Artificial intelligence of computerized tomography image reconstruction by beam and magnetic resonance with the use of the invesalius 3 software In the 3-d printing of bucomaxillofacial prosthesis in oral cancer surgery

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International Journal of Development Research

Volume: 
12
Article ID: 
25286
4 pages
Research Article

Artificial intelligence of computerized tomography image reconstruction by beam and magnetic resonance with the use of the invesalius 3 software In the 3-d printing of bucomaxillofacial prosthesis in oral cancer surgery

Douglas Silva Barros; Roberto Bezerra da Silva; Eliane Cristina Viana Revoredo; Donato da Silva Braz Júnior; Andréa Karla Soares Montenegro; João Alberto Soares Bezerra and Myllena Beatriz Moura de Lira Lima

Abstract: 

Introduction: Ghost Cell Odontogenic Carcinoma is extremely rare, the etiology is unknown, and its diagnosis is only possible when the resected specimen is examined histologically. Radiographically, this Carcinoma is seen as a unicameral or multilocular radiolucent image without clear boundaries and is associated with varying degrees of bone destruction and infiltration into adjacent structures. Methodology: this is an integrative review, through bibliographic searches in the Pubmed, Scielo and Google Academic databases, based on articles published between 2017 and 2022, in English and Portuguese languages, where articles prior to 2017, that were unrelated to the theme, repeated and in other languages were excluded. Results: Facing the inclusion and exclusion criteria, 5903 articles were found, of these, 5883 were excluded after analysis and 20 selected to base the review. Discussion: The three-dimensional model is valuable for surgical planning and outcome prediction. InVesalius is an open source Software that allows 3-D reconstruction of human body structures and includes measurement volume of lesions. Conclusion: Invesalius offers valuable potential for low-cost virtual analysis that plays an important role in diagnosis as an intraoperative guide before surgeries.

DOI: 
https://doi.org/10.37118/ijdr.25286.09.2022
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