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Eur Spine J ; 28(6): 1265-1276, 2019 06.
Article in English | MEDLINE | ID: mdl-31053938

ABSTRACT

PURPOSE: For spine curvatures with Cobb angles > 100°, curve classification and characterization become more difficult with conventional radiographs. 3-D computerized axial tomography scans add relevant information to categorize and describe a new classification to aid preoperative assessment in communication and patient evaluation. The purpose of this study is to describe a radiographic classification system of curves exceeding 100°. METHODS: A consecutive series of patients with curves exceeding 100° underwent a full spine radiographic review using conventional radiographs and 3-D CT. A descriptive analysis was performed to categorize curves into 4 main types (1, 2, 3 and 4) and 6 subtypes (1C, 1S, 1CS, 2P, 2D and 2PD) based on the location of the Cobb angle of the major scoliotic and kyphotic deformity as well as the location of the upper/lower end vertebra relative to the apical vertebra. RESULTS: A total of 98 patients met the inclusion criteria. There were 51 males and 47 females with an average age of 17.8 ± 4.5 years. The diagnosis included idiopathic (48); congenital (24); neuromuscular (4); and neurofibromatosis (2). The mean major coronal and sagittal Cobb (kyphosis) were 131.2° ± 23.4° and 154 ± 45.6, respectively. The classification scheme yielded 4 main types (1, 2, 3 and 4) and 6 subtypes under types 1 and 2 (1C, 1S, 1CS, 2P, 2D and 2PD). CONCLUSIONS: Our study describes a novel method of classifying severe spinal curvatures exceeding 100° using erect AP/lateral radiographs and 3-D CT reconstructive images. We hope that the descriptive analysis and classification will expand our understanding of these complex deformities. These slides can be retrieved under Electronic Supplementary Material.


Subject(s)
Spinal Curvatures/diagnostic imaging , Adolescent , Adult , Female , Humans , Imaging, Three-Dimensional/methods , Kyphosis/classification , Kyphosis/diagnostic imaging , Kyphosis/pathology , Kyphosis/surgery , Male , Prospective Studies , Radiographic Image Interpretation, Computer-Assisted/methods , Radiography , Scoliosis/classification , Scoliosis/diagnostic imaging , Scoliosis/pathology , Scoliosis/surgery , Spinal Curvatures/classification , Spinal Curvatures/pathology , Spinal Curvatures/surgery , Tomography, X-Ray Computed/methods , Young Adult
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