- Oral presentation
- Open Access
Can bending radiographs be useful for Lenke classification system of idiopathic scoliosis?
© Tyrakowski et al; licensee BioMed Central Ltd. 2013
- Published: 3 June 2013
- Classification System
- Idiopathic Scoliosis
- Kappa Statistic
- Kappa Coefficient
- Lateral Radiograph
Lenke classification of idiopathic scoliosis (IS) is based on standing ap and lateral radiographs, combined with assessment of scoliosis correction on bending X-rays.
The aim of this study was to verify the usefulness of bending films for Lenke classification of IS.
The radiographs of 30 consecutive patients operated on because of IS were examined. Seven independent researchers assessed the X-rays, in 3 stages at one week intervals.
Stage 1: Lenke type was determined on AP and lateral long film standing X-rays.
Stage 2: Lenke type was established by use of AP and lateral standing X-rays, completed with supine traction films.
Stage 3: Lenke type was indicated using AP and lateral standing, supine traction, and lateral bending films.
The order of the radiographs, in each stage, was different and random. The results were determined by calculating the inter-observer and intra-observer agreement, and were quantified using two-rater and multi-rater kappa statistics.
The inter-rater agreement in the first, and second, stage was moderate (multi-rater kappa coefficient: 0.41 in the first stage and 0.43 in the second stage; percentage agreement: 0.56 and 0.55 respectively). The inter-rater agreement in the third stage was less (multi-rater kappa coefficient: 0.34 and percentage agreement: 0.47). The intra-observer agreement was the highest between the first and second stage for each of the researchers (mean kappa coefficient: 0.69; mean percentage agreement: 0.76).
The use of lateral bending X-rays in classifying the IS, according to the criteria of Lenke, reduced the intra-rater and the inter-rater agreement. Supine traction radiographs of the spine improved the agreement. This may suggest that the supine traction X-rays may help in classifying the IS.
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