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3D Soft-Tissue Prediction Methodologies for Orthognathic Surgery—A Literature Review
- Source :
- Applied Sciences, Vol 9, Iss 21, p 4550 (2019)
- Publication Year :
- 2019
- Publisher :
- mdpi, 2019.
-
Abstract
- 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.
- Subjects :
- Panorama
Computer science
medicine.medical_treatment
Orthognathic surgery
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Surgical planning
lcsh:Technology
surgical planning
lcsh:Chemistry
03 medical and health sciences
0302 clinical medicine
Software
Prediction methods
soft tissue prediction
medicine
prediction methods
General Materials Science
Instrumentation
lcsh:QH301-705.5
Reliability (statistics)
Fluid Flow and Transfer Processes
business.industry
lcsh:T
Process Chemistry and Technology
orthognathic surgery
General Engineering
030206 dentistry
lcsh:QC1-999
Computer Science Applications
Variable (computer science)
Risk analysis (engineering)
lcsh:Biology (General)
lcsh:QD1-999
lcsh:TA1-2040
030220 oncology & carcinogenesis
3d face analysis
business
lcsh:Engineering (General). Civil engineering (General)
lcsh:Physics
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Applied Sciences, Vol 9, Iss 21, p 4550 (2019)
- Accession number :
- edsair.doi.dedup.....84f7ce60cec48f3e4c11c09b2c22b36c