首页|期刊导航|中国医学工程|基于磁共振扫描的腰椎滑脱症患者小关节积液及椎间盘关节特征与意义的研究

基于磁共振扫描的腰椎滑脱症患者小关节积液及椎间盘关节特征与意义的研究OA

Characteristics and significance of facet joint effusion and intervertebral disc joint in patients with lumbar spondylolisthesis based on magnetic resonance scanning

中文摘要英文摘要

目的 探讨退行性腰椎滑脱症(DLS)患者磁共振成像(MRI)扫描下的腰椎参数、小关节积液特征,基于此构建腰椎退行性疾病患者发生DLS的危险因素模型,并分析预测价值.方法 选取2021年4月至2024年12月开封市中医院确诊的70例DLS患者作为DLS组,另外选择无腰椎滑脱的腰椎退行性疾病患者70例作为对照组,两组患者均具有完整的MRI检查资料,统计分析两组患者的矢状位、轴位MRI参数,以及腰椎椎旁肌横截面积、小关节积液宽度情况,构建Logistic回归模型并绘制受试者操作特征(ROC)曲线进行预测性分析.结果 DLS组患者椎间盘退变>Ⅲ级患者占比68.57%,小关节退变>Ⅱ级患者占比65.71%,终板Modic分型为Ⅲ型的患者占比78.57%,多裂肌脂肪浸润达到Ⅲ度的患者占比54.29%,高于对照组患者的35.71%、32.86%、28.57%、32.86%(P<0.05);DLS组患者左右多裂肌横截面积小于对照组,腰骶角、小关节积液宽度大于对照组(P<0.05);两组患者的左右腰大肌横截面积、左右竖脊肌横截面积、黄韧带厚度测定值比较,差异无统计学意义(P>0.05).Logistic回归模型结果显示:椎间盘退变>Ⅲ级、小关节退变>Ⅱ级、终板Modic分型为Ⅲ型、左右多裂肌横截面积减小、腰骶角增大、小关节积液增多是腰椎退行性疾病患者发生DLS的危险因素(P<0.05).Logistic回归模型预测腰椎退行性疾病患者发生DLS的灵敏度为81.73%,特异度为78.66%,曲线下面积(AUC)为0.868,95%CI(0.814~0.923).结论 腰椎退行性疾病患者MRI扫描下的腰椎的矢状位与轴位参数均发生明显变化,且小关节积液显著增多、多裂肌退变明显,均与DLS的发生密切相关,基于上述参数构建的模型对DLS的预测具有较高的临床价值.

[Objective]To explore the lumbar parameters and the characteristics of facet joint effusion in patients with degenerative lumbar spondylolisthesis(DLS)under magnetic resonance imaging(MRI)scans,and based on this,construct a risk factor model for the occurrence of DLS in patients with lumbar degenerative diseases,and analyze the predictive value.[Methods]A total of 70 patients diagnosed with DLS in Kaifeng Traditional Chinese Medicine Hospital between April 2021 and December 2024 were selected as the DLS group,while another 70 patients with lumbar degenerative disease but without lumbar spondylolisthesis were enrolled as the control group.All participants in both groups had complete MRI examination parameters.Statistical analyses were performed on sagittal and axial MRI parameters,as well as on the cross-sectional area of the lumbar paraspinal muscles and the width of facet joint effusion.A logistic regression model was constructed,and a receiver operating characteristic(ROC)curve was plotted to conduct predictive analysis.[Results]In the DLS group,68.57%of patients had intervertebral disc degeneration>grade III,65.71%had facet joint degeneration>grade II,78.57%exhibited Modic type III endplate changes,and 54.29%showed multifidus muscle fat infiltration reaching grade III.These proportions were significantly higher than those in the control group(35.71%,32.86%,28.57%,and 32.86%,respectively),and all differences were statistically significant(P<0.05).The cross-sectional areas of the left and right multifidus muscles in the DLS group were significantly smaller than those in the control group,with all differences being statistically significant(P<0.05).Sagittal lumbosacral angle and the measured width of facet joint effusion were significantly greater in the DLS group than in the control group,and these differences were also statistically significant(P<0.05).No statistically significant differences were observed between the two groups in the cross-sectional areas of the left and right psoas major muscles,the left and right erector spinae muscles,or the thickness of the ligamentum flavum(P>0.05).Results from the logistic regression model indicated that intervertebral disc degeneration>grade III,facet joint degeneration>grade II,Modic type III endplate changes,smaller cross-sectional area of the left and right multifidus muscles,larger lumbosacral angle,and greater facet joint effusion were risk factors for the occurrence of DLS in patients with lumbar degenerative disease(P<0.05).The logistic regression model yielded a sensitivity of 81.73%and a specificity of 78.66%for predicting DLS in patients with lumbar degenerative disease;the area under the ROC curve(AUC)was 0.868[95%confidence interval(CI):0.814-0.923].[Conclusion]The sagittal and axial parameters of the lumbar vertebrae in patients with lumbar degenerative diseases under MRI scans have undergone significant changes.Moreover,the effusion of facet joints is significant and the multifidus muscle has degeneration,all of which are closely related to the occurrence of DLS.Constructing a model based on the above parameters for the prediction of DLS has high clinical value.

李敏

开封市中医院 影像科,河南 开封 475000

医药卫生

磁共振腰椎退行性疾病腰椎滑脱症危险因素预测

magnetic resonance imaginglumbar degenerative diseaseslumbar spondylolisthesisrisk factorsprediction

《中国医学工程》 2026 (3)

60-65,6

10.19338/j.issn.1672-2019.2026.03.010

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