ClinicalTrials.gg
RecruitingNCT07775365Updated Aug 20, 2026

AI-Based Prediction of Root Coverage Outcome From Intraoral Photographs

An observational study in Gingival Recessions, sponsored by Marmara University. Recruiting at 1 site in Turkey (Türkiye). Open to participants aged 18 Years to 65 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-08-20.

Sponsored by Marmara University · Observational

From the registry’s dates

  • Started Sep 2025; still recruiting 1 year 1 month later.
Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
36
Ages
18 Years to 65 Years
Sex
All
01

Where this study stands

Counted across the records on this site · 2026-11-12

Among 69 studies in Gingival Recession with a site in Turkey — 14 open to participants now, 15 under way, none of them phase 3. Gingival Recession · Turkey.

Planned enrollment
10th of 13
36 · median 80
Started
2025
with 9 others
Observational
13 of 69
2 open now
Primary completion
2026-09
later than 10 of 14 live
Registered
67th of 69
by date

Among the 69 studies in Gingival Recession with a site in Turkey, this one is the 10th largest by planned enrollment of the 13 observational ones, is one of 10 that started in 2025, is one of 13 observational ones, reaches primary completion later than 10 of the 14 other live ones, and was the 67th registered.

By phase

69 studies; the count open now beside each. This study's row is marked.

No phase52 · 12 open
Observationalthis study13 · 2 open
Phase 11 · 0 open
Phase 1/21 · 0 open
Phase 21 · 0 open
Phase 31 · 0 open

By the year they started

First in 2010; this study’s year is marked. 10 started in 2025.

Size and results

Median enrollment 36 across the 56 interventional studies, 80 across the 13 observational. Of the 52 that completed or were terminated, 0 (0%) have results posted.

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Watch this landscapeDownload CSVWith an account: a weekly mail of what changed among 69 studies in Gingival Recession with a site in Turkey, or all of them as a file.
02

Study 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.

Read the detailed description

Whether an exposed root surface can be completely covered is the central question in planning mucogingival surgery. The Cairo classification is the current diagnostic standard for that judgement, but assignment of the recession type varies between examiners and prediction of the individual surgical outcome remains largely subjective. In this cohort, consecutive systemically healthy adults with Cairo RT1,RT2 or RT3 gingival recessions are treated by a single operator with a coronally advanced flap combined with a subepithelial connective tissue graft. Recession depth, keratinised tissue width and gingival thickness are recorded at baseline and at three and six months.

Standardised intraoral photographs are obtained at each time point under fixed conditions. A deep learning model is developed to predict the six-month outcome from the preoperative photograph together with baseline clinical variables. Model performance is assessed by discrimination, calibration and prediction error, using the clinical measurement at six months as the reference standard. A secondary analysis examines whether the recession type assigned automatically from the photograph agrees with the type assigned by the examining periodontist. The model is developed and validated internally within this cohort; no external validation set is available. Its output is not shown to the operator and does not influence treatment. Reporting follows the TRIPOD recommendations for prediction model studies.

03

Conditions studied

  • Gingival Recessions

Browse trials for

Keywords

  • Gingival Recession
  • Artificial Intelligence
  • Image Analysis
  • Deep Learning
  • prognostic model
04

Who can participate

Ages eligible
18 Years to 65 Years
Sexes eligible
All
Accepts healthy volunteers
Yes
Sampling method
Non-probability sample

Study population

The study population consists of systemically healthy adult patients (aged 18-65) presenting to the Department of Periodontology at Marmara University with esthetic concerns or dentin hypersensitivity associated with gingival recession. The cohort includes individuals diagnosed with Cairo Class RT1 or RT2 (Miller Class I or II) gingival recession defects who are scheduled to undergo mucogingival root coverage surgery.

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Systemically healthy patients ( status) with no for periodontal surgery.
  • Adult patients aged 18 to 65 years.
  • Presence of isolated or multiple gingival recessions classified as Cairo RT1, RT2 or RT3 in the maxilla or mandible.
  • Patients with good oral hygiene standards, defined as a Full Mouth Plaque Score (FMPS) and Full Mouth Bleeding Score (FMBS) of \< 20% at baseline.
  • Presence of an identifiable Cemento-Enamel Junction (CEJ) (Crucial for AI segmentation).

Exclusion criteria

Exclusion Criteria:

  • Patients with uncontrolled diabetes, immune system disorders, or pregnant/lactating women.
  • Teeth with cervical restorations or abrasions that obscure the CEJ.
  • Malpositioned or rotated teeth that would distort the photographic angle for AI analysis.
Terms in these criteria, in plain language(2)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

ASA physical status

The anaesthetists’ scale of health before surgery: I is healthy, II has a mild illness that is under control, III a severe one, IV a severe illness that is a constant threat to life. V and VI are used for the critically ill and for organ donors.

Contraindication

A reason a treatment, test or procedure should not be given to a particular person, such as an allergy, another illness or a medicine they take.

05

Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
36 participants (estimated)
Target follow-up
6 Months
Patient registry
Yes

Groups and cohorts

  • Root coverage surgery cohort

    Systemically healthy adults aged 18 to 65 years with Cairo RT1,RT2 pr RT3 gingival recessions, treated with a coronally advanced flap combined with a subepithelial connective tissue graft by a single operator and followed for six months. All participants received the same surgical technique; no comparison group was formed and no participant was assigned to a treatment for the purposes of this study. Standardised intraoral photographs and clinical measurements were obtained before surgery and at three and six months.

    Procedure: Coronally advanced flap with subepithelial connective tissue graft · Diagnostic Test: Deep learning based prediction of root coverage outcome

Interventions

  • ProcedureCoronally 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 testDeep 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.

06

What researchers measure

Primary outcomes

  1. Accuracy of the model in predicting root coverage at six months

    Difference between the root coverage predicted by a model based on preoperative intraoral photographs and baseline clinical characteristics, and the root coverage observed at six months. Root coverage is expressed as the percentage of the baseline recession depth that is covered, calculated as \[(baseline recession depth - six-month recession depth) / baseline recession depth\] × 100, from probing measurements made by the treating periodontist from the cemento-enamel junction to the gingival margin. Predictive accuracy is summarised as the mean absolute error in percentage points across all treated sites.

    Time frame: 6 months

Secondary outcomes

  1. Sensitivity and specificity of the model at the selected decision threshold

    Proportion of sites correctly identified by the model among those that achieved the outcome (sensitivity) and among those that did not (specificity), evaluated at the operating point selected on the receiver operating characteristic curve. Both proportions are reported with 95% confidence intervals. The reference standard is the clinical measurement made at six months by the treating periodontist, using a periodontal probe from the cemento-enamel junction to the gingival margin.

    Time frame: 6 months

Other outcomes

  1. Calibration of the model

    Agreement between the probability predicted by the model and the frequency observed in the cohort, assessed by the calibration slope and intercept and displayed as a calibration plot. Discrimination indicates whether the model ranks sites correctly; calibration indicates whether the predicted probabilities are numerically correct, and the two are reported separately because a model may rank well while producing miscalibrated probabilities. The reference standard is the clinical measurement made at six months.

    Time frame: 6 months

  2. Agreement between the model-assigned and the clinician-assigned recession type

    Proportion of treated sites at which the recession type assigned by the model from the preoperative photograph matches the type assigned by the examining periodontist, reported together with quadratic weighted kappa. The reference standard is the clinical assignment recorded at baseline according to the criteria of Cairo et al.

    Time frame: Baseline

07

Study locations

1 of 1 sites recruiting
08

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reached

Started Sep 2025 (actual). Primary completion is estimated for Sep 2026, 12 months after the start.

How these figures are worked out, and which studies are left out of them.

Registered
Aug 16, 2026
First posted
Aug 20, 2026
StartActual
Sep 17, 2025
Primary completionEst.
Sep 17, 2026
CompletionEst.
Sep 17, 2027
Last update
Aug 20, 2026
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Aug 20, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
09

Registry details

Key details

Study ID
NCT07775365
Lead sponsor
Marmara University
Responsible party
Sponsor
First posted
Aug 20, 2026
Start date
Sep 17, 2025
Primary completion
Sep 17, 2026 (estimated)
Completion
Sep 17, 2027 (estimated)
Last update
Aug 20, 2026

Study contacts

Muhammed F Dogan, Resident
Contact
mfurkandogaan@gmail.com
+905433890065
Leyla Kuru, Professor
principal investigator · Marmara University Faculty of Dentistry Department of Periodontology

Oversight

FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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