Literature DB >> 22705719

Interrater and intrarater reliability of the Kuntz et al new deformity classification system.

Martin Thaler1, Ricarda Lechner, Michaela Gstöttner, Matthias Luegmair, Michael Liebensteiner, Michael Nogler, Christian Bach.   

Abstract

BACKGROUND: Kuntz et al recently introduced a new system for classifying spinal deformities. This classification of spinal deformity was developed from age-dependent deviations from the neutral upright spinal alignment.
OBJECTIVE: To determine the interobserver and intraobserver reliabilities of the new Kuntz et al system for classifying scoliosis.
METHODS: Fifty consecutive patients were evaluated. Three observers independently assigned a major structural curve, minor structural curve, curve type, apical vertebral rotation, spinal balance, and pelvic alignment to each curve following the guidelines described by Kuntz et al. Assignment of the curves was repeated 4 weeks later, with the curves presented in a different blinded order. The Kendall W and Holsti agreement coefficients were used to determine the interobserver and intraobserver agreement.
RESULTS: The intraobserver value of agreement for all parameters was 0.85 (range, 0.28-1.0), and the mean Kendall W coefficient was 0.89 (range, 0.5-0.97), demonstrating perfect reliability. The interobserver agreement averaged 0.7 (range, 0.251-1.0). The mean Kendall W coefficient was 0.67 (range, 0.19-1.0), demonstrating substantial reliability. The average time for classification of 1 curve was approximately 8.4 minutes.
CONCLUSION: The new Kuntz et al deformity classification system is comparable to the Lenke et al system in terms of reliability. However, the Kuntz et al classification system provides no recommendations for surgical interventions. It is more complex and time-consuming and therefore may be of limited value in daily clinical practice.

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Year:  2012        PMID: 22705719     DOI: 10.1227/NEU.0b013e31824f4e58

Source DB:  PubMed          Journal:  Neurosurgery        ISSN: 0148-396X            Impact factor:   4.654


  1 in total

1.  Rater Reliability of the Hardy Classification for Pituitary Adenomas in the Magnetic Resonance Imaging Era.

Authors:  Michael A Mooney; Douglas A Hardesty; John P Sheehy; C Roger Bird; Kristina Chapple; William L White; Andrew S Little
Journal:  J Neurol Surg B Skull Base       Date:  2017-06-07
  1 in total

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