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

计算机科学 软件 手术计划 软组织 正颌外科 可靠性(半导体) 展开图 医学 口腔正畸科 外科 人工智能 量子力学 物理 功率(物理) 程序设计语言
作者
Elena Carlotta Olivetti,Sara Nicotera,Federica Marcolin,Enrico Vezzetti,Jacqueline P. A. Sotong,Emanuele Zavattero,Guglielmo Ramieri
出处
期刊:Applied sciences [Multidisciplinary Digital Publishing Institute]
卷期号:9 (21): 4550-4550 被引量:37
标识
DOI:10.3390/app9214550
摘要

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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