Identifying sources of variability in scoliosis classification using a rule-based automated algorithm

Spine

Volumn 27, Issue 24, 2002, Pages 2801-2805

  Stokes, Ian A F ^a   Aronsson, David D ^a  

^a UNIVERSITY OF VERMONT   (United States)

Author keywords

Algorithm; Classification; Radiography; Scoliosis

Indexed keywords

ALGORITHM; ARTICLE; AUTOMATION; DIAGNOSTIC ERROR; HUMAN; IDIOPATHIC SCOLIOSIS; OBSERVER VARIATION; PRIORITY JOURNAL; RELIABILITY; SPINE RADIOGRAPHY;

ALGORITHMS; HUMANS; LUMBAR VERTEBRAE; REPRODUCIBILITY OF RESULTS; SCOLIOSIS; THORACIC VERTEBRAE;

EID: 0037115245     PISSN: 03622436     EISSN: None     Source Type: Journal    
DOI: 10.1097/00007632-200212150-00014     Document Type: Article

References (5)

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2. Cummings RJ, Loveless EA, Campbell J, et al. Interobserver reliability and intraobserver reproducibility of the system of King et al. For the classification of adolescent idiopathic scoliosis. J Bone Joint Surg Am 1998;80:1107-11.
3. King HA, Moe JH, Bradford DS, et al. The selection of fusion levels in thoracic idiopathic scoliosis. J Bone Joint Surg Am 1983;65:1302-13.
4. Lenke LG, Betz RR, Bridwell KH, et al. Intraobserver and interobserver reliability of the classification of thoracic adolescent idiopathic scoliosis. J Bone Joint Surg Am 1998;80:1097-106.
5. Lenke LG, Betz RR, Harms J, et al. Adolescent idiopathic scoliosis: A new classification to determine extent of spinal arthrodesis. J Bone Joint Surg Am 2001;83:1169-81.