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Defining an Algorithm of Treatment for Severe Cervical Deformity Using Surgeon Survey and Treatment Patterns.

Authors :
Virk S
Elysee J
Gupta M
Klineberg E
Schwab F
Kim HJ
Burton D
Passias P
Protopsaltis T
Smith J
Ames C
Lafage R
Lafage V
Source :
World neurosurgery [World Neurosurg] 2020 Jul; Vol. 139, pp. e541-e547. Date of Electronic Publication: 2020 Apr 25.
Publication Year :
2020

Abstract

Objective: Our aim was to define a treatment strategy for patients with severe cervical deformity (sCD).<br />Methods: Surgical patients with sCD were isolated based on preoperative radiographic parameters. We sent 10 sCD cases to 7 surgeons to find consensus on approach, upper instrumented vertebrae (UIVs), lower instrumented vertebrae (LIVs), and osteotomy. We performed a descriptive analysis and created a treatment algorithm from the survey and then analyzed a database of surgical patients to find the frequency of following our algorithm.<br />Results: We found consensus on 7 cases for a posterior approach because of cervicothoracic deformity. Of 15 patients within our sCD database that had cervicothoracic deformity, 13 had a posterior approach. There was consensus on 2 cases for an anteroposterior approach because of local kyphosis. Of 25 patients that had local kyphosis, 18 had an anterior approach. In 4 cases, there was consensus of UIV of C2. Of 35 cases that had posterior fusion more than 6 levels, 20 had UIV of C2. In 3 cases, there was consensus of LIV below a previously fused spine. Of 36 patients that had a fusion of T6 or higher, 34 had LIV below the previous UIV. In 6 cases, there was consensus against an osteotomy because of cervical spine flexibility. Nine of 12 patients that had an osteotomy in our database had no flexibility on dynamic radiographs.<br />Conclusions: We outline an algorithm for deciding approach, UIV, LIV, and whether to do an osteotomy for patients with sCD based on consensus recommendations among spine surgeons.<br /> (Copyright © 2020 Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1878-8769
Volume :
139
Database :
MEDLINE
Journal :
World neurosurgery
Publication Type :
Academic Journal
Accession number :
32339741
Full Text :
https://doi.org/10.1016/j.wneu.2020.04.057