Gavotto Amandine, Fontaine Denys, Fabre Roxane, Litrico Stephane, Gennari Antoine
Neurosurgery Department, Université Côte Azur, CHU Nice, Nice, France.
Spine Surgery Department, Université Côte Azur, CHU Nice, Nice, France.
Eur Spine J. 2025 Mar 26. doi: 10.1007/s00586-025-08779-z.
Lumbar foraminal stenosis (LFS) accounts 8-11% of leg radiculopathy cases, typically assessed by MRI with qualitative classifications and more recently, quantitative ones. However, a combined surface area assessment of the foramen and exiting nerve root is lacking. We aimed to correlate the Nerve root/Foramen ratio (N/F ratio), a novel quantitative assessment for LFS, with Lee's classification.
We studied lumbar spine MRI images of 36 patients eligible for degenerative lumbar spine surgery. Inclusion criteria comprised T2-weighted 3D images (120-210 slices) from L1 to S1 without artifacts. LFS severity was assessed using the N/F ratio and Lee's classification. Image analysis utilized sagittal reconstructions of T2-weighted 3D axial sequences using 3D slicer software. Quantitative analysis of 360 foramens was conducted using manual segmentation to calculate the N/F ratio from the cross-sectional areas of the foramen and exiting nerve root (higher score indicates more severe LFS). Qualitative LFS analysis was based on Lee's classification (grade 0 to 3).
LFS severity (N/F ratio and Lee's grade) increased in the craniocaudal direction. Stratified by level and side, the N/F ratio was significantly correlated with Lee's grade, except for the right L2L3 foramen. Applying a linear mixed model, a positive and significant association was found between Lee's classification and the N/F ratio (β = 0.10 [95%CI: 0.09 ; 0.10]; p < 0.001).
The N/F ratio emerges as an objective quantitative measure for LFS correlated to Lee's classification, integrating evaluation of perineural intraforaminal elements and exiting nerve root. Future automating manual segmentation could facilitate rapid LFS evaluation in daily clinic.
腰椎椎间孔狭窄(LFS)占腿部神经根病病例的8 - 11%,通常通过MRI进行评估,包括定性分类,最近也有定量分类。然而,目前缺乏对椎间孔和穿出神经根的联合表面积评估。我们旨在将神经根/椎间孔比值(N/F比值)这一用于LFS的新型定量评估方法与Lee氏分类法进行关联。
我们研究了36例符合退行性腰椎手术条件患者的腰椎MRI图像。纳入标准包括从L1至S1的T2加权3D图像(120 - 210层)且无伪影。使用N/F比值和Lee氏分类法评估LFS严重程度。图像分析利用3D Slicer软件对T2加权3D轴向序列进行矢状面重建。通过手动分割对360个椎间孔进行定量分析,以计算椎间孔和穿出神经根横截面积的N/F比值(分数越高表明LFS越严重)。LFS的定性分析基于Lee氏分类法(0至3级)。
LFS严重程度(N/F比值和Lee氏分级)在头尾方向上增加。按节段和侧别分层后,除右侧L2L3椎间孔外,N/F比值与Lee氏分级显著相关。应用线性混合模型,发现Lee氏分类法与N/F比值之间存在正相关且具有统计学意义(β = 0.10 [95%CI: 0.09 ; 0.10];p < 0.001)。
N/F比值成为一种与Lee氏分类法相关的用于LFS的客观定量测量方法,整合了椎间孔内神经周围结构和穿出神经根的评估。未来实现手动分割自动化可促进日常临床中LFS的快速评估。