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,N Cenzato,Roberta Crispino,Francesco Carlo Tartaglia,Roberto Biagi,Benedetta Baldini,Cinzia Maspero
出处
期刊:International Orthodontics [Elsevier]
卷期号:22 (2): 100845-100845 被引量:2
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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
刚刚
感谢科研菜牙转发科研通微信,获得积分50
1秒前
Hermit_han发布了新的文献求助10
1秒前
3秒前
春池嫣韵发布了新的文献求助10
3秒前
owoow完成签到,获得积分20
4秒前
斯文败类应助nicole采纳,获得10
4秒前
稳稳完成签到,获得积分10
4秒前
小二郎应助芬芬采纳,获得10
4秒前
showmaker发布了新的文献求助20
5秒前
5秒前
NexusExplorer应助cmc12314采纳,获得10
5秒前
欢喜灵13完成签到,获得积分10
5秒前
owoow发布了新的文献求助10
6秒前
炝拌维C发布了新的文献求助10
7秒前
8秒前
8秒前
9秒前
10秒前
钦川发布了新的文献求助10
10秒前
夜王发布了新的文献求助10
10秒前
GTRK完成签到 ,获得积分10
10秒前
有Data发Paper完成签到 ,获得积分10
10秒前
李燕飞发布了新的文献求助10
11秒前
薛定谔的狗完成签到,获得积分10
11秒前
11秒前
12秒前
爆米花应助hahaha123213123采纳,获得10
13秒前
春池嫣韵完成签到,获得积分10
13秒前
静水流深发布了新的文献求助10
13秒前
科研通AI2S应助keykey采纳,获得10
14秒前
云端发布了新的文献求助10
15秒前
清晨一颗薄荷糖完成签到,获得积分20
15秒前
petrichor发布了新的文献求助10
15秒前
方半仙完成签到,获得积分10
16秒前
16秒前
独特乘云发布了新的文献求助10
17秒前
陶醉听芹完成签到,获得积分10
17秒前
无花果应助wqw采纳,获得10
18秒前
高分求助中
Sustainability in Tides Chemistry 2000
Bayesian Models of Cognition:Reverse Engineering the Mind 888
Essentials of thematic analysis 700
A Dissection Guide & Atlas to the Rabbit 600
Very-high-order BVD Schemes Using β-variable THINC Method 568
Mantiden: Faszinierende Lauerjäger Faszinierende Lauerjäger 500
PraxisRatgeber: Mantiden: Faszinierende Lauerjäger 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3125118
求助须知:如何正确求助?哪些是违规求助? 2775421
关于积分的说明 7726646
捐赠科研通 2430997
什么是DOI,文献DOI怎么找? 1291569
科研通“疑难数据库(出版商)”最低求助积分说明 622188
版权声明 600352