MRI texture analysis of subchondral bone at the tibial plateau

ObjectivesTo determine the feasibility of MRI texture analysis as a method of quantifying subchondral bone architecture in knee osteoarthritis (OA).MethodsAsymptomatic subjects aged 20–30 (group 1, n = 10), symptomatic patients aged 40–50 (group 2, n = 10) and patients scheduled for knee replacement aged 55–85 (group 3, n = 10) underwent high spatial resolution T1-weighted coronal 3T knee MRI.Regions of interest were created in the medial (MT) and lateral (LT) tibial subchondral bone from which 20 texture parameters were calculated. T2 mapping of the tibial cartilage was performed in groups 1 and 2. Mean parameter values were compared between groups using ANOVA. Linear discriminant analysis (LDA) was used to evaluate the ability of texture analysis to classify subjects correctly.ResultsSignificant differences in 18/20 and 12/20 subchondral bone texture parameters were demonstrated between groups at the MT and LT respectively. There was no significant difference in mean MT or LT cartilage T2 values between group 1 and group 2.LDA demonstrated subject classification accuracy of 97 % (95 % CI 91–100 %).ConclusionMRI texture analysis of tibial subchondral bone may allow detection of alteration in subchondral bone architecture in OA. This has potential applications in understanding OA pathogenesis and assessing response to treatment.Key Points• Improved techniques to monitor OA disease progression and treatment response are desirable• Subchondral bone (SB) may play significant role in the development of OA• MRI texture analysis is a method of quantifying changes in SB architecture• Pilot study showed that this technique is feasible and reliable• Significant differences in SB texture were demonstrated between individuals with/without OA

[1]  A. Radjenovic,et al.  Role of vascular channels as a novel mechanism for subchondral bone damage at cruciate ligament entheses in osteoarthritis and inflammatory arthritis , 2013, Annals of the rheumatic diseases.

[2]  K. Brandt,et al.  Motion for debate: osteoarthritis clinical trials have not identified efficacious therapies because traditional imaging outcome measures are inadequate. , 2013, Arthritis and rheumatism.

[3]  J. Babb,et al.  Evaluation of subchondral bone marrow lipids of acute anterior cruciate ligament (ACL)-injured patients at 3 T. , 2014, Academic radiology.

[4]  Marc Levenston,et al.  Mechanisms of osteoarthritis in the knee: MR imaging appearance , 2014, Journal of magnetic resonance imaging : JMRI.

[5]  S. Majumdar,et al.  Assessment of trabecular structure using high resolution CT images and texture analysis. , 1998, Journal of computer assisted tomography.

[6]  H.Z. Tameem,et al.  Texture Measure from Low Resolution MR Images to Determine Trabecular Bone Integrity in Osteoporosis , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[7]  R. Rose,et al.  Role of Subchondral Bone in the Initiation and Progression of Cartilage Damage , 1986, Clinical orthopaedics and related research.

[8]  C. Buckland-Wright,et al.  Cancellous bone differences between knees with early, definite and advanced joint space loss; a comparative quantitative macroradiographic study. , 2005, Osteoarthritis and cartilage.

[9]  O. Bruyère,et al.  Subchondral tibial bone mineral density predicts future joint space narrowing at the medial femoro-tibial compartment in patients with knee osteoarthritis. , 2002, Bone.

[10]  Andrzej Materka,et al.  Texture analysis for tissue discrimination on T1‐weighted MR images of the knee joint in a multicenter study: Transferability of texture features and comparison of feature selection methods and classifiers , 2005, Journal of magnetic resonance imaging : JMRI.

[11]  Anil K. Jain,et al.  Artificial neural networks for feature extraction and multivariate data projection , 1995, IEEE Trans. Neural Networks.

[12]  G. Gold,et al.  MR imaging of articular cartilage physiology. , 2011, Magnetic resonance imaging clinics of North America.

[13]  F. Cendes,et al.  Texture analysis of medical images. , 2004, Clinical radiology.

[14]  Michal Strzelecki,et al.  MaZda - A software package for image texture analysis , 2009, Comput. Methods Programs Biomed..

[15]  Bradley D. Clymer,et al.  Three-dimensional texture analysis of cancellous bone cores evaluated at clinical CT resolutions , 2006, Osteoporosis International.

[16]  J M Bland,et al.  Statistical methods for assessing agreement between two methods of clinical measurement , 1986 .

[17]  Minna Sikiö,et al.  MRI texture analysis of femoral neck: Detection of exercise load‐associated differences in trabecular bone , 2011, Journal of magnetic resonance imaging : JMRI.

[18]  J. Babb,et al.  7T MRI detects deterioration in subchondral bone microarchitecture in subjects with mild knee osteoarthritis as compared with healthy controls , 2015, Journal of magnetic resonance imaging : JMRI.

[19]  J Duryea,et al.  Quantitative analysis of subchondral sclerosis of the tibia by bone texture parameters in knee radiographs: site-specific relationships with joint space width. , 2009, Osteoarthritis and cartilage.

[20]  L. Price,et al.  Cross-sectional DXA and MR measures of tibial periarticular bone associate with radiographic knee osteoarthritis severity. , 2012, Osteoarthritis and cartilage.

[21]  Flavia Cicuttini,et al.  Cross-sectional and longitudinal associations between systemic, subchondral bone mineral density and knee cartilage thickness in older adults with or without radiographic osteoarthritis , 2013, Annals of the rheumatic diseases.

[22]  Jh. Kellgren Radiological assessment of osteoarthrosis , 1957 .

[23]  S. Majumdar,et al.  The feasibility of characterizing the spatial distribution of cartilage T(2) using texture analysis. , 2008, Osteoarthritis and cartilage.

[24]  J. MacKay,et al.  MRI signal-based quantification of subchondral bone at the tibial plateau: a population study , 2014, Skeletal Radiology.

[25]  C. Eaton,et al.  Magnetic resonance imaging evaluation of weight-bearing subchondral trabecular bone in the knee , 2010, Skeletal Radiology.

[26]  A. Carr,et al.  Questionnaire on the perceptions of patients about total knee replacement. , 1998, The Journal of bone and joint surgery. British volume.

[27]  L. Price,et al.  Validation of quantitative magnetic resonance imaging-based apparent bone volume fraction in peri-articular tibial bone of cadaveric knees , 2014, BMC Musculoskeletal Disorders.

[28]  Eini Niskanen,et al.  3D Texture Analysis Reveals Imperceptible MRI Textural Alterations in the Thalamus and Putamen in Progressive Myoclonic Epilepsy Type 1, EPM1 , 2013, PloS one.

[29]  W A Kalender,et al.  Bone marrow lesions identified by MRI in knee osteoarthritis are associated with locally increased bone mineral density measured by QCT. , 2013, Osteoarthritis and cartilage.

[30]  Dina Muin,et al.  Texture-based classification of different gastric tumors at contrast-enhanced CT. , 2013, European journal of radiology.

[31]  V. Goh,et al.  Assessment of primary colorectal cancer heterogeneity by using whole-tumor texture analysis: contrast-enhanced CT texture as a biomarker of 5-year survival. , 2013, Radiology.

[32]  J. Singer,et al.  The relationship between subchondral sclerosis detected with MRI and cartilage loss in a cohort of subjects with knee pain: the knee osteoarthritis progression (KOAP) study. , 2014, Osteoarthritis and cartilage.

[33]  A. Beckett,et al.  AKUFO AND IBARAPA. , 1965, Lancet.

[34]  R. Ojala,et al.  Effects of High‐Impact Training on Bone and Articular Cartilage: 12‐Month Randomized Controlled Quantitative MRI Study , 2014, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[35]  S. Majumdar,et al.  T2 relaxation time of cartilage at MR imaging: comparison with severity of knee osteoarthritis. , 2004, Radiology.

[36]  D. Altman,et al.  STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT , 1986, The Lancet.

[37]  T. Schnitzer,et al.  Subchondral bone trabecular integrity predicts and changes concurrently with radiographic and magnetic resonance imaging-determined knee osteoarthritis progression. , 2013, Arthritis and rheumatism.

[38]  S. Majumdar,et al.  Evaluation of technical factors affecting the quantification of trabecular bone structure using magnetic resonance imaging. , 1995, Bone.

[39]  Sharmila Majumdar,et al.  A pilot, two-year longitudinal study of the interrelationship between trabecular bone and articular cartilage in the osteoarthritic knee. , 2004, Osteoarthritis and cartilage.

[40]  Toru Okano,et al.  Role of subchondral bone in osteoarthritis development: a comparative study of two strains of guinea pigs with and without spontaneously occurring osteoarthritis. , 2007, Arthritis and rheumatism.

[41]  J. Kellgren,et al.  Radiological Assessment of Osteo-Arthrosis , 1957, Annals of the rheumatic diseases.

[42]  M. Buschmann,et al.  Characterization of Subchondral Bone Repair for Marrow-Stimulated Chondral Defects and Its Relationship to Articular Cartilage Resurfacing , 2011, The American journal of sports medicine.

[43]  Robert M. Haralick,et al.  Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..

[44]  Dragica Bobinac,et al.  Changes in articular cartilage and subchondral bone histomorphometry in osteoarthritic knee joints in humans. , 2003, Bone.

[45]  A. Bailey,et al.  Bone, not cartilage, should be the major focus in osteoarthritis , 2007, Nature Clinical Practice Rheumatology.

[46]  David T Felson,et al.  Patterns of compartment involvement in tibiofemoral osteoarthritis in men and women and in whites and African Americans , 2012, Arthritis care & research.