Characterizing Healthy Sacroiliac Joint Kinematics During Gait Using Biplane Radiography

Despite highly constrained motion, the sacroiliac joint (SIJ) is implicated in 15-30% of clinical low back pain syndromes. SIJ motion has been estimated in vivo by comparing two or more noncontiguous static positions. However, no literature exists to characterize dynamic in vivo SIJ kinematics during physiologic activity. This study aimed to quantify dynamic multiplanar SIJ motion in healthy individuals during gait using dynamic biplane radiography. Young, healthy participants performed treadmill walking while synchronized biplane radiographs were collected at 50 images/sec for three 1 second trials per side. CT scans of the pelvis and sacrum were used to create 3D bone models via segmentation. Digitally reconstructed radiographs were created from the 3D bone models and matched to the biplane radiographs using a volumetric tracking technique to determine six degree-of-freedom kinematics for the SIJ through the stance phase of gait. Twenty-three left- and nineteen right-sided trials in ten individuals were analyzed. The average SIJ range of motion was 2.0mm, 2.6mm, and 1.3mm in anterior-posterior, superior-inferior, and medial-lateral translation, respectively, and 2.0°, 2.0°, and 1.5° in flexion/extension, internal/external, and ab/adduction rotation, respectively. Kinematics were highly repeatable within an SIJ; the within-subject inter-trial variability was on average less than 1.3mm in translation and 0.7° in rotation. These healthy dynamic SIJ kinematics can be compared to pathologic SIJ kinematics in future studies to identify abnormalities and guide treatment strategies.

Authors

Institutions

Publication Details

Journal
Journal of Biomechanical Engineering
Published
2026-09-17
DOI
https://doi.org/10.1115/1.4072708
Primary Topic
Spine and Intervertebral Disc Pathology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Characterizing Healthy Sacroiliac Joint Kinematics During Gait Using Biplane Radiography

Andrew Sudar, George V. Russell, Edward Godbold, Michael McClincy et al.
Journal of Biomechanical Engineering
Spine and Intervertebral Disc Pathology
article

Characterizing Healthy Sacroiliac Joint Kinematics During Gait Using Biplane Radiography

Andrew Sudar, George V. Russell, Edward Godbold, Michael McClincy, M. Zino Kuhn, William Anderst, Stephen P. Canton
article en

Abstract

Despite highly constrained motion, the sacroiliac joint (SIJ) is implicated in 15-30% of clinical low back pain syndromes. SIJ motion has been estimated in vivo by comparing two or more noncontiguous static positions. However, no literature exists to characterize dynamic in vivo SIJ kinematics during physiologic activity. This study aimed to quantify dynamic multiplanar SIJ motion in healthy individuals during gait using dynamic biplane radiography. Young, healthy participants performed treadmill walking while synchronized biplane radiographs were collected at 50 images/sec for three 1 second trials per side. CT scans of the pelvis and sacrum were used to create 3D bone models via segmentation. Digitally reconstructed radiographs were created from the 3D bone models and matched to the biplane radiographs using a volumetric tracking technique to determine six degree-of-freedom kinematics for the SIJ through the stance phase of gait. Twenty-three left- and nineteen right-sided trials in ten individuals were analyzed. The average SIJ range of motion was 2.0mm, 2.6mm, and 1.3mm in anterior-posterior, superior-inferior, and medial-lateral translation, respectively, and 2.0°, 2.0°, and 1.5° in flexion/extension, internal/external, and ab/adduction rotation, respectively. Kinematics were highly repeatable within an SIJ; the within-subject inter-trial variability was on average less than 1.3mm in translation and 0.7° in rotation. These healthy dynamic SIJ kinematics can be compared to pathologic SIJ kinematics in future studies to identify abnormalities and guide treatment strategies.

Journal of Biomechanical Engineering
University of Pittsburgh (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 12%
Spine and Intervertebral Disc Pathology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.