We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
Correlation Between Different Sagittal Parameters in Patients With Degenerative Kyphosis.
- Authors
Liang, Yan; Xu, Shuai; Guo, Chen; Mao, Keya; Liu, Haiying
- Abstract
Objective: To explore the relationship between different sagittal parameters and identify the fitting formula of spino-pelvic parameters in patients with degenerative kyphosis (DK). Summary of Background: Sagittal balance is increasingly recognized as a predictor of clinical outcomes in patients with DK, while the relationship between different sagittal parameters in patients with DK remains unidentified. Methods: A retrospective study with 279 participants was conducted. There were 168 DK patients which were divided into a sagittal balance group (SB:52 cases) and sagittal imbalance (SIB:116 cases). Radiographic measurements included thoracolumbar kyphosis (TLK), lumbar lordosis (LL), thoracic kyphosis (TK), pelvic incidence (PI), and pelvic tilt (PT). The correlations were analyzed between different sagittal parameters. Results: There were significant differences between the SB and SIB groups in terms of TLK, LL, PI-LL, PT, SVA, sacral slope (SS), and TK. For patients with DK, the LL was correlated with PT and TK. The linear regression was LL = 22.76−0.28 × PT + 0.62 × TK. In the SB group, TK was the influencing factor for LL and the linear regression analysis showed that LL = 33.57 + 0.33 × TK. While in the SIB group, PT and TK were in synergistic effect with PI-LL, the linear regression analysis showed that LL = 22.76−0.28 × PT + 0.62 × TK. Conclusion: From the present study, we can see that LL has a significant correlation with PT and TK in patients with DK, while in SB, the LL was only correlated with TK. Therefore, the correction of LL in a different group should be calculated to avoid the incidence of proximal junction kyphosis (PJK).
- Subjects
KYPHOSIS; REGRESSION analysis; LINEAR statistical models; LORDOSIS; TREATMENT effectiveness
- Publication
Frontiers in Molecular Neuroscience, 2022, Vol 15, p1
- ISSN
1662-5099
- Publication type
Article
- DOI
10.3389/fnmol.2022.847857