Suppr超能文献

在无症状成年人中,通过个体骨盆入射角和胸腰椎后凸角来预测理想腰椎前凸的公式。

Predictive formulae of ideal lumbar lordosis determined by individual pelvic incidence and thoracic kyphosis in asymptomatic adults.

机构信息

Department of Spine Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China.

Department of Spine Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250013, China.

出版信息

J Orthop Sci. 2022 Jan;27(1):101-107. doi: 10.1016/j.jos.2020.11.022. Epub 2021 Jan 5.

Abstract

BACKGROUND

The precise prediction of ideal lumbar lordosis (LL) has become increasingly important in clinical practice. The aim of this study was to explore the regulatory mechanisms of sagittal spinopelvic alignment and to predict ideal LL based on individual pelvic incidence (PI) and thoracic kyphosis (TK) parameters in asymptomatic adults.

METHODS

A total of 233 asymptomatic subjects older than 18 years were consecutively enrolled in our study between April 2017 and December 2019. A full-spine, standing X-ray was performed for each subject. The following parameters were measured in the sagittal plane: the apex of lumbar lordosis (LLA), the distance between the plumb line of the lumbar apex (LAPL) and the gravity plumb line, the inflection point (IP), LL, the upper arc and lower arc of lumbar lordosis (LLUA and LLLA, respectively), PI and TK. Stepwise multiple linear regressions were conducted, and the statistical significance level was P < 0.05.

RESULTS

Both PI and TK were two important predictive variables for LLA, LAPL, IP and LL. In addition, the LLUA was mainly explained by TK, while the LLLA was explained by PI. The corresponding predictive models are listed as follows: LLA = 17.110 - 0.040∗PI + 0.023∗TK (R = 0.380), LAPL = 31.296 + 0.467∗PI - 0.126∗TK (R = 0.309), IP = 10.437 + 0.091∗TK - 0.029∗PI (R = 0.227), LL = 2.035 + 0.618∗PI + 0.430∗TK (R = 0.595), LLUA = 0.893 + 0.418∗TK (R = 0.598), LLLA = 3.543 + 0.576∗PI (R = 0.433).

CONCLUSION

The specific sagittal lumbar profile should be regulated by both pelvic and thoracic morphology. Such predictive models for lumbar parameters determined by individual PI and TK parameters have been established, which are meaningful for surgeons to better understand the regulatory mechanisms of sagittal spinopelvic alignment and reconstruct a satisfactory lumbar alignment.

摘要

背景

精确预测理想腰椎前凸(LL)在临床实践中变得越来越重要。本研究旨在探讨矢状脊柱骨盆对线的调节机制,并基于无症状成年人的个体骨盆入射角(PI)和胸椎后凸(TK)参数预测理想 LL。

方法

连续纳入 2017 年 4 月至 2019 年 12 月期间的 233 名年龄大于 18 岁的无症状受试者。每位受试者均行全脊柱站立位 X 线检查。在矢状面测量以下参数:腰椎前凸顶点(LLA)、腰椎前凸顶点铅垂线(LAPL)与重力铅垂线之间的距离、拐点(IP)、LL、腰椎前凸上弧和下弧(LLUA 和 LLLA)、PI 和 TK。进行逐步多元线性回归,统计显著性水平为 P < 0.05。

结果

PI 和 TK 均为 LLA、LAPL、IP 和 LL 的两个重要预测变量。此外,LLUA 主要由 TK 解释,而 LLLA 由 PI 解释。相应的预测模型如下:LLA = 17.110 - 0.040PI + 0.023TK(R = 0.380)、LAPL = 31.296 + 0.467PI - 0.126TK(R = 0.309)、IP = 10.437 + 0.091TK - 0.029PI(R = 0.227)、LL = 2.035 + 0.618PI + 0.430TK(R = 0.595)、LLUA = 0.893 + 0.418TK(R = 0.598)、LLLA = 3.543 + 0.576PI(R = 0.433)。

结论

骨盆和胸段形态均应调节特定的腰椎矢状位形态。已建立了基于个体 PI 和 TK 参数确定的腰椎参数的这些预测模型,这对于外科医生更好地理解矢状脊柱骨盆对线的调节机制并重建满意的腰椎对线具有重要意义。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验