Wierzbicki Venceslao, Pesce Alessandro, Marrocco Luigi, Piccione Emanuele, Colonnese Claudio, Caruso Riccardo
Neurosurgical Division of the Rome Army Medical Center, Rome, Italy.
Neurosurgical Division Sant'Andrea Hospital, Sapienza Rome University, Rome, Italy.
Eur Spine J. 2015 Dec;24(12):2763-70. doi: 10.1007/s00586-014-3673-4. Epub 2014 Nov 23.
This article aims at presenting a scale that, through the analysis of MRI images, clearly charts the various degenerative stages of the cervical spine and establishes its biological age. We have created this scale by summing together various scores linked to a selection of parameters according to which MRI images are analyzed.
We examined 423 cervical spine MRI scans, belonging to patients who had been admitted to the Medical Imaging Service of the Military Hospital of Rome between January 2010 and July 2011. We selected 6 parameters for the analysis of the MRI scans of the cervical spine: (1) the degeneration of the intervertebral discs, (2) the degeneration of the yellow ligaments, (3) the degeneration of the vertebral bodies, (4) the possible presence of spondylolistheses, (5) the presence or absence of foraminal stenosis, and (6) the diameter of the spinal canal. We assigned to each parameter a score system based on a graduated scale. The cervical spine physiological age can be determined by summing up the scores obtained for each parameter.
We submitted the data obtained from the study to a statistical enquiry. The results of the enquiry confirmed the suitability of the parameters selected for the evaluation of the aging process of the cervical spine.
The effectiveness of the various treatments for cervical spine degenerative disorders is influenced by the overall anatomical conditions of the cervical spine. Up until now there has been no objective criterion for the evaluation of these anatomical conditions. We believe that this scale will be a useful tool to homogenize retrospective studies and to correctly set up prospective studies on the degenerative conditions of the cervical spine and relative treatments.
本文旨在提出一种通过分析MRI图像清晰描绘颈椎各个退变阶段并确定其生物学年龄的量表。我们通过将与一系列用于分析MRI图像的参数相关的各种分数相加,创建了这个量表。
我们检查了423例颈椎MRI扫描,这些扫描属于2010年1月至2011年7月期间入住罗马军事医院医学影像科的患者。我们选择了6个参数用于分析颈椎MRI扫描:(1)椎间盘退变,(2)黄韧带退变,(3)椎体退变,(4)是否存在椎体滑脱,(5)是否存在椎间孔狭窄,(6)椎管直径。我们根据分级量表为每个参数分配了一个评分系统。颈椎生理年龄可通过将每个参数获得的分数相加来确定。
我们将研究获得的数据提交进行统计调查。调查结果证实了所选参数适用于评估颈椎的老化过程。
颈椎退变疾病各种治疗方法的有效性受颈椎整体解剖状况的影响。到目前为止,尚无评估这些解剖状况的客观标准。我们认为这个量表将是一个有用的工具,可使回顾性研究同质化,并正确开展关于颈椎退变状况及相关治疗的前瞻性研究。