Author:
Yin Wen,Zheng Guohui,Zhang Wei,Zhai Yunlei,Li Haijiang,Sun Lele,Wang Kangkang,Jiang Jishi,Hua Zikai,Cui Xilong,Yu Haiyang
Abstract
Abstract
Background
The purpose of this study was to create a mathematical model to precalculate the acreage change in the abdominal median sagittal plane (ac-AMSP) of patients with ankylosing spondylitis (AS) for whom two-level pedicle subtraction osteotomy (PSO) was planned.
Methods
A single-centre retrospective review of prospectively collected data was conducted among 11 adults with AS. Acreage of the abdominal median sagittal plane (a-AMSP) was performed. The distances and angles between the osteotomy apexes, anterosuperior edge of T12, xiphoid process, superior edge of the pubis, and anterosuperior corner of the sacrum were measured on preoperative thoracolumbar computed tomography. A mathematical model was created using basic trigonometric functions in accordance with the abdominal parameters. Planned osteotomized vertebra angles (POVAs) were substituted into the mathematical model, and the predictive ac-AMSP (P-AC) was obtained. A paired sample t test was performed to determine the differences between the P-AC and actual ac-AMSP (A-AC) and between the predictive acreage change rate (P-CR) and actual acreage change rate (A-CR).
Results
The mean age and GK were 44.4 ± 8.99 years and 102.9° ± 19.17°, respectively. No significant difference exists between A-CR and P-CR via mathematical modeling (p > 0.05). No statistically significant difference existed between POVA and actual osteotomized vertebra angles (AOVA) (p > 0.05). A statistically significant difference was observed between preoperative and postoperative measurements of LL, SVA, and GK variables (p < 0.001).
Conclusions
The novel mathematical model was reliable in predicting the ac-AMSP in AS patients undergoing two-level PSO.
Funder
the Major Scientific Research Project of Anhui Provincial Education Department
the National Orthopaedic and Exercise Rehabilitation Clinical Medical Research Center
Publisher
Springer Science and Business Media LLC