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A Novel Lumbar Motion Segment Classification to Predict Changes in Segmental Sagittal Alignment After Lateral
Frank L Acosta1, Vivek A Mehta1, Anush Arakelyan1
1University of Southern California, Los Angeles, CA, USA.
A new classification system for facet joints helps predict how well lumbar fusion surgery will correct spinal alignment. This motion segment grade (MSG) system aids in anticipating postoperative outcomes for patients undergoing lateral lumbar interbody fusion.
Area of Science:
- Spine surgery
- Orthopedic research
- Biomechanical analysis
Background:
- Lateral interbody fusion is increasingly used for lumbar spine correction.
- Posterior facet joint hypertrophy can impact postoperative sagittal alignment.
- Predicting correction is crucial for successful surgical outcomes.
Purpose of the Study:
- To introduce a novel preoperative motion segment classification system (MSG).
- To predict postoperative segmental sagittal alignment after lateral lumbar interbody fusion.
- To correlate facet joint osseous anatomy with surgical correction.
Main Methods:
- Retrospective cohort study analyzing CT scans from 3 institutions.
- Facet joints were graded (0-2), summed for a motion segment grade (MSG 0-4).
- Segmental lordosis measured pre- and post-operatively; % graft lordosis (%GL) calculated.
Main Results:
- 59 operated levels in 36 patients analyzed.
- Mean %GL decreased significantly with increasing MSG (MSG 0: 115% to MSG 4: 5%).
- MSG was a significant predictor of postoperative %GL (P < .01).
Conclusions:
- A novel facet-based motion segment classification system was developed.
- This MSG system significantly predicts postoperative segmental lordosis.
- The classification aids in anticipating surgical correction in lateral lumbar interbody fusion.
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