, Martel-Pelletier J. Targeting subchondral bone for treating osteoarthritis: what is the evidence? Best Pract Res Clin Rheumatology 2010; 24: 51-70.
Coats AM, Zioupos P, Aspden RM. Material properties of subchondral bone from patients with osteoporosis or osteoarthritis by microindentation testing end electron probe microanalysis. Calcif Tissue Int 2003; 73: 66-71.
Burr DB. Increased biological activity of subchondral mineralized tissues underlies the progressive deterioration of articular cartilage in osteoarthritis. J Rheumatol 2005; 32: 1156-8.
Li X, Liu P, Liu W, Maye P, Zhang J, Zhang Y, et al. Dkk2 has a role in terminal osteoblast differentiation and mineralized matrix formation. Nat Genet 2005; 37: 945-52.
Sammon JW. A nonlinear mapping for data structure analysis. IEEE Trans Comput 1969; C18: 401-9.
Altman RD, Hochberg M, Murphy WA Jr, Wolfe F, Lequesne M. Atlas of individual radiographic features in osteoarthritis. Osteoarthritis Cartilage 1995; 3 Suppl A: 3-70.
Pothuaud L, Benhamou CL, Porion P, Lespessailles E, Harba R, Levitz P. Fractal dimension of trabecular bone projection texture is related to three-dimensional microarchitecture. J Bone Miner Res 2000; 15: 691-9.
Morvan F, Boulukos K, Clement-Lacroix P, Roman Roman S, Suc-Royer I, Vayssiere B, et al. Deletion of a single allele of the Dkk1 gene leads to an increase in bone formation and bone mass. J Bone Miner Res 2006; 21: 934-45.
Chung HW, Chu CC, Underweiser M, Wehrli FW. On the fractal nature of trabecular structure. Med Phys 1994; 21: 1535-40.
Nevitt MC, Zhang Y, Javaid MK, Neogi T, Curtis JR, Niu J, et al. High systemic bone mineral density increases the risk of incident knee OA and joint space narrowing, but not radiographic progression of existing knee OA: the MOST study. Ann Rheum Dis 2010; 69: 163-8.
Woloszynski T, Podsiadlo P, Stachowiak GW, Kurzynski M. A signature dissimilarity measure for trabecular bone texture in knee radiographs. Med Phys 2010; 37: 2030-42.
Buckland-Wright JC. Subchondral bone changes in hand and knee osteoarthritis detected by radiography. Osteoarthritis Cartilage 2004; 12 Suppl A: S10-9.
Rubner Y, Tomasi C, Guibas LJ. The earth mover's distance as a metric for image retrieval. Int J Comput Vis 2000; 40: 99-121.
Radin EL, Rose RM. Role of subchondral bone in the initiation and progression of cartilage damage. Clin Orthop Relat Res 1986; 213: 34-40.
Li J, Sarosi I, Cattley RC, Pretorius J, Asuncion F, Grisanti M, et al. Dkk1-mediated inhibition of Wnt signalling in bone results in osteopenia. Bone 2006; 39: 754-66.
Wolski M, Podsiadlo P, Stachowiak GW, Lohmander LS, Englund M. Differences in trabecular bone texture between knees with and without radiographic osteoarthritis detected by directional fractal signature method. Osteoarthritis Cartilage 2010; 18: 684-90.
Apostol L, Boudousq V, Basset O, Odet C, Yot S, Tabary J, et al. Relevance of 2D radiographic texture analysis for the assessment of 3D bone micro-architecture. Med Phys 2006; 33: 3546-56.
Dore D, Quinn S, Ding C, Winzenberg T, Cicuttini F, Jones G. Subchondral bone and cartilage damage: a prospective study in older adults. Arthritis Rheum 2010; 62: 1967-73.
Englund M, Roos EM, Lohmander LS. Impact of type of meniscal tear on radiographic and symptomatic knee osteoarthritis: a sixteen-year followup of meniscectomy with matched controls. Arthritis Rheum 2003; 48: 2178-87.
Kothari M, Guermazi A, von Ingersleben G, Miaux Y, Sieffert M, Block JE, et al. Fixed-flexion radiography of the knee provides reproducible joint space width measurements in osteoarthritis. Eur Radiol 2004; 14: 1568-73.
Burr DB, Schaffler MB. The involvement of subchondral mineralized tissues in osteoarthrosis: quantitative microscopic evidence. Microsc Res Tech 1997; 37: 343-57.
Shamir L, Rahimi S, Orlov N, Ferrucci L, Goldberg IG. Progression analysis and stage discovery in continuous physiological processes using image computing. EURASIP J Bioinform Syst Biol 2010; 2010: 107036.
Englund M, Guermazi A, Roemer FW, Yang M, Zhang Y, Nevitt MC, et al. Meniscal pathology on MRI increases the risk for both incident and enlarging subchondral bone marrow lesions of the knee: the MOST Study. Ann Rheum Dis 2010; 69: 1796-802.
Bolbos RI, Zuo J, Banerjee S, Link TM, Ma CB, Li X, et al. Relationship between trabecular bone structure and articular cartilage morphology and relaxation times in early OA of the knee joint using parallel MRI at 3 T. Osteoarthritis Cartilage 2008; 16: 1150-9.
Diarra D, Stolina M, Polzer K, Zwerina J, Ominsky MS, Dwyer D, et al. Dickkopf-1 is a master regulator of joint remodelling. Nat Med 2007; 13: 156-63.
Englund M, Roos EM, Roos HP, Lohmander LS. Patient-relevant outcomes fourteen years after meniscectomy: influence of type of meniscal tear and size of resection. Rheumatology (Oxford) 2001; 40: 631-9.
Ding C, Cicuttini F, Jones G. Tibial subchondral bone size and knee cartilage defects: relevance to knee osteoarthritis. Osteoarthritis Cartilage 2007; 15: 479-86.
Burr DB. The importance of subchondral bone in osteoarthrosis. Curr Opin Rheumatol 1998; 10: 256-62.
Kellgren JH, Lawrence JS. Radiological assessment of osteoarthrosis. Ann Rheum Dis 1957; 16: 494-502.
Wang Y, Wluka A, Cicuttini FM. The determinants of change in tibial plateau bone area in osteoarthritic knees: a cohort study. Arthritis Res Ther 2005; 7: R687-93.
Lo GH, Niu J, McLennan CE, Kiel DP, McLean RR, Guermazi A, et al. Meniscal damage associated with increased local subchondral bone mineral density: a Framingham study. Osteoarthritis Cartilage 2008; 16: 261-7.
Adler W, Lausen B. Bootstrap estimated true and false positive rates and ROC curve. Comput Stat Data Anal 2009; 53: 718-29.
Peterfy C, Li J, Zaim S, Duryea J, Lynch J, Miaux Y, et al. Comparison of fixed-flexion positioning with fluoroscopic semi-flexed positioning for quantifying radiographic joint-space width in the knee: test-retest reproducibility. Skeletal Radiol 2003; 32: 128-32.
Podsiadlo P, Dahl L, Englund M, Lohmander LS, Stachowiak GW. Differences in trabecular bone texture between knees with and without radiographic osteoarthritis detected by fractal methods. Osteoarthritis Cartilage 2008; 16: 323-9.
2004; 101
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2010; 37
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1969; C18
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References_xml – reference: Ding M, Odgaard A, Hvid I. Changes in the three-dimensional microstructure of human tibial cancellous bone in early osteoarthritis. J Bone Joint Surg Br 2003; 85: 906-12.
– reference: Shamir L, Ling SM, Scott W, Hochberg M, Ferrucci L, Goldberg IG. Early detection of radiographic knee osteoarthritis using computer-aided analysis. Osteoarthritis Cartilage 2009; 17: 1307-12.
– reference: Altman RD, Hochberg M, Murphy WA Jr, Wolfe F, Lequesne M. Atlas of individual radiographic features in osteoarthritis. Osteoarthritis Cartilage 1995; 3 Suppl A: 3-70.
– reference: Buckland-Wright JC. Subchondral bone changes in hand and knee osteoarthritis detected by radiography. Osteoarthritis Cartilage 2004; 12 Suppl A: S10-9.
– reference: Burr DB, Schaffler MB. The involvement of subchondral mineralized tissues in osteoarthrosis: quantitative microscopic evidence. Microsc Res Tech 1997; 37: 343-57.
– reference: Morvan F, Boulukos K, Clement-Lacroix P, Roman Roman S, Suc-Royer I, Vayssiere B, et al. Deletion of a single allele of the Dkk1 gene leads to an increase in bone formation and bone mass. J Bone Miner Res 2006; 21: 934-45.
– reference: Pothuaud L, Carceller P, Hans D. Correlations between grey-level variations in 2D projection images (TBS) and 3D microarchitecture: applications in the study of human trabecular bone microarchitecture. Bone 2008; 42: 775-87.
– reference: Ding C, Cicuttini F, Jones G. Tibial subchondral bone size and knee cartilage defects: relevance to knee osteoarthritis. Osteoarthritis Cartilage 2007; 15: 479-86.
– reference: Burr DB. Increased biological activity of subchondral mineralized tissues underlies the progressive deterioration of articular cartilage in osteoarthritis. J Rheumatol 2005; 32: 1156-8.
– reference: Wang Y, Wluka A, Cicuttini FM. The determinants of change in tibial plateau bone area in osteoarthritic knees: a cohort study. Arthritis Res Ther 2005; 7: R687-93.
– reference: Peat G, McCarney R, Croft P. Knee pain and osteoarthritis in older adults: a review of community burden and current use of primary health care. Ann Rheum Dis 2001; 60: 91-7.
– reference: Pothuaud L, Benhamou CL, Porion P, Lespessailles E, Harba R, Levitz P. Fractal dimension of trabecular bone projection texture is related to three-dimensional microarchitecture. J Bone Miner Res 2000; 15: 691-9.
– reference: Rubner Y, Tomasi C, Guibas LJ. The earth mover's distance as a metric for image retrieval. Int J Comput Vis 2000; 40: 99-121.
– reference: Englund M, Roos EM, Lohmander LS. Impact of type of meniscal tear on radiographic and symptomatic knee osteoarthritis: a sixteen-year followup of meniscectomy with matched controls. Arthritis Rheum 2003; 48: 2178-87.
– reference: Woloszynski T, Podsiadlo P, Stachowiak GW, Kurzynski M. A signature dissimilarity measure for trabecular bone texture in knee radiographs. Med Phys 2010; 37: 2030-42.
– reference: Peterfy C, Li J, Zaim S, Duryea J, Lynch J, Miaux Y, et al. Comparison of fixed-flexion positioning with fluoroscopic semi-flexed positioning for quantifying radiographic joint-space width in the knee: test-retest reproducibility. Skeletal Radiol 2003; 32: 128-32.
– reference: Valdes AM, Loughlin J, Van Oene M, Chapman K, Surdulescu GL, Doherty M, et al. Sex and ethnic differences in the association of ASPN, CALM1, COL2A1, COMP, and FRZB with genetic susceptibility to osteoarthritis of the knee. Arthritis Rheum 2007; 56: 137-46.
– reference: Nevitt MC, Zhang Y, Javaid MK, Neogi T, Curtis JR, Niu J, et al. High systemic bone mineral density increases the risk of incident knee OA and joint space narrowing, but not radiographic progression of existing knee OA: the MOST study. Ann Rheum Dis 2010; 69: 163-8.
– reference: Adler W, Lausen B. Bootstrap estimated true and false positive rates and ROC curve. Comput Stat Data Anal 2009; 53: 718-29.
– reference: Wolski M, Podsiadlo P, Stachowiak GW, Lohmander LS, Englund M. Differences in trabecular bone texture between knees with and without radiographic osteoarthritis detected by directional fractal signature method. Osteoarthritis Cartilage 2010; 18: 684-90.
– reference: Burr DB. The importance of subchondral bone in osteoarthrosis. Curr Opin Rheumatol 1998; 10: 256-62.
– reference: Kraus VB, Feng S, Wang SC, White S, Ainslie M, Brett A, et al. Trabecular morphometry by fractal signature analysis is a novel marker of osteoarthritis progression. Arthritis Rheum 2009; 60: 3711-22.
– reference: Li J, Sarosi I, Cattley RC, Pretorius J, Asuncion F, Grisanti M, et al. Dkk1-mediated inhibition of Wnt signalling in bone results in osteopenia. Bone 2006; 39: 754-66.
– reference: Lo GH, Niu J, McLennan CE, Kiel DP, McLean RR, Guermazi A, et al. Meniscal damage associated with increased local subchondral bone mineral density: a Framingham study. Osteoarthritis Cartilage 2008; 16: 261-7.
– reference: Kothari M, Guermazi A, von Ingersleben G, Miaux Y, Sieffert M, Block JE, et al. Fixed-flexion radiography of the knee provides reproducible joint space width measurements in osteoarthritis. Eur Radiol 2004; 14: 1568-73.
– reference: Jennane R, Harba G, Lemineur G, Bretteil S, Estrade A, Benhamou CL. Estimation of the 3D self-similarity parameter of trabecular bone from its 2D projection. Med Image Anal 2007; 11: 91-8.
– reference: Kamibayashi L, Wyss UP, Cooke TD, Zee B. Changes in mean trabecular orientation in the medial condyle of the proximal tibia in osteoarthritis. Calcif Tissue Int 1995; 57: 69-73.
– reference: Dore D, Quinn S, Ding C, Winzenberg T, Cicuttini F, Jones G. Subchondral bone and cartilage damage: a prospective study in older adults. Arthritis Rheum 2010; 62: 1967-73.
– reference: Podsiadlo P, Dahl L, Englund M, Lohmander LS, Stachowiak GW. Differences in trabecular bone texture between knees with and without radiographic osteoarthritis detected by fractal methods. Osteoarthritis Cartilage 2008; 16: 323-9.
– reference: Kellgren JH, Lawrence JS. Radiological assessment of osteoarthrosis. Ann Rheum Dis 1957; 16: 494-502.
– reference: Chung HW, Chu CC, Underweiser M, Wehrli FW. On the fractal nature of trabecular structure. Med Phys 1994; 21: 1535-40.
– reference: Li X, Liu P, Liu W, Maye P, Zhang J, Zhang Y, et al. Dkk2 has a role in terminal osteoblast differentiation and mineralized matrix formation. Nat Genet 2005; 37: 945-52.
– reference: Englund M, Guermazi A, Roemer FW, Yang M, Zhang Y, Nevitt MC, et al. Meniscal pathology on MRI increases the risk for both incident and enlarging subchondral bone marrow lesions of the knee: the MOST Study. Ann Rheum Dis 2010; 69: 1796-802.
– reference: Apostol L, Boudousq V, Basset O, Odet C, Yot S, Tabary J, et al. Relevance of 2D radiographic texture analysis for the assessment of 3D bone micro-architecture. Med Phys 2006; 33: 3546-56.
– reference: Tat SK, Lajeunesse D, Pelletier JP, Martel-Pelletier J. Targeting subchondral bone for treating osteoarthritis: what is the evidence? Best Pract Res Clin Rheumatology 2010; 24: 51-70.
– reference: Englund M, Roos EM, Roos HP, Lohmander LS. Patient-relevant outcomes fourteen years after meniscectomy: influence of type of meniscal tear and size of resection. Rheumatology (Oxford) 2001; 40: 631-9.
– reference: Bolbos RI, Zuo J, Banerjee S, Link TM, Ma CB, Li X, et al. Relationship between trabecular bone structure and articular cartilage morphology and relaxation times in early OA of the knee joint using parallel MRI at 3 T. Osteoarthritis Cartilage 2008; 16: 1150-9.
– reference: Lindsey CT, Narasimhan A, Adolfo JM, Jin H, Steinbach LS, Link T, et al. Magnetic resonance evaluation of the interrelationship between articular cartilage and trabecular bone of the osteoarthritic knee. Osteoarthritis Cartilage 2004; 12: 86-96.
– reference: Kamibayashi L, Wyss UP, Cooke TD, Zee B. Trabecular microstructure in the medial condyle of the proximal tibia of patients with knee osteoarthritis. Bone 1995; 17: 27-35.
– reference: Radin EL, Rose RM. Role of subchondral bone in the initiation and progression of cartilage damage. Clin Orthop Relat Res 1986; 213: 34-40.
– reference: Loughlin J, Dowling B, Chapman K, Marcelline L, Mustafa Z, Southham L, et al. Functional variants within the secreted frizzled-related protein 3 gene are associated with hip osteoarthritis in females. Proc Natl Acad Sci U S A 2004; 101: 9757-62.
– reference: Diarra D, Stolina M, Polzer K, Zwerina J, Ominsky MS, Dwyer D, et al. Dickkopf-1 is a master regulator of joint remodelling. Nat Med 2007; 13: 156-63.
– reference: Sammon JW. A nonlinear mapping for data structure analysis. IEEE Trans Comput 1969; C18: 401-9.
– reference: Shamir L, Rahimi S, Orlov N, Ferrucci L, Goldberg IG. Progression analysis and stage discovery in continuous physiological processes using image computing. EURASIP J Bioinform Syst Biol 2010; 2010: 107036.
– reference: Podsiadlo P, Wolski M, Stachowiak GW. Automated selection of trabecular bone regions in knee radiographs. Med Phys 2008; 35: 1870-83.
– reference: Coats AM, Zioupos P, Aspden RM. Material properties of subchondral bone from patients with osteoporosis or osteoarthritis by microindentation testing end electron probe microanalysis. Calcif Tissue Int 2003; 73: 66-71.
– reference: Imhof H, Breitenseher M, Kainberger F, Rand T, Trattnig S. Importance of subchondral bone to articular cartilage in health and disease. Top Magn Reson Imaging 1999; 10: 180-92.
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Snippet Objective To develop a system for predicting the progression of radiographic knee osteoarthritis (OA) using tibial trabecular bone texture. Methods We studied...
To develop a system for predicting the progression of radiographic knee osteoarthritis (OA) using tibial trabecular bone texture. We studied 203 knees with (n...
Objective To develop a system for predicting the progression of radiographic knee osteoarthritis (OA) using tibial trabecular bone texture. Methods We studied...
To develop a system for predicting the progression of radiographic knee osteoarthritis (OA) using tibial trabecular bone texture.OBJECTIVETo develop a system...
Objective To develop a system for predicting the progression of radiographic knee osteoarthritis (OA) using tibial trabecular bone texture. Methods. We studied...
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SubjectTerms Arthrography - methods
Biological and medical sciences
Clinical Medicine
Disease Progression
Diseases of the osteoarticular system
Female
Humans
Klinisk medicin
Knee
Knee Joint - diagnostic imaging
Knee Joint - pathology
Logistic Models
Male
Medical and Health Sciences
Medical sciences
Medicin och hälsovetenskap
Middle Aged
Miscellaneous. Osteoarticular involvement in other diseases
Osteoarthritis
Osteoarthritis, Knee - diagnosis
Osteoarthritis, Knee - diagnostic imaging
Osteoporosis
Predictive Value of Tests
ROC Curve
Tibia - diagnostic imaging
Tibia - pathology
Title Prediction of progression of radiographic knee osteoarthritis using tibial trabecular bone texture
URI https://api.istex.fr/ark:/67375/WNG-XJDZ1FQP-Z/fulltext.pdf
https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fart.33410
https://www.ncbi.nlm.nih.gov/pubmed/21989629
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https://www.proquest.com/docview/1534805588
https://www.proquest.com/docview/925716635
https://lup.lub.lu.se/record/2591400
oai:portal.research.lu.se:publications/f14eef1e-19d0-4fea-a8a5-cae238893101
Volume 64
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