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NCT04845581

Comparison of the Effectiveness of the USG and CBCT Combined With Intraoral Scanning Determing the Gingival Phenotype in the Healthy Periodontium

Completed Last updated 15 April 2021
What this trial tests

trial testing Diagnostic tests: Determination of the gingival phenotype, measure gingival thickness and width of keratinized tissue in Periodontal Diseases in 30 participants. Completed in 2 August 2019.

Timeline
11 October 2018
Primary endpoint
20 July 2019
2 August 2019

Quick facts

Lead sponsorWroclaw Medical University
StatusCompleted
Study typeOBSERVATIONAL
Enrollment30
Start date11 October 2018
Primary completion20 July 2019
Estimated completion2 August 2019
Sites1 location across Poland

Drugs / interventions tested

Conditions studied

Sponsor

Wroclaw Medical University

Who can join

Adults 24 to 54, any sex, with Periodontal Diseases. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

Compare two diagnostic methods: UGTM and CBCT/CAD/PDIP in determing the gingival phenotype in group of 30 periodontally healthy patients. Both methods were useful to establishing the gingival phenotype, however, ultrasonic method was more precisely for measurement of gingival thickness. There was positive correlation between the mean values of SGT and WKT and this indicates the need to measure these parameters in order to determine gingival phenotype.

Publications & conference data

No peer-reviewed publications indexed yet for this trial. Completed trials usually publish results within 12-18 months.

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Other recruiting trials for Periodontal Diseases

Currently open trials in the same condition.

Other Wroclaw Medical University trials

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/NCT04845581.

Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing