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NCT07295964

Accuracy of Intraoral Scan Post-processing Methods: A Clinical Trial

Not yet recruiting NA Last updated 22 December 2025
What this trial tests

NA trial testing Artificial intelligence driven registration in Restoration Design in 30 participants. Not yet recruiting.

Timeline
25 January 2026
Primary endpoint
25 December 2026
25 June 2027

Quick facts

Lead sponsorNational and Kapodistrian University of Athens
PhaseNA
StatusNot yet recruiting
Study typeINTERVENTIONAL
Allocationrandomized
Designsingle group
Maskingquadruple
Primary purposetreatment
Enrollment30
Start date25 January 2026
Primary completion25 December 2026
Estimated completion25 June 2027
Sites1 location across Greece

Drugs / interventions tested

Conditions studied

Sponsor

National and Kapodistrian University of Athens

Who can join

18 and older, any sex, with Restoration Design or Digital Occlusal Collision. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

In the last decade, progressive developments in computer hardware, software, manufacturing technologies, and dental materials consistently enhanced the use of digital technologies in dentistry. Traditional prosthodontic techniques have relied on manual fabrication processes, which often resulted in challenges such as suboptimal prosthesis fit, compromised occlusal stability, and limited customization options. However, the advent of 3D printing technology has revolutionized the field, offering new possibilities for patient-specific prosthodontic rehabilitation. An accurate maxillomandibular relationship between the maxillary and mandibular casts is fundamental to prosthodontic practice. In the integration of intraoral scanners (IOSs) for different dental interventions, the accuracy of the digitizing methods recording the maxillomandibular relationship is similarly essential. The maxillomandibular relationship accuracy recorded by using IOSs has been analyzed in various in vitro and clinical studies. Intraoral digital scans are recorded in an unload condition, with the mouth open, while acquiring the maxillary and the mandibular intraoral scans. This condition changes when capturing the virtual occlusal records at maximum intercuspation position (MIP). Occlusal collisions are caused by the tooth location discrepancy resulting from the periodontal ligament plasticity between the recording of the intraoral digital scans and the virtual occlusal records, as well as from the intraoral scanning distortion and alignment procedures. Artificial intelligence driven program software and occlusal collisions or mesh interpenetrations tools have been proposed to improve the maxillomandibular relationship of the scanned models. The software programs of the IOSs can automatically eliminate the occlusal collisions present in virtual articulated casts. Similarly, dental computer-aided design (CAD) programs can automatically detect and eliminate occlusal collisions among the articulated intraoral digital scans imported. However, the effect of the occlusal collision corrections performed by using IOSs or CAD programs on the occlusal adjustment of the restorations is unknown.

Publications & conference data

No peer-reviewed publications indexed yet for this trial.

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Trials by the same sponsor.

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Data sources for this page

Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT07295964.

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