Spino-pelvic parameters after surgery can be predicted: A preliminary formula and validation of standing alignment

Virginie Lafage, Frank Schwab, Shaleen Vira, Ashish Patel, Benjamin Ungar, Jean Pierre Farcy

Research output: Contribution to journalArticlepeer-review

152 Scopus citations


Study Design.: Prospective and retrospective radiographic study of adult patients with spinal deformities. Objective.: Construct predictive models for pelvic tilt (PT) and global sagittal balance (sagittal vertical axis [SVA]) and evaluate the effectiveness of these predictive models against a group of patients after pedicle subtraction osteotomy. Summary of Background Data.: Spinal balance involves a complex interaction between the pelvis and vertebral column. In the setting of adult spinal deformity, prediction of postoperative alignment can be challenging. Methods.: The study included 219 adult patients treated for spinal deformity. Full-length standing films were available for all subjects. Multilinear models with a stepwise condition were used on the first group of patients (n 5 179) to predict PT and global sagittal balance (measured by the SVA). Prediction models were then applied on a second group of patients (n 5 40) to estimate postoperative radiographic parameters after pedicle subtraction osteotomy surgery. Differences between estimated parameters and real values were evaluated. Results.: Multilinear regression analysis applied on the first group of patients led to a predictive formula for PT (r 5 0.93, standard error = 4.4°) using the following parameters: pelvic incidence, maximal lordosis, and maximal kyphosis. These parameters with the addition of the predicted PT were then used to predict the SVA (r 5 0.89, standard error 5 32 mm). Validation of predictive models (second group of patients) used pelvic incidence and postoperative sagittal curves. Postoperative PT was predicted with a mean error of 4.3° (SD 3.5°) and postoperative SVA was predicted with a mean error of 29 mm (SD 5 23 mm). Conclusion.: This is the first study to develop and validate pragmatic predictive models for key spino-pelvic parameters (PT and SVA) in the setting of adult spinal deformity. Using a morphologic pelvic parameter (pelvic incidence) and spinal parameters modifiable through surgery (lumbar lordosis and thoracic kyphosis), postoperative sagittal alignment can be predicted.

Original languageEnglish (US)
Pages (from-to)1037-1045
Number of pages9
Issue number13
StatePublished - Jun 1 2011
Externally publishedYes


  • Spino-pelvic alignment
  • adult spinal deformity
  • balance formula
  • sagittal plane
  • standing alignment

ASJC Scopus subject areas

  • Orthopedics and Sports Medicine
  • Clinical Neurology


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