Hull Royal Infirmary, Anlaby Road, Hull, HU32JZ, UK.
Neuroradiology. 2013 Sep;55(9):1081-8. doi: 10.1007/s00234-013-1208-z. Epub 2013 Jun 6.
Cervical spine MRI with the neck in extension has been well described over the last 10 years, but its clinical value remains unknown.
We performed extension imaging in 60 patients in whom the initial neutral study showed borderline cord compression. Images were assessed using a previously validated grading system for cord compression. Multiple linear and area measurements were also obtained. Images were scored blindly and randomly. Inter- and intra-rater variability were determined in a subset of 20 cases. Independent clinical assessment utilised the Ranwat criteria.
For most parameters inter/intra-observer variance of kappa/ICC > 0.6 was highly satisfactory. Standard MR was poor at discriminating between patients with and without myelopathy (ROC analysis, area under the curve (AUC), 0.52). This was considerably improved with extension imaging (AUC, 0.60), or by using the change in compression score between neutral and extension studies. Most measurements were not helpful; however, the ratio of cord area/CSF area at the level of maximum compression on extended images was the best discriminator (AUC, 0.71), as well as the presence of T2 change in cord substance (AUC, 0.68).
This is the first study to demonstrate added clinical value utilising extension MRI. In this cohort of difficult patients, when there was no T2 signal change in the cord, the presence of clinical myelopathy could only be predicted by utilising the data from extension imaging.
过去 10 年来,颈椎伸展位 MRI 已得到充分描述,但它的临床价值仍不清楚。
我们对 60 例初始中立位研究显示脊髓轻度受压的患者进行了伸展位成像。使用先前验证的脊髓压迫分级系统评估图像。还获得了多个线性和面积测量值。图像进行了盲法和随机评分。在 20 例患者中确定了观察者间和观察者内的变异性。独立的临床评估采用 Ranwat 标准。
对于大多数参数,kappa/ICC 的观察者间/观察者内方差均大于 0.6,非常令人满意。标准 MRI 很难区分有和无脊髓病的患者(ROC 分析,曲线下面积(AUC),0.52)。通过伸展成像(AUC,0.60)或使用中立位和伸展位研究之间的压缩评分变化可以显著改善这种情况。大多数测量值都没有帮助;然而,在伸展图像上最大压迫水平的脊髓面积/CSF 面积比是最佳的鉴别指标(AUC,0.71),以及脊髓实质 T2 信号变化的存在(AUC,0.68)。
这是第一项利用伸展 MRI 显示附加临床价值的研究。在这组困难患者中,当脊髓内没有 T2 信号变化时,只有利用伸展成像的数据才能预测存在临床脊髓病。