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Decision Making Algorithm for Adult Spinal Deformity Surgery

Adult spinal deformity (ASD) is one of the most challenging spinal disorders associated with broad range of clinical and radiological presentation. Correct selection of fusion levels in surgical planning for the management of adult spinal deformity is a complex task. Several classification systems a...

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Detalles Bibliográficos
Autores principales: Kim, Yongjung J., Hyun, Seung-Jae, Cheh, Gene, Cho, Samuel K., Rhim, Seung-Chul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Neurosurgical Society 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4954878/
https://www.ncbi.nlm.nih.gov/pubmed/27446511
http://dx.doi.org/10.3340/jkns.2016.59.4.327
Descripción
Sumario:Adult spinal deformity (ASD) is one of the most challenging spinal disorders associated with broad range of clinical and radiological presentation. Correct selection of fusion levels in surgical planning for the management of adult spinal deformity is a complex task. Several classification systems and algorithms exist to assist surgeons in determining the appropriate levels to be instrumented. In this study, we describe our new simple decision making algorithm and selection of fusion level for ASD surgery in terms of adult idiopathic idiopathic scoliosis vs. degenerative scoliosis.