AI-Based Prediction of Root Coverage Outcome From Intraoral Photographs
2026年8月16日 更新者：Marmara University
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
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.
調査の概要
状態
募集
条件
詳細な説明
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.
研究の種類
観察的
入学 (推定)
36
連絡先と場所
このセクションには、調査を実施する担当者の連絡先の詳細と、この調査が実施されている場所に関する情報が記載されています。
研究連絡先
- 名前：Muhammed F Dogan, Resident
- 電話番号：+905433890065
- メール：mfurkandogaan@gmail.com
研究場所
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Istanbul
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Istanbul、Istanbul、トルコ（Türkiye）、34854
- 募集
- Marmara University Faculty of Dentistry Department of Periodontology
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コンタクト：
- Muhammed F Dogan, Resident
- 電話番号：+905433890065
- メール：mfurkandogaan@gmail.com
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-
参加基準
研究者は、適格基準と呼ばれる特定の説明に適合する人を探します。これらの基準のいくつかの例は、人の一般的な健康状態または以前の治療です。
適格基準
就学可能な年齢
- 大人
- 高齢者
健康ボランティアの受け入れ
はい
サンプリング方法
非確率サンプル
調査対象母集団
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.
説明
Inclusion Criteria:
- Systemically healthy patients (ASA I or II status) with no contraindications 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:
- 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.
研究計画
このセクションでは、研究がどのように設計され、研究が何を測定しているかなど、研究計画の詳細を提供します。
研究はどのように設計されていますか？
デザインの詳細
コホートと介入
グループ/コホート |
介入・治療 |
|---|---|
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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.
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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.
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.
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この研究は何を測定していますか？
主要な結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
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Accuracy of the model in predicting root coverage at six months
時間枠：6 months
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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.
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6 months
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二次結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
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Sensitivity and specificity of the model at the selected decision threshold
時間枠：6 months
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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.
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6 months
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その他の成果指標
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
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Calibration of the model
時間枠：6 months
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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.
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6 months
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Agreement between the model-assigned and the clinician-assigned recession type
時間枠：Baseline
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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.
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Baseline
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協力者と研究者
ここでは、この調査に関係する人々や組織を見つけることができます。
スポンサー
捜査官
- 主任研究者：Leyla Kuru, Professor、Marmara University Faculty of Dentistry Department of Periodontology
研究記録日
これらの日付は、ClinicalTrials.gov への研究記録と要約結果の提出の進捗状況を追跡します。研究記録と報告された結果は、国立医学図書館 (NLM) によって審査され、公開 Web サイトに掲載される前に、特定の品質管理基準を満たしていることが確認されます。
主要日程の研究
研究開始 (実際)
2025年9月17日
一次修了 (推定)
2026年9月17日
研究の完了 (推定)
2027年9月17日
試験登録日
最初に提出
2026年8月16日
QC基準を満たした最初の提出物
2026年8月16日
最初の投稿 (実際)
2026年8月20日
学習記録の更新
投稿された最後の更新 (実際)
2026年8月20日
QC基準を満たした最後の更新が送信されました
2026年8月16日
最終確認日
2026年8月1日
詳しくは
この情報は、Web サイト clinicaltrials.gov から変更なしで直接取得したものです。研究の詳細を変更、削除、または更新するリクエストがある場合は、register@clinicaltrials.gov。 までご連絡ください。 clinicaltrials.gov に変更が加えられるとすぐに、ウェブサイトでも自動的に更新されます。