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Related Experiment Video

Updated: Mar 29, 2026

Quantitative Assessment Protocol for Facial Soft Tissue Volumetric Changes with Stereophotogrammetry
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Is Three-Dimensional Soft Tissue Prediction by Software Accurate?

Ki-Uk Nam1, Jongrak Hong

  • 1Department of Oral and Maxillofacial Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.

The Journal of Craniofacial Surgery
|November 24, 2015
PubMed
Summary

Virtual surgery software shows inaccuracies in predicting soft tissue movement after orthognathic surgery. Improvements are needed for precise simulation of craniofacial soft tissue landmarks.

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Area of Science:

  • Oral and Maxillofacial Surgery
  • Medical Imaging
  • Computational Biology

Background:

  • Virtual surgical planning is increasingly used in orthognathic surgery.
  • Accurate prediction of soft tissue changes is crucial for patient outcomes.

Purpose of the Study:

  • To evaluate the accuracy of a soft tissue prediction program in simulating actual surgical outcomes.
  • To identify areas of significant deviation between predicted and actual soft tissue positions.

Main Methods:

  • Analysis of preoperative and postoperative computed tomography (CT) data from 29 orthognathic surgery patients.
  • Utilizing Simplant Pro software for virtual surgical simulation and soft tissue prediction.
  • Superimposition and comparative analysis of predicted versus actual postoperative soft tissue images.

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Main Results:

  • Significant prediction errors were observed at key facial landmarks, including mouth corners, labrale inferius, and pogonion.
  • Vector analysis indicated a tendency for predicted points to be located more left, superior, and anterior than actual positions.
  • Anterior-posterior predictions demonstrated the highest degree of inaccuracy, particularly for craniofacial landmarks like the pronasale.

Conclusions:

  • Current virtual surgery software requires enhancement to improve prediction accuracy for soft tissue movement.
  • The software shows potential for predicting craniofacial soft tissue landmarks but needs refinement.
  • Addressing anterior-posterior prediction inaccuracies is essential for clinical utility.