腰椎变形在俯卧位和仰卧位ct之间。

IF 2.5 3区 医学 Q2 CLINICAL NEUROLOGY
Ikaasa Suri, Daniel Kwon, Sayahi Suthakaran, Julian Javier, Maria Syed, James Hu, Matthew Carr, Jeremy Steinberger
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引用次数: 0

摘要

脊柱导航系统提高了椎弓根螺钉放置的准确性,但由于术前和术中脊柱对齐位置的差异,脊柱导航系统依赖于仰卧位术前成像,可能会导致错误。这些错位可能影响手术结果,特别是腰椎手术。本研究探讨了俯卧位和仰卧位之间腰椎和腰骨盆关键参数的差异,旨在改进成像工作流程和手术导航实践。一项回顾性队列研究分析了ACRIN数据库中85名成人患者的成对俯卧位CT图像。测量关键参数-骨盆倾斜、腰椎前凸、L1斜率、骨盆发生率和L1- l5 Cobb角。采用双尾t检验评估统计学显著性,两两比较评估位置差异。骨盆倾斜(平均俯卧位差为4.27°,p = 0.0002)和L1斜率(平均俯卧位差为3.16°,p = 0.001)差异有统计学意义。其他参数包括腰椎前凸、骨盆发生率和L1-L5 Cobb角,差异无统计学意义。我们的研究首次提供了腰椎俯卧位与仰卧位对齐的综合分析,解决了脊柱导航研究中的一个关键空白。研究结果强调了仰卧位术前影像学在反映术中情况方面的局限性。将这些见解纳入导航工作流程可以提高注册准确性和手术结果。未来的创新,如基于人工智能的预测建模,可能会进一步解决位置差异并优化腰椎手术。这项工作强调了推进成像协议以配合术中实际情况的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Lumbar spine deformation between prone and supine CTs.

Spinal navigation systems improve pedicle screw placement accuracy, but their reliance on supine preoperative imaging can introduce errors due to positional differences between preoperative and intraoperative spinal alignment. These misalignments may compromise surgical outcomes, particularly in lumbar spine procedures. This study investigates how key lumbar and lumbopelvic parameters differ between prone and supine positions, aiming to refine imaging workflows and surgical navigation practices. A retrospective cohort study analyzed paired prone and supine CT images from 85 adult patients in the ACRIN database. Key parameters-pelvic tilt, lumbar lordosis, L1 slope, pelvic incidence, and L1-L5 Cobb angle-were measured. Statistical significance was assessed using two-tailed t-tests, with pairwise comparisons conducted to evaluate positional differences. Significant differences were observed in pelvic tilt (mean prone-supine difference: 4.27°, p = 0.0002) and L1 slope (mean prone-supine difference: 3.16°, p = 0.001). Other parameters, including lumbar lordosis, pelvic incidence, and L1-L5 Cobb angle, showed no significant differences. Our study provides the first comprehensive analysis of prone versus supine alignment in the lumbar spine, addressing a critical gap in spinal navigation research. The findings underscore the limitations of supine preoperative imaging in reflecting intraoperative conditions. Incorporating these insights into navigation workflows can improve registration accuracy and surgical outcomes. Future innovations, such as AI-based predictive modeling, may further address positional discrepancies and optimize lumbar spine surgeries. This work highlights the importance of advancing imaging protocols to align with intraoperative realities.

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来源期刊
Neurosurgical Review
Neurosurgical Review 医学-临床神经学
CiteScore
5.60
自引率
7.10%
发文量
191
审稿时长
6-12 weeks
期刊介绍: The goal of Neurosurgical Review is to provide a forum for comprehensive reviews on current issues in neurosurgery. Each issue contains up to three reviews, reflecting all important aspects of one topic (a disease or a surgical approach). Comments by a panel of experts within the same issue complete the topic. By providing comprehensive coverage of one topic per issue, Neurosurgical Review combines the topicality of professional journals with the indepth treatment of a monograph. Original papers of high quality are also welcome.
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