title: Location specific radiographic joint space width for osteoarthritis progression.
abstract: OBJECTIVE
  To establish the performance of location specific computer measures of radiographic joint space width (JSW) compared to measurements of minimum joint space width (mJSW) for the assessment of medial compartment knee osteoarthritis (OA). The study also investigated the most disease-responsive location for measuring medial compartment JSW.
  
  
  METHODS
  Serial bilateral Posterior Anterior (PA) conventional radiographs acquired with a fixed flexion protocol were obtained 36 months apart in 118 persons with knee OA participating in the Health, Aging and Body Composition (Health ABC) Study. Measurements of medial compartment mJSW and JSW at seven fixed locations were facilitated by the use of semi-automated software that delineated the femoral and tibial margins of the joint. A human reader operated custom software to verify and correct the software-drawn margins where necessary. Paired images were displayed with the reader blinded to the chronological order. The amount of joint space narrowing was measured and the standardized response mean (SRM) was used as a metric to quantify performance.
  
  
  RESULTS
  For all subjects, the mJSW SRM value was 0.42 while, for the most responsive location specific measure of JSW, it was SRM=0.46. For subjects with a Kellgren-Lawrence (KL) score less than or equal to 1, mJSW (SRM=0.40) was more responsive than the new measures (Maximum SRM=0.30). For KL=2or3, SRM=0.49 for mJSW, and SRM=0.74 for the most responsive location specific measure of JSW. Improved responsiveness was observed in the more central portion of the joint on the more diseased knees.
  
  
  CONCLUSIONS
  Location specific computer measures of JSW are feasible and potentially provide a superior method to assess radiographic OA for more diseased subjects. This new measure has the potential to improve the power of clinical studies that use a fixed flexion protocol.
authors.affiliation: Radiology, Brigham and Women's Hospital/Harvard Medical School, Boston, MA 02115, USA.
authors.forename: G
authors.initials: G
authors.lastname: Neumann
authors.forename: D
authors.initials: D
authors.lastname: Hunter
authors.forename: M
authors.initials: M
authors.lastname: Nevitt
authors.forename: L B
authors.initials: LB
authors.lastname: Chibnik
authors.forename: K
authors.initials: K
authors.lastname: Kwoh
authors.forename: H
authors.initials: H
authors.lastname: Chen
authors.forename: T
authors.initials: T
authors.lastname: Harris
authors.forename: S
authors.initials: S
authors.lastname: Satterfield
authors.forename: J
authors.initials: J
authors.lastname: Duryea
mesh_terms: D000368:Aged; D000465:Algorithms; D002358:Cartilage, Articular / Q000000981:diagnostic imaging* / Q000502:physiology; D018450:Disease Progression; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods; D007719:Knee Joint / Q000000981:diagnostic imaging* / Q000503:physiopathology; D008297:Male; D020370:Osteoarthritis, Knee / Q000000981:diagnostic imaging* / Q000503:physiopathology; D011859:Radiography; D016059:Range of Motion, Articular / Q000502:physiology*