title: Decision Making Algorithm for Adult Spinal Deformity Surgery.
abstract: 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.
authors.affiliation: Department of Orthopaedic Surgery, Spine Service, Columbia University College of Physicians and Surgeons, New York, NY, USA.
authors.forename: Yongjung J
authors.initials: YJ
authors.lastname: Kim
authors.affiliation: Department of Neurosurgery, Spine Center, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea.
authors.forename: Seung-Jae
authors.initials: SJ
authors.lastname: Hyun
authors.affiliation: Departments of Orthopedic Surgery, Wooridul Spine Hospital, Seoul, Korea.
authors.forename: Gene
authors.initials: G
authors.lastname: Cheh
authors.affiliation: Department of Orthopaedic Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
authors.forename: Samuel K
authors.initials: SK
authors.lastname: Cho
authors.affiliation: Department of Neurosurgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
authors.forename: Seung-Chul
authors.initials: SC
authors.lastname: Rhim
keywords: Adult spinal deformity; Algorithm; Classification; Idiopathic scoliosis; Selective fusion; Spinal fusion