Assistant Professor and Assistant Program Director AEGD, Comprehensive Dentistry Department, College of Dentistry, Texas A&M University, Dallas, Texas; Affiliate Assistant Professor, Graduate Prosthodontics, University of Washington, Seattle, Wash; Researcher, Revilla Research Center, Madrid, Spain.
Predoctoral student, College of Dentistry, Texas A&M University, Dallas, Texas.
J Prosthet Dent. 2020 Dec;124(6):763-773. doi: 10.1016/j.prosdent.2019.11.015. Epub 2020 Jan 22.
Intraoral scanners (IOSs), facial scanners (FSs), and computer-aided design (CAD) software programs have become powerful tools for treatment planning. However, discrepancies in perception regarding 2-dimensional (2D) or 3-dimensional (3D) simulations by dentists, dental students, and laypeople have not been analyzed.
The purpose of this observational study was to analyze the perceptions of laypersons, dental students, and dentists regarding disparities of the maxillary dental midline and the occlusal plane when analyzing the dental discrepancies on 2D- and 3D-clinical simulations.
A female model was digitized by using an FS, IOS, and a full-face smile photograph. Dental discrepancies were simulated by using a 2D photograph (2D group) and 3D scan (3D group) of the model. In both simulation groups, 2 subgroups were produced. The occlusal plane of the first subgroup was modified in 1-degree increments without changing the dental midline or the position of the maxillary dental incisors. In the second subgroup, the occlusal plane was modified by using the same increments, but the maxillary central incisors and dental midline were altered to match the inclination of the occlusal plane. A total of 300 participants (N=300) were asked to rate the 2D images (N=12) and 3D videos (N=12) on a 1-to-6 scale and answer a questionnaire. Ordinal logistic regression was used to analyze the ratings.
The ratings decreased with the increased tilt of the occlusal plane, and the layperson group gave consistently higher ratings than the other 2 groups. For dentists, the odds of giving a higher versus lower rating decreased by almost a half for each degree of tilt. However, for students, that effect was diminished by a positive interaction term, and for laypersons, the effect was even less. Students gave similar ratings to dentists, but laypersons gave higher ratings. As the age of the participants increased, however, the ratings also increased. The use of 3D versus 2D images had a positive effect on the ratings, but the effect decreased for the student observers and decreased even further for laypersons. Furthermore, midline alteration led to higher ratings but also resulted in worsening of the odds ratio for the tilt. Seventy percent of the dentists, 57% of the dental students, and 52% of the laypersons preferred 2D simulations to 3D simulations.
Dentists, dental students, and laypersons decreased their ratings with increased inclination of the occlusal plane; however, laypersons still graded all the 2D and 3D images as esthetically pleasant, giving consistently higher ratings than the dentists and dental students. Overall, 3D simulations obtained higher ratings than 2D images, but the positive effect decreased for the student observers and decreased even further for laypersons.
口内扫描仪 (IOS)、面部扫描仪 (FS) 和计算机辅助设计 (CAD) 软件程序已成为治疗计划的有力工具。然而,牙医、牙科学生和非专业人士对 2 维 (2D) 或 3 维 (3D) 模拟的感知差异尚未进行分析。
本观察性研究的目的是分析非专业人士、牙科学生和牙医对分析 2D 和 3D 临床模拟中牙齿差异时上颌牙中线和咬合平面差异的看法。
使用 FS、IOS 和全脸微笑照片对女性模型进行数字化。通过 2D 照片 (2D 组) 和模型的 3D 扫描 (3D 组) 模拟牙齿差异。在这两个模拟组中,各产生了 2 个子组。第一个子组的咬合平面以 1 度的增量进行修改,而不改变中线或上颌切牙的位置。在第二个子组中,通过相同的增量修改了咬合平面,但上颌中切牙和中线被改变以匹配咬合平面的倾斜度。共有 300 名参与者 (N=300) 被要求对 2D 图像 (N=12) 和 3D 视频 (N=12) 进行 1 到 6 的评分,并回答问卷。使用有序逻辑回归分析评分。
随着咬合平面倾斜度的增加,评分下降,非专业人士组的评分始终高于其他 2 组。对于牙医,每增加一度倾斜,给出更高评分的几率就会降低近一半。然而,对于学生来说,这种影响被一个正的交互项减弱了,而对于非专业人士来说,这种影响甚至更小。学生的评分与牙医相似,但非专业人士的评分更高。然而,随着参与者年龄的增加,评分也增加了。与 2D 图像相比,使用 3D 图像对评分有积极影响,但对于学生观察者的影响减弱,对于非专业人士的影响甚至进一步减弱。此外,中线改变导致评分更高,但也导致倾斜度的比值比更差。70%的牙医、57%的牙科学生和 52%的非专业人士更喜欢 2D 模拟而不是 3D 模拟。
牙医、牙科学生和非专业人士随着咬合平面倾斜度的增加而降低了他们的评分;然而,非专业人士仍然将所有的 2D 和 3D 图像评为美观,给予的评分始终高于牙医和牙科学生。总体而言,3D 模拟获得的评分高于 2D 图像,但对于学生观察者的积极影响减弱,对于非专业人士的影响甚至进一步减弱。