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Computer-aided designed 3D-printed polymeric scaffolds for personalized reconstruction of maxillary and mandibular defects: a proof-of-concept study.

Davide MattavelliVincenzo VerzelettiAlberto DeganelloAntonio FiorentinoTommaso GualtieriMarco FerrariStefano TaboniWilliam AnfusoMarco RavanelliVittorio RampinelliAlberto GrammaticaBarbara BuffoliRoberto MaroldiCeretti ElisabettaRita RezzaniPiero NicolaiCesare Piazza
Published in: European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery (2024)
Our reconstructive algorithm was feasible and reproducible in a preclinical setting. Functional and aesthetic outcomes were satisfactory independently of the complexity of the defect.
Keyphrases
  • cone beam computed tomography
  • drug delivery
  • machine learning
  • deep learning
  • tissue engineering
  • drug release
  • cell therapy
  • type diabetes
  • patient satisfaction
  • glycemic control
  • mesenchymal stem cells