Intraoral Scanners as Periodontal and Dental Pathologies Diagnosis Tools

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Clinical Phase

NA

Total Enrollment

30 participants

Study Classification

INTERVENTIONAL

Study Start Date

2022-05-11

Study Completion Date

2026-12-11

Brief Summary

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Periodontal diseases and dental pathologies are highly prevalent oral diseases. Thirty-three to fifty percent of adult population presented at least one untreated caries and more than 50% of French population are affected by severe periodontitis. These diseases affect dental organ or periodontal attached system but could have negative impact on general health, quality of life, word and individual well-being. Association between chronic diseases as diabetes, rheumatoid arthritis, cardiovascular diseases, and oral health have been well investigated. Dental and periodontal diagnosis is dependent of various clinical parameters time consuming and dependent operator. It represents a public health challenge. Informatic analysis detecting diseases could be a time gain and a more precise diagnosis tool. Today, any software or algorithm allow automatized detection, clinical qualitative or quantitative indices recording while these informations are present in numeric models

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Detailed Description

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The present study explores the effectiveness of intraoral scanners in the field of dental caries and periodontal diseases diagnosis Patients presenting at least on recession are recruited without randomization. A clinical examination is performed, and a 3D impression of their mouth is obtained by intraoral scanners.

The investigators hypothesized that the 3D intra oral representations could improve oral diagnosis in patients compared to clinical examination in term of time consummation and precision. In a first time, this could be achieved by the comparison of the recession measurement obtained by a clinical measure (Ramfjord, 1959) or obtained by artificial intelligence.

The secondary objectives are :

* To compare clinical and numerical dento-prosthetic diagram
* To compare clinical and numerical plaque control record index (O'Leary et al., 1973)
* To compare clinical and numerical Decayed, Missed and Filled Teeth index (Klein and Palmer, 1940)
* To compare clinical and numerical detection of mucosal lesions

Conditions

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Periodontitis Gingivitis Dental Caries Diagnosis

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

Primary Study Purpose

PREVENTION

Blinding Strategy

NONE

Study Groups

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Patients

Group Type EXPERIMENTAL

Numerical dental impression by intraoral scanner

Intervention Type OTHER

Intervention consists in an 3D intra oral representation of the oral cavity

Interventions

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Numerical dental impression by intraoral scanner

Intervention consists in an 3D intra oral representation of the oral cavity

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* adultes
* consulting the Dental Care Service of the university hospital of Reims
* presenting at least one gingival recession
* presenting at least 10 pairs of opposing teeth
* speaking French
* who signed the informed consent form
* affiliated to the French Social Security system

Exclusion Criteria

Patients presenting :

* pregnancy or breastfeeding
* orthodontic treatments
* patients under legal protection, trusteeship or guardianship
* unable to understand auto-questionnary

Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes