Su Tong, Meng Tong, Zhao Kangcheng, Song Dianwen, Huang Weibo, Yin Huabin
Shanghai General Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Eur Spine J. 2025 May;34(5):1750-1760. doi: 10.1007/s00586-025-08760-w. Epub 2025 Mar 14.
The aim of this study is to estimate the diagnostic efficiency of VBQ score for assessing osteopenia and osteoporosis in different Roussouly types in lumbar degenerative disease.
We reviewed the preoperative data of 501 patients with lumbar degenerative diseases who underwent lumbar spine surgery between July 2019 and December 2022 with available T1-weighted magnetic resonance imaging and dual-energy X-ray absorptiometry. Receiver operating characteristic (ROC) curves were plotted to analyze the diagnostic performance of VBQ score in different Roussouly classifications. For each Roussouly type, one-way ANOVA was applied to compare VBQ score across different lumbar segments. Statistical significance was set at P < 0.05.
No statistical difference was found between the VBQ score of L1, L2, L3 and L4. Lumbar lordosis and sacral slope were not independently associated with VBQ score. According to the ROC curve, Roussouly type 1 to 4 showed AUC of 0.738, 0.799, 0.764 and 0.817, respectively, in diagnosing osteopenia. Roussouly type 1 to 4 showed AUC of 0.690, 0.703, 0.851 and 0.643, respectively, in diagnosing osteoporosis.
Different Roussouly types would not affect the diagnosis efficiency of VBQ score in diagnosing osteopenia. However, VBQ score showed better performance in diagnosing osteoporosis for Roussouly type 3. When VBQ score was applied as opportunistic screening method for osteoporosis, choosing appropriate patients was important to improve the diagnostic accuracy.
本研究旨在评估VBQ评分在腰椎退行性疾病不同鲁索利(Roussouly)类型中诊断骨质减少和骨质疏松的诊断效率。
我们回顾了2019年7月至2022年12月期间接受腰椎手术的501例腰椎退行性疾病患者的术前数据,这些患者有可用的T1加权磁共振成像和双能X线吸收法。绘制受试者操作特征(ROC)曲线以分析VBQ评分在不同鲁索利分类中的诊断性能。对于每种鲁索利类型,采用单因素方差分析比较不同腰椎节段的VBQ评分。设定统计学显著性为P < 0.05。
L1、L2、L3和L4的VBQ评分之间未发现统计学差异。腰椎前凸和骶骨倾斜度与VBQ评分无独立相关性。根据ROC曲线,鲁索利1型至4型在诊断骨质减少时的曲线下面积(AUC)分别为0.738、0.799、0.764和0.817。鲁索利1型至4型在诊断骨质疏松时的AUC分别为0.690、0.703、0.851和0.643。
不同的鲁索利类型不会影响VBQ评分诊断骨质减少的诊断效率。然而,VBQ评分在诊断鲁索利3型骨质疏松时表现更好。当将VBQ评分用作骨质疏松的机会性筛查方法时,选择合适的患者对于提高诊断准确性很重要。