Correlation between a Novel Surface Topography Asymmetry Analysis and Radiographic Data in Scoliosis

Amin Komeili, Lindsey Westover, Eric C. Parent, Marwan El-Rich, Samer Adeeb

Research output: Contribution to journalArticlepeer-review

25 Scopus citations

Abstract

Study Design: Cross-sectional study. Objective: To investigate the correlation between parameters extracted from a three-dimensional (3D) asymmetry analysis of the torso and the internal deformities of the spine presented on radiographs, including 1) curve number, direction and location; 2) location of the apical vertebra; and 3) curve severity. Summary of Background Data: Surface topography (ST) is used to assess external torso deformities and may predict important characteristics of the underlying spinal curves. ST does not expose patients to radiation and could safely be used clinically for scoliosis patients. Most ST indices rely on anatomical landmarks on the torso and 2D measurements. Methods: The ability of a 3D markerless asymmetry technique to predict radiographic characteristics was assessed for 100 scoliosis patients with full torso ST scans. Twenty-four additional patients were used for validation. The number, direction, and location of curves were determined by three examiners using ST deviation color maps. The inter-method percentage of agreement and Kappa coefficient were estimated for each measure. Linear regression predicted the vertical location of the apical vertebra from ST. Curve severity (mild, moderate, severe) was predicted with a decision tree analysis using ST parameters. Results: The average percentage of agreement was 62%, 66%, and 23% for single, double, and triple curves, respectively. Curve direction was always correctly identified. The average percentages of agreement for curve location were 63%, 92%, and 62% for proximal thoracic, thoracic/thoracolumbar (T-TL), and lumbar (L) curves, respectively. Apical vertebra location was predicted with R2 = 0.89 for T-TL and R2 = 0.58 for L curves. ST parameters classified curve severity for T-TL and L curves with 73% and 59% accuracy, respectively. Conclusions: The method presented here improves upon current ST techniques by using the entire torso surface and both a visual and quantitative representation of the asymmetry to better capture the torso deformity.

Original languageBritish English
Pages (from-to)303-311
Number of pages9
JournalSpine Deformity
Volume3
Issue number4
DOIs
StatePublished - 1 Jul 2015

Keywords

  • Adolescent idiopathic
  • Asymmetry analysis
  • Radiography
  • Scoliosis
  • Surface topography

Fingerprint

Dive into the research topics of 'Correlation between a Novel Surface Topography Asymmetry Analysis and Radiographic Data in Scoliosis'. Together they form a unique fingerprint.

Cite this