Orthodontists, United International Dental Complex,, Jazan, Saudi Arabia.
General Practitioner, Denal Department, Tadawi Medical Complex, Jazan, Saudi Arabia.
Med Sci Monit. 2024 Jun 23;30:e944628. doi: 10.12659/MSM.944628.
BACKGROUND Cephalometric radiography evaluates facial skeleton development and aids in diagnosis and treatment phases (pre and post) in orthodontics. This study aimed to compare digital cephalometric tracing using a smartphone application (App), a tablet-based platform, and manual tracing in 30 orthodontic patients. MATERIAL AND METHODS Thirty orthodontic pretreatment, criteria based, lateral cephalometric radiographs were analyzed/grouped for Steiner analysis parameters (5 skeletal, 3 dentals, 1 soft tissue) by 3 tracing methods [manual - group (Gp M), smartphone (Android - OS9) - Gp S, tablet (Apple - IOS13) - Gp T) after mandatory standardization/calibration. Measurements include 5 angular (SNA, SNB, ANB, SNMPA, SNOP), 3 linear U1NA, L1NB, U1L1, and 1 soft tissue (S line) (millimeters and degrees). Inter-examiner rating was determined using Dahlberg's test. After normality distribution testing (Shapiro-Wilk), data were analyzed using one-way analysis of variance (ANOVA) for group differences. Homogeneity of variance was verified using the Levene test. Differences were determined on probability value of (p≤0.05). RESULTS The results showed that Steiner's analysis parameters were similar in all groups with homogenous variances. Highest differences in mean values were found for L1NB, U1L1, and S line measurement, with higher values being observed in Gp S tracings. However, these differences were not statistically significant (p≤0.05). All parameters, irrespective of being measured in either degrees or millimeters, had means comparable to each other. CONCLUSIONS Smartphone and tablet-based applications produced tracings that were comparable and reliable when compared to conventional manual tracings. Standardization of images, processing, printing, and calibration of devices is important to achieve good results.
头颅侧位片评估面颅骨的发育情况,并有助于正畸的诊断和治疗阶段(治疗前和治疗后)。本研究旨在比较使用智能手机应用程序(App)、基于平板电脑的平台和手动描记对 30 名正畸患者的数字化头颅侧位片进行描记。
对 30 名正畸治疗前、基于标准的侧位头颅 X 光片进行分析/分组,进行 Steiner 分析参数(5 个骨骼、3 个牙齿、1 个软组织),使用 3 种描记方法[手动描记组(Gp M)、智能手机(Android-OS9)-Gp S、平板电脑(Apple-IOS13)-Gp T],在进行强制性标准化/校准后进行。测量包括 5 个角度(SNA、SNB、ANB、SNMPA、SNOP)、3 个线性 U1NA、L1NB、U1L1 和 1 个软组织(S 线)(毫米和度)。使用 Dahberg 检验进行组间评估者评分。在进行正态分布检验(Shapiro-Wilk)后,使用单向方差分析(ANOVA)对组间差异进行分析。使用 Levene 检验验证方差的同质性。差异概率值为(p≤0.05)。
结果表明,所有组的 Steiner 分析参数均相似,具有同质方差。L1NB、U1L1 和 S 线测量的平均值差异最大,Gp S 描记的数值较高。然而,这些差异没有统计学意义(p≤0.05)。所有参数,无论是以度还是毫米为单位进行测量,其平均值均相互可比。
与传统手动描记相比,基于智能手机和基于平板电脑的应用程序生成的描记结果相似且可靠。图像标准化、处理、打印和设备校准对于获得良好的结果非常重要。