3D Soft-Tissue Prediction Methodologies for Orthognathic Surgery—A Literature Review

• Main Authors: Elena Carlotta Olivetti, Sara Nicotera, Federica Marcolin, Enrico Vezzetti, Jacqueline P. A. Sotong, Emanuele Zavattero, Guglielmo Ramieri
• Format: Article
• Language: English
• Published: MDPI AG 2019-10-01
• Series: Applied Sciences
• Subjects: orthognathic surgery; 3d face analysis; surgical planning; soft tissue prediction; prediction methods
• Online Access: https://www.mdpi.com/2076-3417/9/21/4550

Three-dimensional technologies have had a wide diffusion in several fields of application throughout the last decades; medicine is no exception and the interest in their introduction in clinical applications has grown with the refinement of such technologies. We focus on the application of 3D methodologies in maxillofacial surgery, where they can give concrete support in surgical planning and in the prediction of involuntary facial soft-tissue changes after planned bony repositioning. The purpose of this literature review is to offer a panorama of the existing prediction methods and software with a comparison of their reliability and to propose a series of still pending issues. Various software are available for surgical planning and for the prediction of tissue displacements, but their reliability is still an unknown variable in respect of the accuracy needed by surgeons. Maxilim, Dolphin and other common planning software provide a realistic result, but with some inaccuracies in specific areas of the face; it also is not totally clear how the prediction is obtained by the software and what is the theoretical model they are based on.