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Recruiting NCT07664488

NCT07664488 Comparison of Digital Analysis and Artificial Intelligence for Cephalometric Tracing

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Clinical Trial Summary
NCT ID NCT07664488
Status Recruiting
Phase
Sponsor University of Pavia
Condition Cephalometric Analysis
Study Type OBSERVATIONAL
Enrollment 100 participants
Start Date 2026-06-01
Primary Completion 2026-09-30

Eligibility & Interventions

Sex All sexes
Min Age N/A
Max Age N/A
Study Type OBSERVATIONAL
Interventions
Cephalometric Analysis

Eligibility Fast-Check

Enter your details for a quick preliminary check. This does not replace medical advice.

What to Expect as a Participant

This is an observational study. You will not receive an experimental treatment; researchers will collect data based on your existing condition or standard treatment.

This trial targets 100 participants in total. It began in 2026-06-01 with a primary completion date of 2026-09-30.

⚠ This information is for research awareness only. Always consult your physician before joining any clinical trial. Participation is voluntary and you may withdraw at any time.

Brief Summary

This study aims to evaluate the accuracy and reliability of artificial intelligence (AI)-based cephalometric analysis compared with digital manual tracing. A total of 100 standardized lateral cephalometric radiographs will be analyzed using Delta-Dent software with manual landmark identification and three fully automated AI-based systems (WebCeph, QuantX, and Smartee). Sagittal, vertical, dental, and soft tissue cephalometric parameters will be compared among the different methods. Statistical analysis will assess inter-method agreement and the clinical relevance of any observed discrepancies. The study seeks to determine whether AI-based systems provide measurements comparable to conventional digital tracing and whether they can be considered reliable adjunctive tools in orthodontic diagnosis and treatment planning.

Eligibility 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

Contact & Investigator

Central Contact

Andrea Scribante, DDS, PhD

✉ andrea.scribante@unipv.it

📞 +39 0382516223

Frequently Asked Questions

Who can join the NCT07664488 clinical trial?

This trial is open to participants of all sexes, studying Cephalometric Analysis. Full inclusion and exclusion criteria are listed in the Eligibility Criteria section. Always confirm your eligibility with the research team before applying.

Is NCT07664488 currently recruiting?

Yes, NCT07664488 is actively recruiting participants. Contact the research team at andrea.scribante@unipv.it for enrollment information.

Where is the NCT07664488 trial being conducted?

This trial is being conducted at Pavia, Italy.

Who is sponsoring the NCT07664488 clinical trial?

NCT07664488 is sponsored by University of Pavia. The trial plans to enroll 100 participants.

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ClinicalMetric — Independent clinical trial intelligence platform. Not affiliated with NIH, ClinicalTrials.gov, the U.S. FDA, or any pharmaceutical company, hospital, or clinical research organization. Trial data is sourced from ClinicalTrials.gov for informational purposes only and does not constitute medical advice. Do not make any treatment, enrollment, or health decisions based solely on information found here — always consult a qualified healthcare professional. Full Disclaimer  ·  Last Reviewed: September 2026  ·  Data Methodology