Brandt Zachary, Nguyen Kai, Mbumbgwa Paddington, Hauser Jacob, Kubba Rohan, Oliinik Mark, Fay Andrew, Isaac Asael, Razzouk Jacob, Harianja Gideon, Chung Jun Ho, Danisa Olumide, Cheng Wayne
School of Medicine, Loma Linda University, Loma Linda, USA.
Department of Orthopaedic Surgery, Loma Linda University Medical Center, Loma Linda, USA.
Cureus. 2024 Jul 10;16(7):e64244. doi: 10.7759/cureus.64244. eCollection 2024 Jul.
Rationale and objectives This study seeks to generate a model based on two linear measurements, anteroposterior (AP) diameter and interpedicular (IPD) distance, to approximate the cervical central canal (CCC) area in a non-pathologic patient population by employing area calculations of shapes such as ellipse, rectangle, and triangle. Secondarily, this study aims to generate second-order approximations (SOAs), using the aforementioned shape approximations, to increase the utility of this linear measurement-based model. Methods The authors reviewed medical and radiographic records of patients aged 18-35 who received computed tomography (CT) imaging of the cervical spine to collect AP diameter, IPD distance, and area of the CCC from C2-3 to C6-7. Subsequently, shape approximations were calculated for each patient at all cervical spine levels. Lastly, SOAs were generated by combining optimal ratios of shape approximations to improve the statistical reliability of approximations. Results The ellipse shows the closest approximation to manual measurements of the individual shape approximations. Percent error analysis demonstrated the superiority of the ellipse, followed by the rectangle, and lastly the triangular approximation. The highest correlation of approximations was observed at C6-7. All individual shape approximations demonstrated statistical differences from manual measurements. SOAs combining ellipse and rectangle measurements demonstrated superior accuracy and were not statistically different from manual measurements. Conclusion Individual shape approximations based on AP diameter and IPD distance show some value as a model for the assessment of the CCC area. SOAs demonstrated greater utility than individual shape approximations and show promise as a linear measurement-based tool to assess the CCC area.
原理与目的 本研究旨在建立一个基于两个线性测量值（前后径（AP）和椎弓根间距（IPD））的模型，通过计算椭圆、矩形和三角形等形状的面积，来估算非病理性患者群体的颈椎中央管（CCC）面积。其次，本研究旨在利用上述形状近似值生成二阶近似值（SOA），以提高基于线性测量的模型的实用性。方法 作者回顾了年龄在18 - 35岁接受颈椎计算机断层扫描（CT）成像的患者的医学和影像学记录，以收集从C2 - 3到C6 - 7的AP直径、IPD距离和CCC面积。随后，计算每个患者在所有颈椎水平的形状近似值。最后，通过组合形状近似值的最佳比例生成SOA，以提高近似值的统计可靠性。结果 椭圆显示出与单个形状近似值的手动测量最接近。百分比误差分析表明椭圆的优越性，其次是矩形，最后是三角形近似值。在C6 - 7处观察到近似值的最高相关性。所有单个形状近似值与手动测量均显示出统计学差异。结合椭圆和矩形测量的SOA显示出更高的准确性，并且与手动测量无统计学差异。结论 基于AP直径和IPD距离的单个形状近似值作为评估CCC面积的模型具有一定价值。SOA显示出比单个形状近似值更大的实用性，并有望作为一种基于线性测量的工具来评估CCC面积。
