title: MRI texture analysis of subchondral bone at the tibial plateau.
abstract: OBJECTIVE
  To determine the feasibility of MRI texture analysis as a method of quantifying subchondral bone architecture in knee osteoarthritis (OA).
  
  
  METHODS
  Asymptomatic 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.
  
  
  RESULTS
  Significant 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 %).
  
  
  CONCLUSIONS
  MRI 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.
  
  
  CONCLUSIONS
  • 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.
authors.affiliation: Radiology Academy, Department of Radiology, Norfolk & Norwich University Hospital, Colney Lane, Norwich, Norfolk, NR4 7UB, UK. james.mackay@nnuh.nhs.uk.
authors.forename: James W
authors.initials: JW
authors.lastname: MacKay
authors.affiliation: Radiology Academy, Department of Radiology, Norfolk & Norwich University Hospital, Colney Lane, Norwich, Norfolk, NR4 7UB, UK.
authors.forename: Philip J
authors.initials: PJ
authors.lastname: Murray
authors.affiliation: Radiology Academy, Department of Radiology, Norfolk & Norwich University Hospital, Colney Lane, Norwich, Norfolk, NR4 7UB, UK.
authors.forename: Bahman
authors.initials: B
authors.lastname: Kasmai
authors.affiliation: Radiology Academy, Department of Radiology, Norfolk & Norwich University Hospital, Colney Lane, Norwich, Norfolk, NR4 7UB, UK.|Norwich Medical School, University of East Anglia, Norwich, UK.
authors.forename: Glyn
authors.initials: G
authors.lastname: Johnson
authors.affiliation: Norwich Medical School, University of East Anglia, Norwich, UK.|Department of Trauma & Orthopaedics, Norfolk & Norwich University Hospital, Norwich, UK.
authors.forename: Simon T
authors.initials: ST
authors.lastname: Donell
authors.affiliation: Radiology Academy, Department of Radiology, Norfolk & Norwich University Hospital, Colney Lane, Norwich, Norfolk, NR4 7UB, UK.|Norwich Medical School, University of East Anglia, Norwich, UK.
authors.forename: Andoni P
authors.initials: AP
authors.lastname: Toms
mesh_terms: D000328:Adult; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D002358:Cartilage, Articular / Q000000981:diagnostic imaging* / Q000473:pathology; D005240:Feasibility Studies; D005260:Female; D006801:Humans; D007719:Knee Joint / Q000000981:diagnostic imaging* / Q000473:pathology; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D008875:Middle Aged; D020370:Osteoarthritis, Knee / Q000000981:diagnostic imaging* / Q000473:pathology; D011446:Prospective Studies; D013977:Tibia / Q000000981:diagnostic imaging* / Q000473:pathology; D055815:Young Adult
keywords: Bone; Discriminant analysis; Knee; MRI; Osteoarthritis