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A more accurate method of predicting soft tissue changes after mandibular setback surgery.

Hee-Yeon Suh¹, Shin-Jae Lee, Yun-Sik Lee

¹Department of Orthodontics, Seoul National University School of Dentistry and Dental Research Institute, Seoul, Korea.

Journal of Oral and Maxillofacial Surgery : Official Journal of the American Association of Oral and Maxillofacial Surgeons

|September 20, 2012

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Predicting soft tissue changes after mandibular setback surgery is improved using the partial least-squares (PLS) method over ordinary least-squares (OLS). The PLS method offers better accuracy for orthognathic surgery outcomes.

Area of Science:

Orthognathic Surgery
Craniofacial Surgery
Surgical Outcomes Prediction

Background:

Accurate prediction of soft tissue changes is crucial for successful orthognathic surgery outcomes.
Class III mandibular prognathism correction often involves mandibular setback surgery.
Existing prediction methods may lack sufficient accuracy for clinical application.

Purpose of the Study:

To introduce and evaluate a more accurate method for predicting soft tissue profile changes following orthognathic surgery.
To compare the predictive performance of partial least-squares (PLS) against ordinary least-squares (OLS) methods.

Main Methods:

A cohort of 69 patients undergoing mandibular setback for Class III prognathism was studied.
Two multivariate prediction methods, ordinary least-squares (OLS) and partial least-squares (PLS), were applied using 134 predictors and 36 soft tissue variables.

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A 10-fold cross-validation was employed to assess predictive performance, including bias and mean absolute prediction error.

Main Results:

The partial least-squares (PLS) method demonstrated significantly superior predictive performance compared to the ordinary least-squares (OLS) method.
PLS resulted in a more favorable bias pattern and significantly better absolute prediction accuracy.
The PLS method proved more effective in predicting soft tissue profile alterations.

Conclusions:

The multivariate partial least-squares (PLS) method is a more satisfactory approach for predicting soft tissue changes after Class III mandibular setback surgery.
PLS offers enhanced accuracy over conventional OLS methods in orthognathic surgery outcome prediction.
This improved prediction capability can aid in surgical planning and patient counseling.