RECOVER Injury Research Centre, National Health and Medical Research Council Centre for Research Excellence in Recovery Following Road Traffic Injuries, The University of Queensland, Herston, Australia; Menzies Health Institute Queensland, Griffith University, Brisbane, Australia.
Otago Medical School, University of Otago, Dunedin, New Zealand; Institute for Health Sciences, Zurich University of Applied Sciences, Winterthur, Switzerland.
J Manipulative Physiol Ther. 2020 Jul-Aug;43(6):579-587. doi: 10.1016/j.jmpt.2019.10.010. Epub 2020 Aug 26.
The composition of cervical-spine meniscoids may have clinical significance in neck-pain conditions, but the accuracy of assessment of meniscoid composition in vivo using magnetic resonance imaging has not been established. The aim of this study was to compare cervical-spine meniscoid composition by magnetic resonance imaging with histologic composition.
Four embalmed cadaveric cervical spines (mean [standard deviation] age, 79.5 [3.7] years; 1 female, 3 male) underwent magnetic resonance imaging, allowing radiologic classification of lateral atlantoaxial- and zygapophyseal-joint (C2-3 to C6-7) meniscoids as either mostly fatty, mixed tissue, or mostly connective tissue. Subsequently, each joint was dissected and disarticulated to allow excision of meniscoids for histologic processing. Each meniscoid was sectioned sagittally, stained with hematoxylin and eosin, examined using light microscopy, and classified as adipose, fibroadipose, or fibrous in composition. Data were analyzed using the kappa statistic with linear weighting.
From dissection, 62 meniscoids were identified, excised, and processed; 46 of these 62 were visualized with magnetic resonance imaging. For single-rater identifying structures, agreement between assessment of meniscoid composition by magnetic resonance imaging and by microscopy was fair (κ = 0.24; 95% confidence interval, 0.02-0.46; P = .02).
Findings suggest that the accuracy of this method of magnetic resonance imaging assessment of cervical-spine meniscoid composition may be limited. This should be considered when planning or interpreting research investigating meniscoid composition using magnetic resonance imaging.
颈椎间盘半月板的组成可能与颈部疼痛状况有关,但尚未确定使用磁共振成像(MRI)评估体内半月板组成的准确性。本研究的目的是比较 MRI 评估的颈椎间盘半月板组成与组织学组成。
4 具防腐的颈椎尸体标本(平均[标准差]年龄,79.5[3.7]岁;1 名女性,3 名男性)接受 MRI 检查,允许对侧寰枢关节和关节突关节(C2-3 至 C6-7)半月板进行放射学分类,分为主要为脂肪、混合组织或主要为结缔组织。随后,每个关节被解剖和分离,以便切除半月板进行组织学处理。每个半月板被矢状切开,用苏木精和伊红染色,用光学显微镜检查,并根据组织学组成分为脂肪、纤维脂肪或纤维。使用线性加权 kappa 统计分析数据。
从解剖中,确定了 62 个半月板,切除并处理;62 个半月板中有 46 个在 MRI 上可见。对于单一评分者识别结构,MRI 评估半月板组成与显微镜评估之间的一致性为一般(κ=0.24;95%置信区间,0.02-0.46;P=0.02)。
这些发现表明,这种评估颈椎间盘半月板组成的 MRI 方法的准确性可能有限。在使用 MRI 研究半月板组成时,应考虑到这一点。