Program Director and Assistant Professor of Orthodontics, College of Dental Medicine, University of Sharjah, Sharjah, United Arab Emirates.
Assistant Professor of Orthodontics, Faculty of Dentistry, Ain Shams University, Cairo, Egypt.
Clin Oral Investig. 2024 Nov 1;28(11):621. doi: 10.1007/s00784-024-06021-6.
The purpose of this study was to assess the accuracy of two web-based automated cephalometric landmark identification and analysis programs. Manual landmark identification using Dolphin Imaging software was used as reference.
105 cephalograms were selected and divided into three groups of 35 subjects each, Class I, II and III. Radiographs were traced using Dolphin imaging software. WebCeph™ (South Korea) and Cephio™ (Poland) were used for the automated cephalometric analysis. Bland-Altman limits of agreement and the concordance correlation coefficient (CCC) were calculated. Kruskal Wallis test was used to compare the accuracy of WebCeph™ and Cephio™ measurements between the three groups. Mann-Whitney U test was used to compare the absolute difference between cephalometric measurements obtained using WebCeph™ and Cephio™.
The mean difference (MD) between AI and manually-derived measurements was less than 1 mm/degree and ranged from 0.01 to 0.8 except for upper lip protrusion (MD 1.35°), nasolabial angle (MD 5.01°), SN-GoGn (MD 1.41°), Ramus height (MD 1.46°), and IMPA (MD 1.94°). The mean CCC was 0.91 (range 0.60 to 0.96). No statistically significant differences were found between the three malocclusion groups for most of the measurements (P > 0.05).
For most of the measurements, automated cephalometric measurements were clinically acceptable. Few differences were found between Webceph™ and Cephio™ for most measurements. Measurements including SNA, SN-PP, IMPA as well as soft tissue measurements require extra consideration and manual adjustment of respective landmarks for higher precision and improved efficiency.
本研究旨在评估两种基于网络的自动头影测量标志点识别和分析程序的准确性。以 Dolphin Imaging 软件的手动标志点识别为参考。
选择 105 例头颅侧位片，分为 3 组，每组 35 例，分别为 I 类、II 类和 III 类。使用 Dolphin Imaging 软件对 X 线片进行描记。使用 WebCeph（韩国）和 Cephio（波兰）进行自动头影测量分析。计算 Bland-Altman 一致性界限和一致性相关系数（CCC）。采用 Kruskal-Wallis 检验比较 WebCeph 和 Cephio 在三组间的测量准确性。采用 Mann-Whitney U 检验比较 WebCeph 和 Cephio 测量的绝对差值。
AI 与手动测量值之间的平均差异（MD）小于 1mm/度，范围为 0.01 至 0.8，除上唇突距（MD 1.35°）、鼻唇角（MD 5.01°）、SN-GoGn（MD 1.41°）、下颌支高度（MD 1.46°）和 IMPA（MD 1.94°）外。平均 CCC 为 0.91（范围为 0.60 至 0.96）。大多数测量值在三组错颌畸形中无统计学差异（P>0.05）。
对于大多数测量值，自动头影测量是临床可接受的。Webceph 和 Cephio 对大多数测量值的差异不大。对于 SNA、SN-PP、IMPA 以及软组织测量等测量值，需要额外考虑并对手动调整相应的标志点，以提高精度和效率。
