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Predetermination of root coverage.

Giovanni Zucchelli1, Monica Mele, Martina Stefanini

  • 1Department of Periodontology, School of Dentistry, University of Bologna, Bologna, Italy. giovanni.zucchelli@unibo.it

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Summary
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A new method accurately predicts the maximum root coverage (MRC) level achievable with periodontal surgery. This predictability is crucial for successful root coverage procedures, ensuring favorable clinical and esthetic outcomes.

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Area of Science:

  • Periodontal surgery
  • Gingival recession treatment
  • Predictive modeling in dentistry

Background:

  • A novel method for predicting maximum root coverage (MRC) levels via surgery was recently introduced.
  • This study validates the predictability of this method by comparing predicted MRC with surgically achieved root coverage.

Purpose of the Study:

  • To evaluate the predictability of a new method for determining the maximum root coverage (MRC) level before periodontal surgery.
  • To compare predetermined MRC with actual root coverage outcomes after surgical intervention.

Main Methods:

  • 50 patients with 135 gingival recessions (Miller Class I-III) were enrolled.
  • Maximum root coverage (MRC) was predetermined by assessing interdental papilla height.
  • Root coverage was achieved using coronally advanced flap (CAF) or subepithelial connective tissue graft (SCTG) procedures.
  • Measurements were taken 7 days pre-surgery and 15, 30, 90 days post-surgery.

Main Results:

  • The predetermined MRC coincided with the actual gingival margin position in 71.8% of cases.
  • No significant differences were observed based on jaw location or surgical technique (CAF vs. SCTG) for exact predictions.
  • Underestimation of MRC occurred in 10.3% and overestimation in 17.7% of cases.
  • Underestimation was more frequent with SCTG compared to CAF (P <0.01).

Conclusions:

  • The method effectively predicted soft tissue margin position 90 days post-surgery.
  • Underestimated root coverage levels were considered clinically and esthetically successful.
  • The predictability of the method supports its clinical utility in planning root coverage procedures.