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Ease of use of digital impression systems for dentists of different ages

Ease of use and adaptability of clinicians of different generations to different intraoral digital impression systems

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ISRCTN
Registry ID
ISRCTN59180426
Enrollment
12
Registered
2018-02-27
Start date
2017-12-01
Completion date
Unknown
Last updated
2022-01-24

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

Conditions

Intraoral digital impression - dentistry Oral Health

Interventions

The study is held in 2 centers (Geneva school of dentistry and University Complutense Madrid). In each center, 6 dentists of 3 age categories will be recruited: Category A: dentists a

Sponsors

University of Geneva
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. =22 years of age 2. Capable of providing written informed consent 3. Obtained informed consent from the patient 4. Intra-oral health 5. Patients with adequate oral hygiene Plaque Index <20%, BoP < 20% 6. Occlusal stability (fully dentate or partially edentulous: no more than 1 tooth missing per quadrant)

Exclusion criteria

Exclusion criteria: 1. Medical condition: ASA -score = III 2. History of radiotherapy in the head and neck region 3. History of bisphosphonate medication 4. Women of childbearing potential with a positive urine pregnancy test 5. Patients unwilling or incapable of understanding and signing the informed consent 6. Dental disease: active caries or periodontal inflammation

Design outcomes

Primary

MeasureTime frame
Time needed to complete an intraoral digital impression, measured in minutes and seconds using a stopwatch, for the first impression (baseline impression) and the final impression done after two training sessions

Secondary

MeasureTime frame
Quality of the digital impressions compared to the initial plaster models, measured quantitatively by calculating using Geomagic X software: 1. Percentage of completeness of region of interest of digital model 2. Cumulative noise and errors of region of interest of digital model

Countries

Spain, Switzerland

Outcome results

None listed

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