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Segmental Pelvic Correlation (SPeC): a novel approach to understanding sagittal plane spinal alignment
Hanny A Anwar1, Joseph S Butler1, Tejas Yarashi1
1Spinal Deformity Unit, Royal National Orthopaedic Hospital, Brockley Hill, Stanmore, Middlesex HA7 4LP, UK.
The Spine Journal : Official Journal of the North American Spine Society
|September 27, 2015
Summary
Pelvic incidence strongly correlates with lumbar lordosis (LL) and predicts segmental angulation. As pelvic incidence increases, upper lumbar segments (L1-L2) become more critical in fine-tuning total LL.
Area of Science:
- Orthopedics
- Radiology
- Spine Surgery
Background:
- Lumbar lordosis (LL) is linked to pelvic morphology, with higher LL associated with cranial shifts in inflection points.
- Understanding the specific relationship between each lumbar segment and pelvic morphology is crucial.
Purpose of the Study:
- To determine if a direct relationship exists between pelvic morphology and lumbar segmental angulation in the sagittal plane.
- To investigate the predictive value of pelvic incidence on lumbar spine alignment.
Main Methods:
- Retrospective analysis of 41 lateral whole spine radiographs with normal sagittal profiles.
- Measurement of spinopelvic parameters: pelvic incidence (PI), LL, thoracic kyphosis (TK), and segmental angulation (L1-S1).
- Pearson correlation coefficients were used to analyze relationships between pelvic parameters and segmental angulation.
Main Results:
- A strong correlation was observed between pelvic incidence (PI) and lumbar lordosis (LL).
- PI showed a strong correlation with L1 and L2 motion segments, particularly intervertebral discs.
- The contribution of L4-L5 and L5-S1 to total LL decreased as PI increased.
Conclusions:
- Pelvic incidence is a significant predictor of lumbar segmental angulation.
- While L4-L5 and L5-S1 traditionally contribute most to LL, cephalad segments (L1-L2) play an increasingly vital role in fine-tuning LL as PI rises.
- This understanding facilitates identification of segmental abnormalities and informs anatomical reconstruction strategies for degenerative adult spinal deformity.
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