Normative reference values of joint space width estimated by computer-aided joint space analysis (CAJSA): the distal interphalangeal joint

J Digit Imaging. 2008 Oct;21 Suppl 1(Suppl 1):104-12. doi: 10.1007/s10278-007-9031-x. Epub 2007 Mar 24.

Abstract

Purpose: The study introduces reference data for a computer-aided analysis. The semiautomated computer-aided diagnostic system provides the estimation of joint space width at the distal interphalangeal joints, considering gender-specific and age-related changes.

Patients and methods: 869 subjects (351 female/518 male) with hand x-rays were included and underwent measurements of joint space distances at the distal interphalangeal articulation (JSD-DIP) of the second to the fifth finger using computer-aided joint space analysis (CAJSA).

Results: Data showed a notable age-related decrease of CAJSA parameters, and an accentuated age-related joint space narrowing in women. Males showed a significantly wider JSD-DIP (+ 16.7%) compared to the female cohort for all age groups. Both men and women revealed an accentuated decrease of JSD-DIP (total) in the age group from 10 to 15 years (for men -10.5% and for women -17.6%). After the age of 21 years a continuous decline of the JSD-DIP (total) is observed.

Conclusion: Our data present gender-specific and age-related normative reference data for computer-aided joint space analysis, which provide a valid and reliable differentiation between disease-related joint space narrowing and age-related joint space narrowing, particularly in patients with osteoarthritis of the fingers.

MeSH terms

  • Adolescent
  • Adult
  • Age Factors
  • Aged
  • Aged, 80 and over
  • Child
  • Cohort Studies
  • Diagnosis, Computer-Assisted / methods
  • Female
  • Finger Joint / anatomy & histology
  • Finger Joint / diagnostic imaging*
  • Humans
  • Male
  • Metacarpophalangeal Joint / anatomy & histology
  • Metacarpophalangeal Joint / diagnostic imaging*
  • Middle Aged
  • Probability
  • Prospective Studies
  • Radiographic Image Enhancement / instrumentation
  • Radiographic Image Enhancement / methods*
  • Radiographic Image Interpretation, Computer-Assisted*
  • Sex Factors
  • Statistics, Nonparametric
  • Young Adult