| Literature DB >> 29245239 |
Zhen Zhang1, Zhen Liu, Zezhang Zhu, Yong Qiu.
Abstract
This is a retrospective study. The aim of this study was to access sagittal compensatory mechanism of the cervical spine in thoracic adolescent idiopathic scoliosis (T-AIS) before and after posterior spinal fusion and to identify preoperative or immediate postoperative radiographic parameters that can predict the ultimate cervical sagittal alignment (CSA) after long-term follow-up.A retrospective study was performed on 44 T-AIS patients treated with posterior spinal fusion and with at least 5 years of follow-up. Preoperative, immediate postoperative and latest follow-up radiographs were reviewed measuring cervical lordosis (CL), cervical sagittal vertical axis (CSVA), upper thoracic kyphosis (UTK), main thoracic kyphosis (MTK), global thoracic kyphosis (GTK), lumbar lordosis (LL), pelvic incidence (PI), pelvic tilt (PT), and sacral slope (SS). Pearson correlation analysis, stepwise multilinear regression analysis, and receiver operator characteristic (ROC) curve were performed to define the relationship between ultimate CL and preoperative or immediate postoperative radiographic parameters.CL significantly improved from 6.6 ± 8.8 degree kyphosis preoperatively to 3.8 ± 8.7 degree kyphosis immediate postoperatively and to 0.5 ± 7.3 degree lordosis at the latest follow-up. Pre- and postoperative CSVA showed no significant difference. Pearson correlation coefficient test showed that CL was only correlated to T1 slope and UTK before surgery, whereas it was correlated to T1 slope, UTK, and GTK after surgery. The following equation was developed to estimate the ultimate CL: ultimate CL = -2.792 + 0.510 × Preop CL + 0.531 × Postop T1 slope. Furthermore, ROC curve showed that preoperative CL ≥-4.5 degree was strongly predictive and postoperative T1 slope ≥11.3 degree was moderately predictive of lordotic cervical spine after long-term follow-up.For T-AIS patients, CL significantly increased after surgery with the restoration of the global and regional sagittal profile. The sagittal compensatory mechanism of the cervical spine before surgery is different from that after surgery. In these patients, preoperative CL and immediate postoperative T1 slope could be predictors of the ultimate CSA after long-term follow-up.Entities:
Mesh:
Year: 2017 PMID: 29245239 PMCID: PMC5728854 DOI: 10.1097/MD.0000000000008799
Source DB: PubMed Journal: Medicine (Baltimore) ISSN: 0025-7974 Impact factor: 1.817
Figure 1Measurement of coronal and sagittal spine parameters: CL = cervical lordosis, CSVA = cervical sagittal vertical axis, GTK = global thoracic kyphosis, LL = lumbar lordosis, MTA = main thoracic angle, MTK = main thoracic kyphosis, PI = pelvic incidence, PT = pelvic tilt, PTA = proximal thoracic angle, SS = sacral slope, UTK = upper thoracic kyphosis.
Patient demographics.
Mean preoperative, immediate postoperative, and latest follow-up values for all radiological variables.
Figure 2A 14-year-old female Lenke type 2 patient with spinal fusion showing the progressive improvement in CSA from −24 degree of kyphosis to −1 degree with T1 slope increasing from −2 to 3 degree.
Correlations between sagittal parameters and cervical lordosis in preoperative setting, immediate postoperative setting, and at latest follow-up.
Correlations between ultimate cervical lordosis and pre- and immediate.
Multiple linear regression model shows correlations between the ultimate CL and immediate postoperative sagittal parameters.
Figure 3ROC curve for estimated preoperative cervical lordosis. Each point is a cut point for preoperative cervical lordosis at which the sensitivity and specificity for predicting the kyphotic or straightened alignment of the cervical spine at latest follow-up. ROC = receiver operator characteristic.
Figure 4ROC curve for estimated postoperative T1 slope. Each point is a cut point for postoperative T1 slope at which the sensitivity and specificity for predicting the lordotic alignment of the cervical spine at latest follow-up. ROC = receiver operator characteristic.