Radulesco Thomas, Hazbri Djamel, Dessi Patrick, Adalian Pascal, Michel Justin
Department of Oto-Rhino-Laryngology and Head and Neck Surgery, APHM, La Conception University Hospital, 147 Bvd Baille, 13005, Marseille, France.
Aix Marseille Univ, CNRS, IUSTI, Marseille, France.
Surg Radiol Anat. 2019 Jul;41(7):823-831. doi: 10.1007/s00276-019-02235-6. Epub 2019 Apr 2.
The nasal septum presents inter-individual conformational variations. The objectives of this study were to establish a validated protocol for nasal septum analysis using geometric morphometrics (GM) to establish a classification of septal deviations (SD).
This was a retrospective study including two groups of patients: patients operated on by septoplasty (SD group) and patients without nasal obstruction (control group). The 3D segmentation model was extracted from CT scans. Thirty landmarks were defined on the nasal septum and validated by MANOVA Procrustes. Using a clusterization process, the septum was classified to reflect its different conformations. Nasal resistances were compared between the two groups.
Fifty scans of patients with SD were included. The percentage of variability due to measurement error was 7.9% across all landmarks. We identified two clusters for the SD group. Using GM, conformation of cluster 1 (S-shaped) and cluster 2 (C-shaped) was visualized and identified. There was a statistically significant difference regarding nasal resistance between each cluster in the SD group compared with the control group (p < 0.05).
This work is a first step in SD exploration, contributing to a clearer appreciation of the interactions between nasal conformation and function. An SD classification was devised based on a reliable and reproducible statistical analysis. Enhanced understanding of conformation/function interactions will improve the diagnosis and treatment of nasal obstruction.
鼻中隔存在个体间的形态差异。本研究的目的是建立一种经过验证的使用几何形态计量学(GM)分析鼻中隔的方案,以建立鼻中隔偏曲(SD)的分类。
这是一项回顾性研究,包括两组患者:接受鼻中隔成形术的患者(SD组)和无鼻塞的患者(对照组)。从CT扫描中提取3D分割模型。在鼻中隔上定义了30个地标,并通过多变量方差分析普洛科斯特法进行验证。使用聚类过程对鼻中隔进行分类以反映其不同形态。比较两组之间的鼻阻力。
纳入了50例SD患者的扫描图像。所有地标测量误差导致的变异性百分比为7.9%。我们为SD组确定了两个聚类。使用GM可视化并识别了聚类1(S形)和聚类2(C形)的形态。与对照组相比,SD组各聚类之间的鼻阻力存在统计学显著差异(p < 0.05)。
这项工作是探索SD的第一步,有助于更清楚地了解鼻腔形态与功能之间的相互作用。基于可靠且可重复的统计分析设计了一种SD分类。对形态/功能相互作用的深入理解将改善鼻塞的诊断和治疗。