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
吴旭东完成签到,获得积分10
1秒前
我是老大应助cyh采纳,获得10
1秒前
fffffffffllllll完成签到,获得积分10
1秒前
wenllian完成签到,获得积分10
4秒前
4秒前
积极的亦云完成签到,获得积分10
4秒前
Sunny发布了新的文献求助30
4秒前
Penn完成签到,获得积分10
4秒前
meng完成签到,获得积分10
5秒前
6秒前
6秒前
糖豆完成签到,获得积分20
7秒前
litongkk完成签到 ,获得积分10
7秒前
7秒前
鱼鱼完成签到,获得积分10
8秒前
钟小先生完成签到 ,获得积分10
8秒前
9秒前
11秒前
毅可爱发布了新的文献求助10
13秒前
14秒前
15秒前
小马甲应助rrw采纳,获得10
16秒前
张渝蒙发布了新的文献求助10
16秒前
17秒前
han完成签到,获得积分10
17秒前
表里醉发布了新的文献求助10
19秒前
20秒前
月亮完成签到,获得积分10
20秒前
perfect完成签到 ,获得积分10
20秒前
21秒前
小二郎应助123采纳,获得10
21秒前
随缘完成签到 ,获得积分10
22秒前
大个应助chc采纳,获得10
23秒前
Lucky发布了新的文献求助10
24秒前
美好黑猫完成签到 ,获得积分10
24秒前
毅可爱完成签到,获得积分10
25秒前
25秒前
叮当猫完成签到,获得积分10
25秒前
molihuakai应助zychaos采纳,获得10
28秒前
鲜于诗霜完成签到,获得积分10
30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
Cronologia da história de Macau 5000
Petrology and Plate Tectonics 800
Electrode Potentials 550
Matrix Methods in Data Mining and Pattern Recognition 510
Trees of tropical Asia : an illustrated guide to diversity 500
Materials Informatics Molecules, Crystals and Beyond A volume in Acta Materialia Book Series 400
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7046478
求助须知:如何正确求助?哪些是违规求助? 8712476
关于积分的说明 18448269
捐赠科研通 6560769
什么是DOI,文献DOI怎么找? 3118630
关于科研通互助平台的介绍 2204604
邀请新用户注册赠送积分活动 2094005