Periodontal Disease Prediction System

NCT ID: NCT05809570

Last Updated: 2023-04-14

Basic Information

• Recruitment Status: COMPLETED
• Total Enrollment: 1057 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2020-06-01
• Study Completion Date: 2022-06-01

Brief Summary

The purpose of this study was to develop a periodontal disease prediction software and a patient-based gingival recession simulator for clinical practice aiming at improving oral hygiene motivation of patients with periodontal problems.

Detailed Description

Periodontal Disease Prediction (PDP) software has three components: a) Data Loading Window (DLW) b) Three-Dimensional Mouth Model (3DM) and c) Periodontal Attachment Loss Indicator (PLI). Demographic and clinical examinations of 1057 volunteers were recorded to DLW. An unsupervised machine learning K means clustering analysis was used to categorize the data obtained from the study population and identified the periodontal risk groups. An intraoral scanner was utilized to capture direct optical intraoral data of a patient and transferred to the 3DM. The intraoral model went under two algorithm steps for obtaining a recessed model. First, gingival curves separating gingiva and tooth were extracted using a Dijkstra's algorithm. Limit curves determining boundaries of recessed regions in the intraoral model were then obtained using gingival curves. The gingival recession was then mimicked by losing gingiva and disappearing tooth roots at proper locations in the intraoral model and Additionally, the final four different 3 dimensional recessed model (maxilla, mandibula, anterior teeth and posterior teeth) belonging to the same patient were scored based on the similarity to the real gingival recession by 25 periodontology specialist via online survey.

Conditions

Periodontal Diseases

Study Design

• Observational Model Type: COHORT
• Study Time Perspective: CROSS_SECTIONAL

Study Groups

Periodontal examination

Cross- sectional clinical periodontal examinations and measurements were performed using a Williams periodontal probe

Clinical examination

Intervention Type: DIAGNOSTIC_TEST

A total of 1057 individuals who applied to Bolu Abant İzzet Baysal University, Faculty of Dentistry, Department of Periodontology and agreed to participate in the study were clinically and radiologically examined.

An intraoral scanner was utilized to capture direct optical intraoral data of a patient.

Interventions

Clinical examination

A total of 1057 individuals who applied to Bolu Abant İzzet Baysal University, Faculty of Dentistry, Department of Periodontology and agreed to participate in the study were clinically and radiologically examined.

An intraoral scanner was utilized to capture direct optical intraoral data of a patient.

Intervention Type: DIAGNOSTIC_TEST

Eligibility Criteria

Inclusion Criteria

• Age greater than 18 years,
• Periodontal status ranging from no clinical periodontal disease (<10% with bleeding on probing) to periodontitis (stage I to IV)
• Patients having at least one teeth in each quadrant were included.

Exclusion Criteria

• Patients undergoing orthodontic treatment and using anti-inflammatory drugs were excluded.

• Minimum Eligible Age: 18 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: Yes

Sponsors

Abant Izzet Baysal University

OTHER

Sponsor Role: collaborator

Istanbul Technical University

OTHER

Sponsor Role: collaborator

The Scientific and Technological Research Council of Turkey

OTHER

Sponsor Role: collaborator

Bezmialem Vakif University

OTHER

Sponsor Role: lead

Responsible Party

Şadiye GÜNPINAR

Principal Investigator

Responsibility Role: PRINCIPAL_INVESTIGATOR

Principal Investigators

Şadiye Günpınar, Assoc. Prof

Role: PRINCIPAL_INVESTIGATOR

Bezmialem Vakif University

Locations

Bezmialem Vakif University

Istanbul, , Turkey (Türkiye)

Countries

Turkey (Türkiye)

Other Identifiers

119S025

Identifier Type: -

Identifier Source: org_study_id