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Verification of the reproducibility of linear (and volumetric) measurements on digital models to measure non-carious tooth structure loss due to bruxism and to examine the width of the keratinized gingiva and recessions using digital impressions (double scans)

Verification of the reproducibility of linear (and volumetric) measurements on digital models to measure non-carious tooth structure loss due to bruxism and to examine the width of the keratinized gingiva and recessions using digital impressions (double scans)

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
DRKS
Registry ID
DRKS00023185
Enrollment
20
Registered
2021-05-03
Start date
2021-04-30
Completion date
Unknown
Last updated
2025-04-07

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

K07.6 F45.8

Interventions

Group 1: Two upper jaw and two lower jaw impressions are taken from 20 patients using the Shape Trios intraoral scanner. On the resulting digital models differences between the models are measured at

Sponsors

BwZKrhs Abteilung XXIII Zahnmedizin
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 65 Years

Inclusion criteria

Inclusion criteria: Enough/suffizient remaining teeth - presence of teeth 13,16,21,24,33,36,41,44 (ISO/FDI System ) or rather 3,6,9,12,19,22,25,28 (UNS)

Exclusion criteria

Exclusion criteria: Dysgnathia, severe tooth misalignment Diet and disease-related erosions, Missing teeth up to and including the 1st molar (Already previously severely altered soft tissue, loss of attachment due to nutrition and disease)

Design outcomes

Primary

MeasureTime frame
Verification of the reproducibility of linear (and volumetric) measurements on digital models for the measurement of tooth wear due to bruxism (and to examine the width of the keratinized gingiva and recessions) using digital impressions - Can linear measurements be reproduced on digital models that were taken at two different times with an oral scanner?

Secondary

MeasureTime frame
Recognition of a measurement method which is the most suitable for the reproducibility of linear (and volumetric) measurements on digital models.

Countries

Germany

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Feb 4, 2026