ArticleJournal of Taibah University Medical Sciences2022
The accuracy and reliability of WebCeph for cephalometric analysis.
Article in Journal of Taibah University Medical Sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed.
- Agreement Between WebCeph and Manual Cephalometric Analysis: Cleft and Non-Cleft Patients Comparison: A Retrospective Method-Comparison Study.Health science reports · 2026Article
- Agreement of WebCeph-Based Automated and Expert-Adjusted Cephalometric Analyses with Manual and Dolphin Tracings.Diagnostics (Basel, Switzerland) · 2026Article
- Evaluation of artificial intelligence-based cephalometric analysis compared to the manual method.Progress in orthodontics · 2026Article
- Evaluation of Accuracy and Reproducibility of an AI-Based Cephalometric Landmark Detection Software: A Comparative Study with Manual Annotations.Journal of clinical and experimental dentistry · 2026Review
- Reliability of Automated Cephalometric Analysis: A Comparative Assessment of Stratification Strategies Based on Chronological Age Versus Dentition Stage.Dentistry journal · 2026Article
- Evaluation of cephalometric landmarks using artificial intelligence compared to the manual method.Head & face medicine · 2026Article
- FDA-Approved AI Solutions in Dental Imaging: A Narrative Review of Applications, Evidence, and Outlook.International dental journal · 2026Review
- Pediatric validation of an AI-assisted smartphone application (WebCeph) for cephalometric analysis: reliability, reproducibility and time-efficiency assessment.Dental press journal of orthodontics · 2026Article
- An Open-Source, AI-Supported Teaching Tool in Orthodontic Education-Assessment of Acceptance and Effectiveness.Journal of dental education · 2025Article
- Quantitative Evaluation of Skeletal, Dental, and Soft Tissue Changes After Orthognathic Surgery: A Cephalometric and Statistical Analysis.Journal of clinical medicine · 2025Article
- Populational influence on cephalometric landmark identification: performance of two AI-driven software programs in Brazilian and Korean images.BMC oral health · 2025Article
- Evaluation of artificial intelligence-based cephalometric tracing versus semi-automatic and manual tracing.BMC oral health · 2025Article
- Chin soft tissue thickness and mandibular divergency: a cross-sectional study.European journal of medical research · 2025Article
- The effect of adenoid hypertrophy on growth-development level and dental maturation: a 15-year retrospective radiographs study.BMC oral health · 2025Article
- Influence of head positioning errors on the accuracy of fully automated artificial intelligence-based cephalometric software.The Angle orthodontist · 2025Article
- Innovative Aesthetic and Functional Orthodontic Planning with Hard and Soft Tissue Analyses.Journal of clinical medicine · 2025Article
- Correlation Between the Initial Severity of Oral Clefts at Birth in Patients With Complete Unilateral Cleft Lip and Palate and Craniofacial Morphology, Dental Arch Relationship, and Nasolabial Aesthetics During Pre-Adolescence.Orthodontics & craniofacial research · 2025Article
- Assessment of the quality of different commercial providers using artificial intelligence for automated cephalometric analysis compared to human orthodontic experts.Journal of orofacial orthopedics = Fortschritte der Kieferorthopadie : Organ/official journal Deutsche Gesellschaft fur Kieferorthopadie · 2025Article
- Associations of Digital Measurements: Analysis of Orthopantomography Versus Lateral Cephalograms for Evaluation of Facial Asymmetry.Journal of clinical medicine · 2025Article
- McNamara analysis comparison between Indigenous and Chinese ethnic with skeletal class I malocclusion in Medan.Journal of orthodontic science · 2025Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThis study compares the accuracy and reliability of WebCeph (web-based program for cephalometric analysis) with the AutoCAD computer software. MATERIALS AND
methodsA sample of pretreatment digital lateral cephalograms of 50 orthodontic patients was analysed with WebCeph and AutoCAD software (as a standard measure). On each cephalogram, 17 landmarks and 11 measurements were marked and performed as skeletal, dental, and soft-tissue parameters. We used six angular and five linear measurements. A paired t-test was used to assess the systematic bias. The intraclass correlation coefficient (ICC) and Bland-Altman plot with linear regression analysis were used to assess the agreement between the two methods.
resultsThere was adequate reproducibility for the measurements with both WebCeph and AutoCAD. The paired t-test showed statistically significant differences for five angular and two linear measurements (P < 0.05). The ICC test between WebCeph and AutoCAD revealed very good to excellent agreement for all measurements, except for the lower incisor to mandibular plane angle. The Bland-Altman plot visually showed a relatively acceptable limit of agreement for three angular and two linear measurements only, and the linear regression analysis revealed a significant proportional bias between the two methods for four angles and the upper lip-Esthetic line (U Lip-E Line). The systematic bias and level of agreement improved with the use of the semi-automatic WebCeph.
conclusionsDifferent problems, such as poor landmark identification/soft tissue tracing and inconsistency of measurements, are inherent to the automatic WebCeph. The semi-automatic WebCeph can overcome some limitations of the automatic WebCeph; however, it should be used for cephalometric analysis with a great deal of caution.
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