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阿斯伯格综合征(ASD)患者亨氏单位与机械故障之间的关联。

The Association Between Hounsfield Units and Mechanical Failure in ASD Patients.

作者信息

Heegaard Martin, Ingadottir Kristin, Ragborg Lærke, Dahl Benny, Hansen Lars Valentin, Ohrt-Nissen Søren, Gehrchen Martin

机构信息

Spine Unit, Department of Orthopedic Surgery, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.

出版信息

Global Spine J. 2025 May;15(4):2218-2225. doi: 10.1177/21925682241291519. Epub 2024 Oct 13.

DOI:10.1177/21925682241291519
PMID:39397242
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11559791/
Abstract

Study designRetrospective Cohort Study.ObjectivesLow bone mineral density (BMD) is a known risk factor for revision surgery in patients with adult spinal deformity (ASD). Hounsfield units (HUs) on CT scans have been suggested as a proxy for assessing BMD. This study aimed to determine HUs in the lumbar region and their association with mechanical failure in patients undergoing ASD surgery.MethodsWe included ASD patients undergoing surgery from 2010-2020 with minimum 2-year follow-up. We excluded patients without preoperative CT scans, or a CT scan more than 1 year before surgery. Mechanical failure was defined as proximal junctional failure, pseudarthrosis, or implant failure requiring revision surgery. On preoperative CT scans, HUs were measured on 3 axial slices on each vertebra from L1-L5 and, if available, at UIV and UIV + 1.ResultsWe included 170 patients, mean age 63 (±12) years, with 108 (64%) females, and 13 [IQR 10-16] instrumented levels. Mechanical failure occurred in 27% (n = 46) of patients at 2-year follow-up. Mean lumbar HUs were 146 (±51) in the mechanical failure group and 135 (±52) in those without revision ( = .232). Area under the curve was 0.58 (95% CI: 0.48-0.68), corresponding to no to low discriminatory power in predicting mechanical failure using lumbar HUs. Univariate logistic regression revealed no significant difference between mechanical failure and lumbar HUs (OR = 1.00, 95% CI: 1.00-1.01, = .239).ConclusionsWe found no association between mechanical failure and HUs on preoperative CT scans in ASD patients. Thus, we cannot recommend using HUs to predict mechanical failure in these patients.

摘要

研究设计

回顾性队列研究。

目的

低骨密度(BMD)是成人脊柱畸形(ASD)患者翻修手术的已知风险因素。CT扫描中的亨氏单位(HUs)已被建议作为评估骨密度的替代指标。本研究旨在确定ASD手术患者腰椎区域的亨氏单位及其与机械性失败的关联。

方法

我们纳入了2010年至2020年接受手术且至少随访2年的ASD患者。我们排除了没有术前CT扫描或手术前1年以上CT扫描的患者。机械性失败定义为近端交界性失败、假关节形成或需要翻修手术的植入物失败。在术前CT扫描上,从L1-L5在每个椎体的3个轴位切片上测量亨氏单位,如有可能,在UIV和UIV + 1处测量。

结果

我们纳入了170例患者,平均年龄63(±12)岁,其中108例(64%)为女性,平均固定节段数为13[四分位间距10-16]。在2年随访时,27%(n = 46)的患者发生了机械性失败。机械性失败组的平均腰椎亨氏单位为146(±51),未进行翻修的患者为135(±52)(P = 0.232)。曲线下面积为0.58(95%CI:0.48-0.68),这表明使用腰椎亨氏单位预测机械性失败的鉴别能力为无至低。单因素逻辑回归显示机械性失败与腰椎亨氏单位之间无显著差异(OR = 1.00,95%CI:1.00-1.01,P = 0.239)。

结论

我们发现ASD患者术前CT扫描上的机械性失败与亨氏单位之间无关联。因此,我们不建议使用亨氏单位来预测这些患者的机械性失败。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a48/12035085/bf5562dcb3f5/10.1177_21925682241291519-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a48/12035085/d4fef674336a/10.1177_21925682241291519-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a48/12035085/bf5562dcb3f5/10.1177_21925682241291519-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a48/12035085/d4fef674336a/10.1177_21925682241291519-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a48/12035085/bf5562dcb3f5/10.1177_21925682241291519-fig2.jpg

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本文引用的文献

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Eur Spine J. 2024 Jan;33(1):11-18. doi: 10.1007/s00586-023-07995-9. Epub 2023 Oct 26.
2
Which Bone Mineral Density Measure Offers a More Reliable Prediction of Mechanical Complications in Adult Spinal Deformity Surgery: Hounsfield Units or DEXA Scan?哪种骨密度测量方法能更可靠地预测成人脊柱畸形手术中的机械并发症:体素值(Hounsfield units)还是 DEXA 扫描?
World Neurosurg. 2023 Oct;178:e657-e665. doi: 10.1016/j.wneu.2023.07.140. Epub 2023 Aug 4.
3
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J Spine Surg. 2023 Jun 30;9(2):149-158. doi: 10.21037/jss-22-102. Epub 2023 Jun 14.
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Demineralized cortical fibers are associated with a low pseudarthrosis rate in patients undergoing surgery for adult spinal deformity without three-column osteotomy.脱矿质皮质纤维与未行三柱截骨术的成人脊柱畸形手术患者的假关节形成率较低相关。
Brain Spine. 2023 May 10;3:101751. doi: 10.1016/j.bas.2023.101751. eCollection 2023.
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