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Updated: Feb 15, 2026

Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults
Published on: November 7, 2014
Normal variation in sagittal spinal alignment parameters in adult patients: an EOS study using serial imaging
Hwee Weng Dennis Hey1, Kian Loong Melvin Tan2, Vikaesh Moorthy3
1University Orthopaedics, Hand and Reconstructive Microsurgery (UOHC), National University Health System, 1E Kent Ridge Road, NUHS Tower Block Level 11, Singapore, 119228, Singapore. dennis_hey@nuhs.edu.sg.
Sagittal spinal parameters show minor variations over time, with pelvic tilt and SVA exhibiting the most significant changes. Patient-specific trends, not single assessments, are crucial for accurate interpretation.
Area of Science:
- Spine biomechanics
- Radiographic analysis
- Orthopedic imaging
Background:
- Understanding normal spinal alignment is crucial for diagnosing and managing low back pain.
- Serial radiographic assessments are often used to monitor spinal changes over time.
- Establishing physiological norms for sagittal spinal parameters is essential for accurate interpretation.
Purpose of the Study:
- To characterize normal variations in sagittal spinal radiographic parameters over an interval period.
- To establish physiological norms for interpreting serial spinal images.
- To provide guidelines for the clinical interpretation of sagittal spinal parameters.
Main Methods:
- Prospective data collection from adult patients with first-episode mild low back pain.
- EOS® slot scanner used for whole-body sagittal X-rays at two time points, 6 months apart.
- Analysis of sagittal parameters including CL, TK, TL, LL, PI, PT, SS, and vertebral levels; statistical comparison using Chi-squared and Wilcoxon Signed Rank tests.
Main Results:
- Sixty patients (120 X-rays) analyzed; mean age 52.1 years; mean interval 126.2 days.
- Small variations (<1°) observed in most parameters, except PT (1.2°), CL (1.2°), and SVA (2.9 cm).
- Pelvic tilt showed a significant difference between serial images (p=0.035); consistent sagittal curve shapes found.
Conclusions:
- Sagittal spinal parameters exhibit dynamic variations between serial radiographic images.
- Pelvic tilt (PT) and sagittal vertical axis (SVA) demonstrate the widest variations.
- Interpretation should focus on patient-specific trends rather than isolated measurements for accurate spinal assessment.
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