An explorative study to develop a predictive model based on avascular exposed root surface area for root coverage...

Area of Science:

• Periodontology
• Dental Research

Background:

• Gingival recessions (GRs) present a common clinical challenge.
• Accurate prognosis of root coverage outcomes is crucial for treatment planning.

Purpose of the Study:

• To assess the reliability of avascular exposed root surface area (AERSA) as a prognostic indicator for gingival recessions (GRs).
• To compare the predictive value of AERSA and Miller classification for root coverage outcomes.

Main Methods:

• Ninety-one patients with single GRs (Miller Class I, II, III) on incisors and canines were treated using a laterally positioned flap.
• Clinical parameters, including AERSA, were recorded at baseline.
• Correlation analysis was performed between baseline parameters and complete root coverage (CRC) at 6 months.

Main Results:

• AERSA demonstrated the highest sensitivity and specificity in predicting CRC compared to other clinical parameters.
• Receiver operating characteristic curve analysis identified optimal AERSA cutoff points for predicting CRC.
• AERSA-based models explained 86% of the variance in mean root coverage.

Conclusions:

• Avascular exposed root surface area (AERSA) is a reliable metric for classifying gingival recession defects.
• A novel prognostic model utilizing AERSA can effectively predict final root coverage outcomes.