Kumar Mukesh, Kumari Sommya, Chandna Ambuj, Singh Anju, Kumar Harsh
Vardhman Institute of Medical Sciences, Pawapuri, Nalanda, Bihar, India.
Department of Prosthodontics and Crown & Bridge, Buddha Institute of Dental Sciences & Hospital, Patna, Bihar, India.
J Int Soc Prev Community Dent. 2020 Jun 15;10(3):286-291. doi: 10.4103/jispcd.JISPCD_4_20. eCollection 2020 May-Jun.
Since the introduction of digitization in cephalometrics, orthodontics has experienced a new horizon. Technological advancement is usually followed by comparisons between the methods.
The aim of this study was to compare values of cephalometric analysis performed by CephNinja and NemoCeph for Downs's analysis.
This prospective study was conducted using 100 diagnostic digital lateral cephalograms taken from the same machine. The samples were collected by non-probability convenience sampling procedures.
The diagnostic images were cropped to standard lateral cephalogram film dimension; a scale image was placed on the top for calibration, numbered 1-100 for identification and was saved in Joint Photographic Experts Group (JPEG) format. A laptop with mouse-controlled cursor was used for NemoCeph and an android phone controlled with finger touch screen was used for CephNinja. Landmark identification for cephalometric analysis was carried out as demanded by the software.
One-way analysis of variance (ANOVA) was used for comparison between the variables, and one-way ANOVA followed by test was carried out to check the level of significance using Statistical Package for the Social Sciences software program, version 11.0.
The result showed that the difference of mean values obtained using the two software showed no statistical significance for 70% variables. -axis, incisor occlusal plane angle, and the upper incisor to A-Pog showed a statistically significant difference.
CephNinja presented a satisfactory result with NemoCeph, and can be used interchangeably with confidence.
自头影测量数字化技术引入以来，正畸学迎来了新的发展前景。技术进步通常伴随着对不同方法的比较。
本研究旨在比较CephNinja和NemoCeph对头影测量分析进行唐氏分析所得的值。
本前瞻性研究使用了从同一台机器获取的100张诊断性数字化侧位头影图。样本通过非概率便利抽样程序收集。
将诊断图像裁剪为标准侧位头影图胶片尺寸；在顶部放置一张比例尺图像进行校准，编号为1 - 100用于识别，并保存为联合图像专家组（JPEG）格式。使用带有鼠标控制光标功能的笔记本电脑运行NemoCeph，使用手指触摸屏控制的安卓手机运行CephNinja。按照软件要求进行头影测量分析的标志点识别。
采用单因素方差分析（ANOVA）对变量进行比较，并使用社会科学统计软件包11.0版本进行单因素方差分析，随后进行检验以检查显著性水平。
结果显示，使用两种软件获得的平均值差异对于70%的变量无统计学意义。X轴、切牙咬合平面角以及上前牙至A - Pog距离显示出统计学显著差异。
CephNinja与NemoCeph的结果令人满意，可放心交替使用。
