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强直性脊柱炎继发胸腰椎后凸患者的骨盆倾斜能否由骶股耻骨角预测?

Can pelvic tilt be predicated by the sacrofemoral-pubic angel in patients with thoracolumbar kyphosis secondary to ankylosing spondylitis?

作者信息

Hu Jun, Ji Ming-liang, Qian Bang-ping, Qiu Yong, Wang Bin, Yu Yang, Zhu Ze-Zhang, Jiang Jun

机构信息

From the Department of Spine Surgery, Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China.

出版信息

Spine (Phila Pa 1976). 2014 Nov 1;39(23):E1347-52. doi: 10.1097/BRS.0000000000000592.

Abstract

STUDY DESIGN

A retrospective radiographical study.

OBJECTIVE

To construct a predictive model for pelvic tilt (PT) based on the sacrofemoral-pubic (SFP) angle in patients with thoracolumbar kyphosis secondary to ankylosing spondylitis (or AS).

SUMMARY OF BACKGROUND DATA

PT is a key pelvic parameter in the regulation of spine sagittal alignment that can be used to plan the appropriate osteotomy angle in patients with AS with thoracolumbar kyphosis. However, it could be difficult to measure PT in patients with femoral heads poorly visualized on lateral radiographs. Previous studies showed that the SFP angle could be used to evaluate PT in adult patients with scoliosis. However, this method has not been validated in patients with AS.

METHODS

A total of 115 patients with AS with thoracolumbar kyphosis were included. Full-length anteroposterior and lateral spine radiographs were all available, with spinal and pelvic anatomical landmarks clearly identified. PT, SFP angle, and global kyphosis were measured. The patients were randomly divided into group A (n=65) and group B (n=50). In group A, the predictive model for PT was constructed by the results of the linear regression analysis. In group B, the predictive ability and accuracy of the predictive model were investigated.

RESULTS

In group A, the Pearson correlation analysis revealed a strong correlation between the SFP angle and PT (r=0.852; P<0.001). The predictive model for PT was constructed as PT=72.3-0.82×(SFP angle). In group B, PT was predicted by the model with a mean error of 4.6° (SD=4.5°) with a predictive value of 78%.

CONCLUSION

PT can be accurately predicted by the SFP angle using the current model: PT=72.3-0.82×(SFP angle), when the femur heads are poorly visualized on lateral radiographs in patients with AS with thoracolumbar kyphosis.

LEVEL OF EVIDENCE

摘要

研究设计

一项回顾性影像学研究。

目的

基于强直性脊柱炎(AS)继发胸腰椎后凸患者的骶股耻骨(SFP)角构建骨盆倾斜(PT)预测模型。

背景数据总结

PT是调节脊柱矢状位排列的关键骨盆参数,可用于规划AS合并胸腰椎后凸患者的合适截骨角度。然而,对于侧位X线片上股骨头显示不佳的患者,测量PT可能困难。既往研究表明,SFP角可用于评估成年脊柱侧凸患者的PT。然而,该方法尚未在AS患者中得到验证。

方法

共纳入115例AS合并胸腰椎后凸患者。所有患者均有全脊柱正侧位X线片,脊柱和骨盆解剖标志清晰可辨。测量PT、SFP角和整体后凸。患者随机分为A组(n = 65)和B组(n = 50)。A组通过线性回归分析结果构建PT预测模型。B组研究该预测模型的预测能力和准确性。

结果

A组Pearson相关分析显示SFP角与PT之间存在强相关性(r = 0.852;P < 0.001)。PT预测模型构建为PT = 72.3 - 0.82×(SFP角)。B组中,该模型预测PT的平均误差为4.6°(标准差 = 4.5°),预测值为78%。

结论

对于AS合并胸腰椎后凸且侧位X线片上股骨头显示不佳的患者,使用当前模型PT = 72.3 - 0.82×(SFP角)可准确预测PT。

证据级别

4级。

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