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324064

Comparison between Manual Lateral Cephalometric Analysis and Artificial Intelligence Driven Platforms

Article

Last updated: 28 Dec 2024

Subjects

-

Tags

Orthodontics and Pedodontics

Abstract

Introduction: It remains uncertain whether artificial intelligence based programs can detect cephalometric landmarks with accuracy. Therefore, the aim of this prospective study was to compare cephalometric measurements obtained with manual tracing and artificial intelligence programs. An additional goal was to evaluate the difference in cephalometric tracing duration.
Materials and methods: Fifty pretreatment lateral cephalometric radiographs with complete permanent dentition were included in this study. Poor quality radiographs, irregular shaped incisors roots, craniofacial deformity and/or impacted teeth were excluded. Each lateral cephalogram was traced and analysed using manual method, WebCeph and Cephio programs. After completion of landmark plotting, linear and angular measurements of Steiner's analysis were calculated.
Results: The results indicated the presence of no statistically significant differences between the three methods. SNA, SNB and ANB angles had a relatively higher values with WebCeph compared to Cephio and manual cephalometric analysis. On the other hand, mandibular plane angle and occlusal plane angle were higher with Cephio when compared to WebCeph and manual methods. The duration taken for cephalometric measuremens showed statistically significant difference between manual cephalometric analysis and AI based programs with WebCeph presenting the least duration and manual method showing highest duration.
Conclusion: The cephalometric measurements obtained from both WebCeph and Cephio programs are highly accurate when compared to manual measurements. Cephalometric measurements done using WebCeph and Cephio are formulated in a significantly shorter time in comparison to manual method.

DOI

10.21608/asdj.2022.171778.1152

Keywords

Cephalometric analysis, WebCeph, Cephio, artificial intelligence

Authors

First Name

Hatem

Last Name

Saifeldin

MiddleName

-

Affiliation

Orthodontic Department, Faculty of Dentistry, Ain Shams University

Email

hatemsaifeldin@dent.asu.edu.eg

City

-

Orcid

0000-0002-3542-4570

Volume

29

Article Issue

1

Related Issue

44171

Issue Date

2023-03-01

Receive Date

2022-11-12

Publish Date

2023-03-01

Page Start

1

Page End

5

Print ISSN

1110-7642

Online ISSN

2735-5039

Link

https://asdj.journals.ekb.eg/article_324064.html

Detail API

https://asdj.journals.ekb.eg/service?article_code=324064

Order

3

Type

Original articles

Type Code

1,638

Publication Type

Journal

Publication Title

Ain Shams Dental Journal

Publication Link

https://asdj.journals.ekb.eg/

MainTitle

Comparison between Manual Lateral Cephalometric Analysis and Artificial Intelligence Driven Platforms

Details

Type

Article

Created At

28 Dec 2024