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

Elena Carlotta OlivettiDepartment of Management and Production Engineering, Politecnico di Torino, corso Duca degli Abruzzi 24, 10129 Torino, ItalySara NicoteraDepartment of Management and Production Engineering, Politecnico di Torino, corso Duca degli Abruzzi 24, 10129 Torino, ItalyFederica MarcolinDepartment of Management and Production Engineering, Politecnico di Torino, corso Duca degli Abruzzi 24, 10129 Torino, ItalyEnrico VezzettiDepartment of Management and Production Engineering, Politecnico di Torino, corso Duca degli Abruzzi 24, 10129 Torino, ItalyJacqueline P. A. SotongDepartment of Maxillofacial unit, Città della Salute e della Scienza HOSPITAL, 10129 Torino, ItalyEmanuele ZavatteroDepartment of Maxillofacial unit, Città della Salute e della Scienza HOSPITAL, 10129 Torino, ItalyGuglielmo RamieriDepartment of Maxillofacial unit, Città della Salute e della Scienza HOSPITAL, 10129 Torino, Italy
2019en
ABI

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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.

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