Decision Making Algorithm for Adult Spinal Deformity Surgery.
10.3340/jkns.2016.59.4.327
- Author:
Yongjung J KIM
1
;
Seung Jae HYUN
;
Gene CHEH
;
Samuel K CHO
;
Seung Chul RHIM
Author Information
1. Department of Orthopaedic Surgery, Spine Service, Columbia University College of Physicians and Surgeons, New York, NY, USA.
- Publication Type:Review
- Keywords:
Adult spinal deformity;
Idiopathic scoliosis;
Classification;
Spinal fusion;
Selective fusion;
Algorithm
- MeSH:
Adult*;
Classification;
Congenital Abnormalities*;
Decision Making*;
Humans;
Scoliosis;
Spinal Fusion;
Surgeons
- From:Journal of Korean Neurosurgical Society
2016;59(4):327-333
- CountryRepublic of Korea
- Language:English
-
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.
