商务合作
动脉网APP
可切换为仅中文
The final, formatted version of the article will be published soon.You have multiple emails registered with Frontiers:Please enter your email address:
这篇文章的最终格式化版本将很快发布。您在Frontiers注册了多封电子邮件:请输入您的电子邮件地址:
If you already have an account, please
如果您已经有帐户,请
login
登录名
You don't have a Frontiers account ? You can
你没有Frontiers帐户?你可以
register herePurpose: This study aimed to investigate the effect of lumbar multifidus muscle(MF) degeneration on upper lumbar disc herniation(ULDH).Methods: This study used 3.0T magnetic resonance imaging(MRI)T2 axial weighted images to retrospectively analyze 93 ULDH patients and 111 healthy participants.
注册目的:本研究旨在探讨腰椎多裂肌(MF)退变对上腰椎间盘突出症(ULDH)的影响。方法:本研究使用3.0T磁共振成像(MRI)T2轴向加权图像回顾性分析93例ULDH患者和111例健康参与者。
Sixty-five pairs of participants were included in this study using propensity score matching(PSM). Cross-sectional area, fat infiltration area, anteroposterior diameter(APD), lateral diameter(LD), cross-sectional area of the bilateral multifidus muscles at the corresponding level, intervertebral disc area at the corresponding section, and visual analog scale(VAS) score for low back pain(LBP).
使用倾向评分匹配(PSM)将65对参与者纳入本研究。横截面积,脂肪浸润面积,前后径(APD),侧径(LD),相应水平双侧多裂肌的横截面积,相应部分的椎间盘面积和视觉模拟评分(VAS)评分腰痛(LBP)。
For inter-group comparisons, we used the t-test, analysis of variance(ANOVA), Mann-Whitney U test, Kruskal-Wallis test, chi-square test, or Fisher's exact test, according to the type of data. We used Pearson correlation analysis to study the correlation between the VAS score and related indicators, and established a predictive model for upper lumbar disc herniation using the receive operative characteristic(ROC) curve analysis method.
对于组间比较,我们根据数据类型使用t检验,方差分析(ANOVA),Mann-Whitney U检验,Kruskal-Wallis检验,卡方检验或Fisher精确检验。我们使用Pearson相关分析来研究VAS评分与相关指标之间的相关性,并使用ROC曲线分析方法建立了上腰椎间盘突出症的预测模型。
Finally, univariate and multivariate logistic regression analyses were performed to establish a predictive model for the risk of high lumbar disc herniation.Results: We compared the fat areas at the lumbar vertebral levels L1/2, L2/3, and L3/4, as well as the left lateral diameter(LD)(MF), L1/2 left lumbar multifidus muscle index(LMFI), and L1/2 total fat infiltration cross-section area(TFCSA), and found significant differences between the case and control groups(P < 0.001).
最后,进行单因素和多因素logistic回归分析,以建立高腰椎间盘突出症风险的预测模型。结果:我们比较了腰椎L1/2,L2/3和L3/4水平的脂肪面积,以及左侧外径(LD)(MF),L1/2左腰椎多裂肌指数(LMFI)和L1/2总脂肪浸润横截面积(TFCSA),发现病例组和对照组之间存在显着差异(P<0.001)。
Furthermore, we observed a significant positive correlation(P < 0.05) between the VAS scores and multiple muscle indicators. Additionally, we developed ROC prediction mo.
此外,我们观察到VAS评分与多种肌肉指标之间存在显着的正相关(P<0.05)。。