使用术中机器人计划和引导系统预测脊柱融合术后节段性腰椎前凸的准确性。

IF 1.3 4区 医学 Q4 CLINICAL NEUROLOGY Journal of neurosurgical sciences Pub Date : 2023-11-23 DOI:10.23736/S0390-5616.23.06142-8
Ghani Haider, Vaibhavi Shah, Thomas Johnstone, Nicolai Maldaner, Martin Stienen, Anand Veeravagu
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引用次数: 0

摘要

背景:恢复腰椎前凸是腰椎融合手术的主要目标之一。Mazor X-AlignTM软件可以根据术前成像预测术后节段性腰椎前凸。术前预测的准确性数据有限,特别是在短节段腰椎融合术患者中。我们研究的目的是确定在需要短节段融合的患者中使用Mazor X-AlignTM软件预测术后节段性腰椎前凸的准确性。方法:回顾性分析2017年7月至2020年6月期间使用Mazor XTM机器人(Medtronic Inc., Minneapolis, MN, USA)进行不超过4节段椎弓根螺钉内固定的成年患者。使用机器人引导软件Mazor X-AlignTM (Medtronic Inc., Minneapolis, MN, USA)根据术前ct成像计算预测的节段性腰椎前凸,并在术中机器人引导下执行计划。使用Cobb角方法学在术后1个月的x光片上比较预测的节段性腰椎前凸与实现的节段性腰椎前凸。结果:共纳入15例患者,其中女性46.6%,平均年龄61.5±10.9岁。所有患者均采用Mazor XTM机器人系统进行后路腰骶脊柱融合术,其中11例患者(73.3%)在后路固定前进行了前柱重建。每个病例平均进行2.6个级别的检测。术前,腰椎前凸平均为30.2±13.6度。平均计划节段性腰椎前凸度为35.5±17.0度,平均实现节段性腰椎前凸度为35.8±16.7度。计划腰椎前凸与已实现腰椎前凸的平均差异无统计学意义(P=0.334)。结论:Mazor XTM术中机器人规划和指导能够准确预测短节段融合术后腰椎前凸。我们的发现可以为手术决策和计划提供依据。
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Accuracy of predicted postoperative segmental lumbar lordosis in spinal fusion using an intraoperative robotic planning and guidance system.

Background: Restoring lumbar lordosis is one of the main goals in lumbar spinal fusion surgery. The Mazor X-AlignTM software allows for the prediction of postoperative segmental lumbar lordosis based on preoperative imaging. There is limited data on the accuracy of this preoperative prediction, especially in patients undergoing short segment lumbar fusion. The objective of our study was to determine the accuracy of predicted postoperative segmental lumbar lordosis using the Mazor X-AlignTM software in patients requiring short segmental fusion.

Methods: Retrospective analysis of adult patients undergoing pedicle screw spinal instrumentation of not more than four levels using the Mazor XTM Robot (Medtronic Inc., Minneapolis, MN, USA) between July 2017 to June 2020. The robotic guidance software, Mazor X-AlignTM (Medtronic Inc., Minneapolis, MN, USA) was used to calculate the predicted segmental lumbar lordosis based on preoperative CT-imaging and the plan was executed under intraoperative robotic guidance. Predicted segmental lumbar lordosis was compared to achieved segmental lumbar lordosis on 1-month postoperative x-rays using the Cobb angle methodology.

Results: A total of 15 patients (46.6% female) with a mean age of 61.5±10.9 years were included. All patients underwent posterior lumbo-sacral spinal fusion with the Mazor XTM robotic system with 11 patients (73.3%) undergoing anterior column reconstruction prior to posterior fixation. Instrumentation was performed across a mean of 2.6 levels per case. Preoperative, the mean segmental lumbar lordosis was 30.2±13.6 degrees. The mean planned segmental lumbar lordosis was 35.5±17.0 degrees while the mean achieved segmental lumbar lordosis was 35.8±16.7 degrees. There was no significant mean difference between the planned and achieved segmental lumbar lordosis (P=0.334).

Conclusions: The Mazor XTM intraoperative robotic planning and guidance is accurate in predicting postoperative segmental lumbar lordosis after short segmental fusion. Our findings may assure surgical decision making and planning.

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来源期刊
Journal of neurosurgical sciences
Journal of neurosurgical sciences CLINICAL NEUROLOGY-SURGERY
CiteScore
3.00
自引率
5.30%
发文量
202
审稿时长
>12 weeks
期刊介绍: The Journal of Neurosurgical Sciences publishes scientific papers on neurosurgery and related subjects (electroencephalography, neurophysiology, neurochemistry, neuropathology, stereotaxy, neuroanatomy, neuroradiology, etc.). Manuscripts may be submitted in the form of ditorials, original articles, review articles, special articles, letters to the Editor and guidelines. The journal aims to provide its readers with papers of the highest quality and impact through a process of careful peer review and editorial work.
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