Divergence between CBCT and Optical Scans for Soft Tissue Analysis and Cephalometry in Facial Imaging: A cross-sectional study on healthy adults

软组织 角度 头影测量 锥束ct 医学 口腔正畸科 头影测量分析 硬组织 射线照相术 牙科 放射科 计算机断层摄影术
作者
Marco Farronato,Niccolò Cenzato,Roberta Crispino,Francesco Carlo Tartaglia,Roberto Biagi,Benedetta Baldini,Cinzia Maspero
出处
期刊:International Orthodontics [Elsevier BV]
卷期号:22 (2): 100845-100845 被引量:4
标识
DOI:10.1016/j.ortho.2024.100845
摘要

Facial soft tissue analysis is becoming increasingly emphasized in orthodontic diagnosis and treatment planning. While traditional cephalometry primarily focuses on hard tissues, recent non-invasive imaging techniques offer the potential to comprehensively evaluate three-dimensional (3D) facial soft tissues. The aim of the study was to establish the geometrical 3D and cephalometric divergence between Cone Beam Computed Tomography (CBCT) derived images and scanned soft tissues. Crucial for enhancing orthodontic diagnosis, minimizing patient exposure to ionizing radiation and providing facial cephalometric parameters. A cross-sectional study was conducted from January 2020 to May 2023. CBCT and 3D facial scans were obtained simultaneously using a specialized imaging system. Reproducible landmark points were selected for both cephalometric and soft tissue analysis. Angular and linear measurements were recorded, and correlations between CT and facial scans were statistically assessed. Comparisons between 10 CBCT-derived and 10 facial scan-based soft tissue representations resulted into 1.8 mm mean root median square (RMS). Angular measurements, such as ANB, right gonial angle, and left gonial angle, exhibited a 0.9° of difference with their respective soft tissue variables. In contrast, linear measurements of total anterior facial height showed a lower correlation coefficient, equal to 0.51. The correlation between soft tissues and underlying hard tissues was more pronounced for gonial angles. Facial soft tissue analysis using either 3D facial scans or CBCT-derived offers similar results for orthodontic diagnosis and treatment planning. These findings support the use of non-invasive diagnostic tools in orthodontics, although further investigations are needed to comprehensively understand the complexity of hard and soft tissue relationships.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
CY完成签到,获得积分10
刚刚
UGO发布了新的文献求助10
刚刚
刚刚
韩小寒qqq完成签到,获得积分10
1秒前
鳗鱼皮带发布了新的文献求助10
1秒前
1秒前
纪秋发布了新的文献求助10
1秒前
叶知秋完成签到,获得积分10
2秒前
liujian发布了新的文献求助20
3秒前
77发布了新的文献求助10
3秒前
Jasper应助Adelinelili采纳,获得10
4秒前
充电宝应助小周采纳,获得10
5秒前
yanyy完成签到,获得积分10
5秒前
xksy完成签到,获得积分10
5秒前
甜甜语堂发布了新的文献求助10
5秒前
标致的泥猴桃完成签到,获得积分10
6秒前
满意大门完成签到,获得积分10
6秒前
今后应助苏格拉丁采纳,获得10
6秒前
谨慎鞅完成签到,获得积分10
7秒前
8秒前
zzpp发布了新的文献求助10
9秒前
9秒前
9秒前
77完成签到,获得积分10
10秒前
听云完成签到,获得积分10
10秒前
Animagus完成签到,获得积分10
10秒前
云开完成签到,获得积分20
11秒前
自然的剑封完成签到,获得积分10
11秒前
苏逸完成签到,获得积分20
11秒前
雅米完成签到,获得积分10
12秒前
冷静战斗机完成签到,获得积分10
12秒前
Hello应助甜甜语堂采纳,获得10
12秒前
东方元语应助缥缈的冷雪采纳,获得20
13秒前
sygclever完成签到,获得积分10
13秒前
liujian发布了新的文献求助30
14秒前
星辰大海应助爱笑的静丹采纳,获得10
15秒前
科研通AI6.1应助苏逸采纳,获得10
15秒前
15秒前
俭朴的花卷完成签到,获得积分10
15秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Developing Genetic Editing Tools for Lysobacter 2000
卤化钙钛矿人工突触的研究 2000
Моделирование процессов самоорганизации в кристаллообразующих системах 1000
History of U.S. Space Surveillance and Satellite Cataloging 1000
Adhesion Science: Principles & Practice 800
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6520287
求助须知:如何正确求助?哪些是违规求助? 8313288
关于积分的说明 17780155
捐赠科研通 5622418
什么是DOI,文献DOI怎么找? 2927083
邀请新用户注册赠送积分活动 1903985
关于科研通互助平台的介绍 1764368