Periodontal Disease Prediction System
- Conditions
- Periodontal Diseases
- Interventions
- Diagnostic Test: Clinical examination
- Registration Number
- NCT05809570
- Lead Sponsor
- Bezmialem Vakif University
- 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.
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 1057
- 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.
- Patients undergoing orthodontic treatment and using anti-inflammatory drugs were excluded.
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Arm && Interventions
Group Intervention Description Periodontal examination Clinical examination Cross- sectional clinical periodontal examinations and measurements were performed using a Williams periodontal probe
- Primary Outcome Measures
Name Time Method Number of sites Clinical Attachment Loss≥5 mm Baseline Categorized as: None, \<4, 4-8, \>8
- Secondary Outcome Measures
Name Time Method Presence of endodontic tooth problem Baseline Categorized as: Presence/absence
Patient cooperation and awareness Baseline Categorized as: None, some, high
Interproximal cleaning Baseline Categorized as: None/ 1 time in day/ ≥2 times in day
Alveolar bone loss/age Baseline Categorized as: None/ \<0.25 /0.25-1/ \>1
Tooth mobility Baseline Categorized as: None/ Miller I/ Miller II/ Miller III
Presence of diabetes Baseline Categorized as: Absence, diabetes with HbA1c\<7, diabetes with HbA1c≥7
Gingival phenotype Baseline Categorized as: Thin/thick
Vertical alveolar bone loss Baseline Categorized as: Presence/absence
Restorations including gingival margin Baseline Categorized as: Presence/absence
History of dental treatment Baseline Categorized as: None, treated in the last 1 year
Tooth brushing Habits Baseline Categorized as: None/ 1 time in day/ ≥2 times in day
Number of sites Probing Pocket Depth ≥5 mm Baseline Categorized as: None/ \<4 / 4-8/ \>8
Number of sites Bleeding on Probing (%) Baseline Categorized as: \<10%/ 10-25%/ \>25%
Traumatic occlusion Baseline Categorized as: Presence/absence
Smoking status Baseline Categorized as: None, \< 10 per day, ≥10 per day
Presence of furcation involvement Baseline Categorized as: None/ horizontal involvement/ vertical involvement/ combined
Number of tooth loss Baseline Categorized as: None/ \<4/ 4-8/ \>8
Trial Locations
- Locations (1)
Bezmialem Vakif University
🇹🇷Istanbul, Turkey