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Erschienen in: European Spine Journal 3/2018

13.01.2018 | Original Article

Normal variation in sagittal spinal alignment parameters in adult patients: an EOS study using serial imaging

verfasst von: Hwee Weng Dennis Hey, Kian Loong Melvin Tan, Vikaesh Moorthy, Eugene Tze-Chun Lau, Leok-Lim Lau, Gabriel Liu, Hee-Kit Wong

Erschienen in: European Spine Journal | Ausgabe 3/2018

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Abstract

Purpose

To describe normal variations in sagittal spinal radiographic parameters over an interval period and establish physiological norms and guidelines for which these images should be interpreted.

Methods

Data were prospectively collected from a continuous series of adult patients with first-episode mild low back pain presenting to a single institution. The sagittal parameters of two serial radiographic images taken 6-months apart were obtained with the EOS® slot scanner. Measured parameters include CL, TK, TL, LL, PI, PT, SS, and end and apical vertebrae. Chi-squared test and Wilcoxon Signed Rank test were used to compare categorical and continuous variables, respectively.

Results

Sixty patients with a total of 120 whole-body sagittal X-rays were analysed. Mean age was 52.1 years (SD 21.2). Mean interval between the first and second X-rays was 126.2 days (SD 47.2). Small variations (< 1°) occur for all except PT (1.2°), CL (1.2°), and SVA (2.9 cm). Pelvic tilt showed significant difference between two images (p = 0.035). Subgroup analysis based on the time interval between X-rays, and between the first and second X-rays, did not show significant differences. Consistent findings were found for end and apical vertebrae of the thoracic and lumbar spine between the first and second X-rays for sagittal curve shapes.

Conclusions

Radiographic sagittal parameters vary between serial images and reflect dynamism in spinal balancing. SVA and PT are predisposed to the widest variation. SVA has the largest variation between individuals of low pelvic tilt. Therefore, interpretation of these parameters should be patient specific and relies on trends rather than a one-time assessment.
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Metadaten
Titel
Normal variation in sagittal spinal alignment parameters in adult patients: an EOS study using serial imaging
verfasst von
Hwee Weng Dennis Hey
Kian Loong Melvin Tan
Vikaesh Moorthy
Eugene Tze-Chun Lau
Leok-Lim Lau
Gabriel Liu
Hee-Kit Wong
Publikationsdatum
13.01.2018
Verlag
Springer Berlin Heidelberg
Erschienen in
European Spine Journal / Ausgabe 3/2018
Print ISSN: 0940-6719
Elektronische ISSN: 1432-0932
DOI
https://doi.org/10.1007/s00586-017-5459-y

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