Yan Chen, Tan Hao-Yuan, Ji Cheng-Long, Yu Xue-Wei, Jia Huai-Cheng, Li Fu-Dong, Jiang Gui-Cheng, Li Wei-Shi, Zhou Fei-Fei, Ye Zhen, Sun Jing-Chuan, Shi Jian-Gang
Second Department of Spine Surgery, Changzheng Hospital, Second Military Medical University, Shanghai, China.
Undergraduate Incubation Center, Second Military Medical University, Shanghai, China.
Quant Imaging Med Surg. 2021 May;11(5):2040-2051. doi: 10.21037/qims-20-713.
Thoracic ossification of the ligamentum flavum (OLF) is a major cause of thoracic myelopathy, which is often accompanied by multiple segmental stenosis or other degenerative spinal diseases. However, in the above situations, it is difficult to determine the exact segment responsible. The objective of this study was to analyze three-dimensional (3D) radiological parameters in order to establish a novel diagnostic method for discriminating the responsible segment in OLF-induced thoracic myelopathy, and to evaluate its superiority compared to the conventional diagnostic methods.
Eighty-one patients who underwent surgery for thoracic myelopathy caused by OLF from 2016 to 2020 were enrolled in this study as the myelopathy group, and 79 patients who had thoracic OLF but displayed no definite neurological signs from 2018 to 2020 were enrolled as the non-myelopathy group. We measured the one-dimensional (1D), two-dimensional (2D), and 3D radiological parameters, calculated their optimal cutoff values, and compared their diagnostic values.
Significant differences were observed in the 1D, 2D, and 3D radiological parameters between the myelopathy and non-myelopathy groups (P<0.01). As a 3D radiological parameter, the OLF volume (OLFV) ratio (OLFV ratio = OLFV/normal canal volume × 100%) was the most accurate parameter for diagnosing OLF-induced thoracic myelopathy, with a diagnostic coincidence rate of 88.1%. We also found that an OLFV ratio of 26.3% could be used as the optimal cutoff value, with a sensitivity of 87.7% and a specificity of 88.6%. Moreover, the OLFV ratio [area under the curve (AUC): 0.92, 95% confidence interval (CI): 0.86-0.95] showed a statistically higher diagnostic value than the 1D and 2D parameters (AUC: 0.75, 95% CI: 0.67-0.81; AUC: 0.84, 95% CI: 0.77-0.89, respectively) (P<0.05). Pearson correlation analysis illustrated that the OLFV ratio was significantly negatively correlated with preoperative modified Japanese Orthopedic Association (mJOA) score (r=-0.73, 95% CI: -0.81 to -0.60, P<0.01).
Our results demonstrate the superiority of the OLFV ratio over the conventional 1D and 2D computed tomography (CT)-based radiological parameters for the diagnosis of OLF-induced thoracic myelopathy. The novel diagnostic method based on the OLFV ratio will help to determine the responsible segment in multi-segmental thoracic OLF or when thoracic OLF coexists with other degenerative spinal diseases. The OLFV ratio also accurately reflects the clinical state of symptomatic patients with thoracic OLF.
胸椎黄韧带骨化(OLF)是胸髓病的主要病因,常伴有多节段狭窄或其他脊柱退行性疾病。然而,在上述情况下,很难确定确切的责任节段。本研究的目的是分析三维(3D)影像学参数,以建立一种新的诊断方法来鉴别OLF所致胸髓病的责任节段,并评估其与传统诊断方法相比的优越性。
将2016年至2020年因OLF导致胸髓病而接受手术的81例患者纳入本研究作为髓病组,将2018年至2020年有胸椎OLF但未表现出明确神经体征的79例患者纳入非髓病组。我们测量了一维(1D)、二维(2D)和三维影像学参数,计算其最佳截断值,并比较它们的诊断价值。
髓病组和非髓病组在1D、2D和3D影像学参数上存在显著差异(P<0.01)。作为三维影像学参数,OLF体积(OLFV)比率(OLFV比率=OLFV/正常椎管容积×100%)是诊断OLF所致胸髓病最准确的参数,诊断符合率为88.1%。我们还发现OLFV比率为26.3%可作为最佳截断值,敏感性为87.7%,特异性为88.6%。此外,OLFV比率[曲线下面积(AUC):0.92,95%置信区间(CI):0.86-0.95]显示出比1D和2D参数(AUC分别为:0.75,95%CI:0.67-0.81;AUC:0.84,95%CI:0.77-0.89)更高的诊断价值(P<0.05)。Pearson相关性分析表明,OLFV比率与术前改良日本骨科协会(mJOA)评分显著负相关(r=-0.73,95%CI:-0.81至-0.60,P<0.01)。
我们的结果表明,在诊断OLF所致胸髓病方面,OLFV比率优于传统的基于一维和二维计算机断层扫描(CT)的影像学参数。基于OLFV比率的新诊断方法将有助于确定多节段胸椎OLF或胸椎OLF与其他脊柱退行性疾病并存时的责任节段。OLFV比率还准确反映了有症状的胸椎OLF患者的临床状态。