Automatic planning of paediatric craniofacial deformities: new virtual facial-symmetry operative detection

Authors

  • Giuditta Mannelli Head and Neck Oncology and Robotic Surgery, Department of Experimental and Clinical Medicine, University of Florence, Italy https://orcid.org/0000-0001-7079-3964
  • Antonio Marzola Department of Industrial Engineering, University of Florence. Via Santa Marta 3, 50139, Florence, Italy
  • Francesco Buonamici Department of Industrial Engineering, University of Florence. Via Santa Marta 3, 50139, Florence, Italy
  • Yari Volpe Department of Industrial Engineering, University of Florence. Via Santa Marta 3, 50139, Florence, Italy
  • Francesca Uccheddu Department of Industrial Engineering, University of Florence. Via Santa Marta 3, 50139, Florence, Italy
  • Giuseppe Spinelli Department of Maxillo Facial Surgery, Azienda Ospedaliero-Universitaria Careggi, Largo Palagi 1, 50134, Florence, Italy

DOI:

https://doi.org/10.46831/jpas.v1i2.55

Abstract

Background: The correction of craniofacial deformities is an ongoing challenge in maxillofacial surgery. However, conventional measurement methods for treatment planning are not appropriate for craniofacial surgery. Computer-assisted approaches can improve surgical outcomes. A new, non-invasive, patient-specific automatic method, proposed here, has been tested for assisting the surgeon in preoperative planning.

Case Presentation: In the case reported, the described method allows effective surgery planning that led to a significant decrease in asymmetries in the orbital region.

Conclusion: The multidisciplinary collaborative approach is a central element for the construction of effective personalized procedures and for the conception of new surgical approaches. The here proposed technology offers a good level of feasibility and has an achievable potential for breakthroughs in the improvement of facial deformities surgical treatment, thus representing an overwhelmingly useful tool in a clinical setting.

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Author Biographies

Giuditta Mannelli, Head and Neck Oncology and Robotic Surgery, Department of Experimental and Clinical Medicine, University of Florence, Italy

Head and Neck Oncology and Robotic Surgery, Department of Experimental and Clinical Medicine, University of Florence, Italy

Antonio Marzola, Department of Industrial Engineering, University of Florence. Via Santa Marta 3, 50139, Florence, Italy

Department of Industrial Engineering, University of Florence. Via Santa Marta 3, 50139, Florence, Italy

Francesco Buonamici, Department of Industrial Engineering, University of Florence. Via Santa Marta 3, 50139, Florence, Italy

Department of Industrial Engineering, University of Florence. Via Santa Marta 3, 50139, Florence, Italy

Yari Volpe, Department of Industrial Engineering, University of Florence. Via Santa Marta 3, 50139, Florence, Italy

Department of Industrial Engineering, University of Florence. Via Santa Marta 3, 50139, Florence, Italy

Francesca Uccheddu, Department of Industrial Engineering, University of Florence. Via Santa Marta 3, 50139, Florence, Italy

Department of Industrial Engineering, University of Florence. Via Santa Marta 3, 50139, Florence, Italy

Giuseppe Spinelli, Department of Maxillo Facial Surgery, Azienda Ospedaliero-Universitaria Careggi, Largo Palagi 1, 50134, Florence, Italy

Department of Maxillo Facial Surgery, Azienda Ospedaliero-Universitaria Careggi, Largo Palagi 1, 50134, Florence, Italy

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Published

2021-03-31

How to Cite

1.
Mannelli G, Marzola A, Buonamici F, Volpe Y, Uccheddu F, Spinelli G. Automatic planning of paediatric craniofacial deformities: new virtual facial-symmetry operative detection. J Pediatr Adolesc Surg [Internet]. 2021Mar.31 [cited 2021Oct.19];1(2):120-3. Available from: http://jpedas.org/ojs/index.php/jpedas/article/view/jpas-55
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