New methodology for diagnosis of orthopedic diseases through additive manufacturing models

Leonardo Frizziero, Alfredo Liverani, Giampiero Donnici, Francesco Osti, Marco Neri, Elena Maredi, Giovanni Trisolino, Stefano Stilli

Research output: Contribution to journalArticlepeer-review


Our purpose is to develop the preoperative diagnosis stage for orthopedic surgical treatments using additive manufacturing technology. Our methods involve fast implementations of an additive manufactured bone model, converted from CAT data, through appropriate software use. Then, additive manufacturing of the formed surfaces through special 3D-printers. With the structural model redesigned and printed in three dimensions, the surgeon is able to look at the printed bone and he can handle it because the model perfectly reproduces the real one upon which he will operate. We found that additive manufacturing models can precisely characterize the anatomical structures of fractures or lesions. The studied practice helps the surgeon to provide a complete preoperative valuation and a correct surgery, with minimized duration and risks. This structural model is also an effective device for communication between doctor and patient.

Original languageEnglish
Article number542
Pages (from-to)1-27
Number of pages27
Issue number4
Publication statusPublished - Apr 1 2019


  • 3D-printing
  • Additive manufacturing-modeling
  • CAT scan
  • Diagnosis
  • Orthopedics
  • Surgery

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Chemistry (miscellaneous)
  • Mathematics(all)
  • Physics and Astronomy (miscellaneous)


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