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New methodology for diagnosis of orthopedic diseases through additive manufacturing models
- Source :
- Symmetry, Vol 11, Iss 4, p 542 (2019), Symmetry, Volume 11, Issue 4
- Publication Year :
- 2019
-
Abstract
- 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.
- Subjects :
- medicine.medical_specialty
3D-printing
Physics and Astronomy (miscellaneous)
diagnosis
Computer science
General Mathematics
Anatomical structures
3D printing
Computed tomography
01 natural sciences
03 medical and health sciences
0302 clinical medicine
Software
Bone model
CAT scan
0103 physical sciences
Computer Science (miscellaneous)
medicine
Additive manufacturing-modeling
Valuation (algebra)
030222 orthopedics
Manufacturing technology
medicine.diagnostic_test
010308 nuclear & particles physics
business.industry
lcsh:Mathematics
Orthopedic
lcsh:QA1-939
Reliability engineering
Chemistry (miscellaneous)
Orthopedic surgery
orthopedics
Surgery
business
Diagnosi
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Symmetry, Vol 11, Iss 4, p 542 (2019), Symmetry, Volume 11, Issue 4
- Accession number :
- edsair.doi.dedup.....680f7bb1ca1e005f823ea3e225b0e4d2