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RECRUITING
NCT07775365

AI-Based Prediction of Root Coverage Outcome From Intraoral Photographs

Sponsor: Marmara University

View on ClinicalTrials.gov

Summary

This study evaluates whether the outcome of root coverage surgery can be predicted from a preoperative intraoral photograph. Adults with Cairo RT1,RT2 or RT3 gingival recessions treated with a coronally advanced flap and a connective tissue graft are followed for six months. Standardised photographs and clinical measurements are obtained before surgery and at each follow-up visit. A deep learning model is developed to predict the surgical outcome from the preoperative photograph and baseline clinical variables, and its performance is compared with the outcome measured clinically at six months. The model does not influence treatment decisions.

Official title: Development and Internal Validation of a Deep Learning Model Predicting the Outcome of Root Coverage Surgery From Preoperative Intraoral Photographs: A Prospective Observational Cohort Study

Key Details

Gender

All

Age Range

18 Years - 65 Years

Study Type

OBSERVATIONAL

Enrollment

36

Start Date

2025-09-17

Completion Date

2027-09-17

Last Updated

2026-08-20

Healthy Volunteers

Yes

Interventions

PROCEDURE

Coronally advanced flap with subepithelial connective tissue graft

A coronally advanced flap is raised over the recession defect and a subepithelial connective tissue graft harvested from the palate is positioned beneath it, after which the flap is sutured coronal to the cemento-enamel junction. Graft thickness, length and width are recorded for each treated site. The procedure was performed as routine clinical care and was not assigned for research purposes.

DIAGNOSTIC_TEST

Deep learning based prediction of root coverage outcome

Preoperative intraoral photographs and baseline clinical variables are analysed by a deep learning model that predicts the outcome of root coverage surgery. The model output is not used in clinical decision making and does not influence treatment; it is compared retrospectively with the outcome measured by the treating periodontist at six months. The same photographs are also used to assign the recession type automatically, which is compared with the clinical assignment.

Locations (1)

Marmara University Faculty of Dentistry Department of Periodontology

Istanbul, Istanbul, Turkey (Türkiye)