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Updated: May 25, 2026
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In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy
Published on: July 2, 2021
Computational measurement of joint space width and structural parameters in normal hips.
Takashi Nishii1, Toshiyuki Shiomi, Takashi Sakai
1Department of Orthopaedic Medical Engineering, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan. nishii@ort.med.osaka-u.ac.jp
Archives of Orthopaedic and Trauma Surgery
|January 26, 2012
Summary
Hip joint space width (JSW) varies by location, side, gender, and age. Understanding these factors is crucial for accurate hip osteoarthritis diagnosis beyond just degenerative changes.
Area of Science:
- Orthopedics
- Radiology
- Biomechanical Engineering
Background:
- Previous studies on hip joint space width (JSW) variations in normal populations were limited by radiograph sources, inclusion of osteoarthritis patients, and manual measurement methods.
- This study addresses these limitations by investigating influential factors on JSW using semiautomatic computational software in asymptomatic individuals.
Purpose of the Study:
- To identify factors influencing hip joint space width (JSW) in a normal population.
- To establish reliable measurement techniques for JSW using computational software.
- To provide a basis for accurate hip osteoarthritis diagnosis by considering non-degenerative factors.
Main Methods:
- Utilized customized computational software for semiautomatic measurement of global and local JSW at medial, middle, and lateral compartments in 150 asymptomatic cases (300 hips).
- Assessed hip structural parameters including CE angle and head center distances.
- Ensured measurement reliability through high intraobserver and interobserver reproducibility (ICC > 0.925).
Main Results:
- Significant differences in local JSW were observed, with the largest at the lateral compartment.
- Global and medial JSW were larger in the right hip; global, medial, and middle JSW were smaller in women.
- JSW correlated inversely with CE angle and positively with horizontal head center distance, but not with BMI. Age and vertical head center distance showed correlations only in men.
Conclusions:
- Interindividual variations in hip JSW are influenced by weight-bearing area, side, gender, age, and hip structural parameters.
- Accurate diagnosis and assessment of hip osteoarthritis require consideration of these factors beyond degenerative changes.
- Semiautomatic computational analysis offers a reliable method for measuring JSW and identifying influential factors.
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