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Updated: Jul 8, 2026

Automated Joint Space Detection Improves Bone Segmentation Accuracy
Published on: November 28, 2025
Anatomical variations with joint space measurements on CT
Mehmet Demir1, Ayfer Mavi, Erdem Gümüsburun
1Department of Anatomy, Faculty of Medicine, Gaziantep University, Turkey. mdemir@gantep.edu.tr
Anatomical variations of the sacroiliac joint are common and influenced by age, gender, BMI, and childbirth. These variants affect joint space uniformity and width, crucial for interpreting CT scans.
Area of Science:
- Radiology
- Anatomy
- Medical Imaging
Background:
- Sacroiliac joint anatomical variations are not fully understood.
- Factors like age, gender, BMI, and childbirth may influence these variations.
- Understanding these variations is key for accurate interpretation of sacroiliac joint imaging.
Purpose of the Study:
- To determine the type and frequency of sacroiliac joint anatomical variations.
- To investigate the relationship between these variations and patient demographics (age, gender, BMI, childbirth).
- To assess the impact of anatomical variants on sacroiliac joint space uniformity and width.
Main Methods:
- Pelvic CT scans of 400 patients (age ≥ 15) without sacroiliac complaints were analyzed.
- Observed anatomical variants included accessory joints, iliosacral complex, bipartite iliac plate, defects, crescent plates, and ossification centers.
- Joint space width and uniformity were measured and correlated with demographic data.
Main Results:
- Common variants: accessory sacroiliac joint (17.5%), iliosacral complex (9.5%).
- Mean joint space width was 1.72 mm, narrower in older adults (1.47 mm) vs. younger adults (2.49 mm).
- Joints with variants (79.6%) showed non-uniform space and were narrower (<2 mm in 93.7%).
Conclusions:
- Sacroiliac joint anatomical variations are prevalent and independently associated with age, gender, BMI, and childbirth.
- These variations significantly impact sacroiliac joint space characteristics.
- Findings aid in the interpretation of sacroiliac computed tomography images.
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