Wang Yunsheng, Zhang Jiali, Tong Tong, Miao Dechao, Wang Feng, Wang Linfeng
Department of Orthopaedic Surgery, Third Hospital of Hebei Medical University, Shijiazhuang, China.
Key Laboratory of Orthopedic Biomechanics of Hebei Province, Shijiazhuang, China.
Global Spine J. 2025 May;15(4):2226-2235. doi: 10.1177/21925682241293038. Epub 2024 Oct 14.
Study designRetrospective cohort study.ObjectivesTo compare Hounsfield unit (HU), vertebral bone quality (VBQ), and dual-energy X-ray absorptiometry (DEXA) T-score in predicting cage subsidence (CS) after posterior lumbar interbody fusion.MethodsWe retrospectively reviewed patients undergoing PLIF and measured L4 HU and VBQ. Baseline characteristics between CS and non-CS groups were compared. Multiple logistic regression analysis was used to identify risk factors for CS. Receiver operating characteristic (ROC) curves were used to explore the predictive value of variables for CS. Subgroup analysis was conducted for patients with available DEXA results.ResultsEighty-four patients were analyzed. The subsidence group was older, with lower L4 HU (92.6 (35.4) vs 130.8 (47.8), < 0.001) and higher VBQ (3.30 (0.64) vs 2.99 (0.63), = 0.041) compared to the non-CS group. Low L4 HU (OR 0.979, = 0.022) was an independent risk factor for subsidence, while VBQ was not. ROC analysis indicated that L4 HU (AUC = 0.733, < 0.001) exhibited superior predictive performance compared to VBQ (AUC = 0.643, = 0.032). Subgroup analysis in patients with DEXA showed that the femoral neck T-score (AUC = 0.67, = 0.037) could differentiate CS, with L4 HU exhibiting the highest predictive ability (AUC = 0.778, < 0.001), both outperforming VBQ (AUC = 0.645, = 0.075).ConclusionsAmong the three BMD parameters, only low L4 HU could be an independent risk factor for CS. Preoperative HU is mandatory in patients at risk for osteoporosis when undergoing spine surgery.
研究设计
回顾性队列研究。
目的
比较Hounsfield单位(HU)、椎体骨质量(VBQ)和双能X线吸收法(DEXA)T值在预测腰椎后路椎间融合术后椎间融合器下沉(CS)方面的作用。
方法
我们回顾性分析了接受PLIF手术的患者,并测量了L4的HU和VBQ。比较了CS组和非CS组之间的基线特征。采用多因素logistic回归分析确定CS的危险因素。采用受试者工作特征(ROC)曲线探讨各变量对CS的预测价值。对有可用DEXA结果的患者进行亚组分析。
结果
共分析了84例患者。与非CS组相比,下沉组患者年龄更大,L4的HU更低(92.6(35.4)对130.8(47.8),P<0.001),VBQ更高(3.30(0.64)对2.99(0.63),P = 0.041)。低L4 HU(比值比0.979,P = 0.022)是下沉的独立危险因素,而VBQ不是。ROC分析表明,L4 HU(曲线下面积=0.733,P<0.001)与VBQ(曲线下面积=0.643,P = 0.032)相比具有更好的预测性能。对有DEXA结果的患者进行的亚组分析表明,股骨颈T值(曲线下面积=0.67,P = 0.037)可以区分CS,L4 HU的预测能力最高(曲线下面积=0.778,P<0.001),两者均优于VBQ(曲线下面积=0.645,P = 0.075)。
结论
在这三个骨密度参数中,只有低L4 HU可能是CS的独立危险因素。对于有骨质疏松风险的患者,脊柱手术前必须测量HU。