Clinical trial Recruiting at 1 site Observational

Does AI-based cephalometric tracing match digital manual tracing for orthodontic measurements?

Official title: Cephalometric Tracing: A Comparison Between Digital Analysis and Artificial Intelligence

Run by University of Pavia · NCT07664488 · Data updated 2026-11-12

This study tests whether AI-powered cephalometric analysis can produce measurements similar to traditional digital tracing in 100 patient radiographs.

Quick facts

Study typeObservational
SexAll
Enrollment100 (estimated)
SponsorUniversity of Pavia
Academic / other
Locations1 site (Pavia, Italy)
StatusRecruiting
StartedJune 1, 2026
Main results expectedSeptember 30, 2026
Study endsSeptember 30, 2026
Registry record updatedJune 24, 2026
Trial IDNCT07664488 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Patients with available high-quality digital lateral cephalometric radiographs taken for orthodontic diagnostic purposes, with no craniofacial anomalies and no prior orthodontic or orthognathic treatment.

Probably not a fit

Patients whose radiographs are of insufficient quality, show artifacts, or have conditions preventing reliable landmark identification may not benefit from AI-based methods.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational study compares AI-based cephalometric analysis with manual digital tracing to determine accuracy and reproducibility. It analyzes 100 standardized lateral cephalometric radiographs using manual landmarking in Delta-Dent and three automated AI systems (WebCeph, QuantX, Smartee) without landmark adjustments. Ten cephalometric parameters across sagittal, vertical, dental, and soft tissue relationships will be evaluated for agreement with manual tracing, using intra-rater reliability and statistical analyses to assess clinical relevance. The reference method is manual tracing performed by a single experienced orthodontist. Data will be retrospective, drawn from records at the University of Pavia, with appropriate consent.

Why it matters

Potential benefit: If successful, AI-based tracing could speed up analysis and provide reliable adjuncts to support orthodontic diagnosis and treatment planning.

How similar studies have gone: Prior work suggests AI can approach manual tracing accuracy in cephalometrics, but results vary by system and parameter; this study adds direct comparison across three AI tools.

Who can join: the full rules

Show full inclusion / exclusion criteria
Inclusion Criteria:

* Availability of digital lateral cephalometric radiographs of adequate diagnostic quality
* Radiographs acquired with patients in centric occlusion and proper head positioning using a cephalostat
* Patients of any age and sex
* Absence of congenital or acquired craniofacial anomalies
* No previous orthodontic treatment
* No previous orthognathic surgical treatment
* Absence of agenesis of incisors or first molars
* Absence of supernumerary teeth overlapping the region of interest

Exclusion Criteria:

* Radiographs presenting artifacts or inadequate visualization of anatomical structures
* History of significant craniofacial trauma
* Radiographs acquired without a cephalostat
* Presence of severe skeletal asymmetries
* Incomplete clinical or radiographic records
* Radiographs unsuitable for manual or AI-based cephalometric landmark identification

Where it's running

  • Unit of Orthodontics and Pediatric Dentistry - Section of Dentistry - Department of Clinical, Surgical, Diagnostic and Pediatrics - University of Pavia, Pavia, Lombardy 27100
    Pavia, Italy, Italy
    Recruiting

Study contacts

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How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.