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致编辑的信,关于M.S. 埃克西等人所著的《竖脊肌可能改变腰椎滑脱症患者手术决策:对年龄、性别、亚型、节段匹配且脊柱骨盆参数相似的接受手术或保守治疗患者的横断面分析》(《欧洲脊柱杂志》[2024]:doi: 10.1007/s00586-024-08341-3)

Letter to the editor concerning "Erector Spinae could be the game changer in surgical decision-making in patients with lumbar spondylolisthesis: a cross-sectional analysis of an age-, sex-, subtype-, level-matched patients with similar spinopelvic parameters received surgical or conservative management" by M.S. Eksi, et al. (Eur Spine J [2024]: doi: 10.1007/s00586-024-08341-3).

作者信息

Fang Weijing, Wang Zhan

机构信息

Department of Burns & Wound Care Centre, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.

The Key Laboratory of Trauma and Burns of Zhejiang University, Hangzhou, China.

出版信息

Eur Spine J. 2025 Feb;34(2):791-792. doi: 10.1007/s00586-024-08604-z. Epub 2024 Dec 6.

DOI:10.1007/s00586-024-08604-z
PMID:39641802
Abstract

The letter responds to a study on the role of erector spinae muscle quality in surgical decision-making for lumbar spondylolisthesis. It highlights the potential of paraspinal muscle fatty infiltration as a predictive factor, suggesting that early rehabilitation targeting these muscles may reduce the need for surgery. The authors propose improvements for future research, such as using advanced MRI techniques for better fat infiltration assessment, controlling patient activity levels, and incorporating multidimensional imaging analyses with machine learning. These advancements could support more personalized treatment strategies for lumbar spondylolisthesis.

摘要

这封信回应了一项关于竖脊肌质量在腰椎滑脱手术决策中作用的研究。它强调了椎旁肌脂肪浸润作为预测因素的潜力,表明针对这些肌肉的早期康复可能会减少手术需求。作者提出了未来研究的改进方向,例如使用先进的MRI技术以更好地评估脂肪浸润、控制患者活动水平以及将多维成像分析与机器学习相结合。这些进展可为腰椎滑脱制定更个性化的治疗策略提供支持。

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本文引用的文献

1
Erector spinae could be the game changer in surgical decision-making in patients with lumbar spondylolisthesis: a cross-sectional analysis of an age-, sex-, subtype-, level-matched patients with similar spinopelvic parameters received surgical or conservative management.竖脊肌可能会改变腰椎滑脱症患者手术决策的游戏规则:对接受手术或保守治疗的、年龄、性别、亚型、节段匹配且具有相似脊柱骨盆参数的患者进行的一项横断面分析。
Eur Spine J. 2024 Oct;33(10):3715-3723. doi: 10.1007/s00586-024-08341-3. Epub 2024 May 29.
2
Investigating the associations between lumbar paraspinal muscle health and age, BMI, sex, physical activity, and back pain using an automated computer-vision model: a UK Biobank study.利用自动化计算机视觉模型研究腰椎旁脊柱肌肉健康与年龄、BMI、性别、身体活动和背痛之间的关联:英国生物银行研究。
Spine J. 2024 Jul;24(7):1253-1266. doi: 10.1016/j.spinee.2024.02.013. Epub 2024 Feb 28.
3
Use of machine learning to select texture features in investigating the effects of axial loading on T-maps from magnetic resonance imaging of the lumbar discs.使用机器学习选择纹理特征,研究轴向加载对腰椎磁共振 T 映射的影响。
Eur Spine J. 2022 Aug;31(8):1979-1991. doi: 10.1007/s00586-021-07036-3. Epub 2021 Oct 30.
4
Comprehensive non-surgical treatment decreased the need for spine surgery in patients with spondylolisthesis: Three-year results.综合非手术治疗减少了腰椎滑脱症患者的脊柱手术需求:三年结果
J Back Musculoskelet Rehabil. 2019;32(5):701-706. doi: 10.3233/BMR-181185.