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一种在普通X线片上评估腰椎椎体旋转的新方法。

A new method to assess lumbar vertebral body rotation on simple radiographs.

作者信息

Lee Suk-Joong, Joung Sanghyun, Kim Sungmin, Lee Hyun-Joo, Deslivia Maria Florencia

机构信息

Department of Orthopaedic Surgery, Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital, Gyeongnam, Republic of Korea.

202 Robot Innovation Center, AIRS Inc., Daegu, Republic of Korea.

出版信息

J Craniovertebr Junction Spine. 2024 Oct-Dec;15(4):455-459. doi: 10.4103/jcvjs.jcvjs_171_24. Epub 2025 Jan 15.

DOI:10.4103/jcvjs.jcvjs_171_24
PMID:40061201
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11888028/
Abstract

INTRODUCTION AND OBJECTIVES

A number of sophisticated methods have been used to identify the degree of vertebral rotation. This is an experimental model using saw bone and motorized device to identify the possible parameter of vertebral body axial rotation on simple radiographs.

MATERIALS AND METHODS

A sawbones model of the lumbar spine was used in this study. The sawbones was attached to a zigzag motorized rotation device. The device rotated the model vertebra by 1°. Fluoroscopic images were obtained for each pose. We developed a customized program to calculate the indices automatically. Three formulas were used to determine the ratio that corresponds to the rotation angle: (1) ratio of the total width of the vertebral body to the length between the lateral margin and center of two pedicles, (2) ratio of the total width of the vertebral body to the length between two pedicles, and (3) ratio of the length between two pedicles to the total width of the vertebral body.

RESULTS

The correlation coefficient between the rotation angle and formula 1 was -0.9995. The correlation coefficient for the other two parameters was extremely low (0.036 for formula 2 and 0.16 for formula 3).

CONCLUSIONS

The rotation angle can be easily and accurately determined by calculating the abovementioned parameters on simple radiographs.

摘要

引言与目的

已经使用了多种复杂方法来确定椎体旋转程度。这是一个使用锯骨和电动设备的实验模型，用于在简单X线片上确定椎体轴向旋转的可能参数。

材料与方法

本研究使用腰椎的锯骨模型。将锯骨连接到一个锯齿形电动旋转设备上。该设备将模型椎体旋转1°。对每个姿势获取荧光透视图像。我们开发了一个定制程序来自动计算指标。使用三个公式来确定与旋转角度对应的比率：（1）椎体总宽度与两侧椎弓根边缘与中心之间长度的比率，（2）椎体总宽度与两个椎弓根之间长度的比率，以及（3）两个椎弓根之间长度与椎体总宽度的比率。

结果

旋转角度与公式1之间的相关系数为-0.9995。其他两个参数的相关系数极低（公式2为0.036，公式3为0.16）。

结论

通过在简单X线片上计算上述参数，可以轻松准确地确定旋转角度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f333/11888028/25a771388e5b/JCVJS-15-455-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f333/11888028/183989b5323d/JCVJS-15-455-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f333/11888028/66c555873ff4/JCVJS-15-455-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f333/11888028/721108d81c82/JCVJS-15-455-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f333/11888028/9b5a47d35338/JCVJS-15-455-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f333/11888028/d6824797e3ef/JCVJS-15-455-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f333/11888028/39edde5b76c9/JCVJS-15-455-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f333/11888028/d53289858806/JCVJS-15-455-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f333/11888028/25a771388e5b/JCVJS-15-455-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f333/11888028/183989b5323d/JCVJS-15-455-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f333/11888028/66c555873ff4/JCVJS-15-455-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f333/11888028/721108d81c82/JCVJS-15-455-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f333/11888028/9b5a47d35338/JCVJS-15-455-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f333/11888028/d6824797e3ef/JCVJS-15-455-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f333/11888028/39edde5b76c9/JCVJS-15-455-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f333/11888028/d53289858806/JCVJS-15-455-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f333/11888028/25a771388e5b/JCVJS-15-455-g011.jpg

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