Title |
3D Printed replica of articular fractures for surgical planning and patient consent: a two years multi-centric experience
|
---|---|
Published in |
3D Printing in Medicine, December 2016
|
DOI | 10.1186/s41205-016-0006-8 |
Pubmed ID | |
Authors |
Nicola Bizzotto, Ivan Tami, Attilio Santucci, Roberto Adani, Paolo Poggi, Denis Romani, Guilherme Carpeggiani, Filippo Ferraro, Sandro Festa, Bruno Magnan |
Abstract |
CT scanning with 3D reconstructed images are currently used to study articular fractures in orthopedic and trauma surgery. A 3D-Printer creates solid objects, starting from a 3D Computer representation. We report from two year of multicenter experience in 3D printing of articular fractures. During the study period, 102 patients (distal radius fractures, radial head, tibial plateau, astragalus, calcaneus, ankle, humeral head and glenoid) underwent 3D printing. The medical models were used by surgeons to appreciate the dislocation of fragments and the yielding of the articular surface. In addition, models were showed to patient as part of the acquisition of the informed consent before surgery. 3D printing of articular fractures are innovative procedures that achieve a preoperative tangible, highly useful evaluation of the fractures to plan intervention and educate patients. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 14% |
Germany | 1 | 14% |
Spain | 1 | 14% |
Italy | 1 | 14% |
Unknown | 3 | 43% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 71% |
Science communicators (journalists, bloggers, editors) | 1 | 14% |
Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 62 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 10 | 16% |
Student > Master | 8 | 13% |
Researcher | 6 | 10% |
Student > Bachelor | 6 | 10% |
Other | 3 | 5% |
Other | 12 | 19% |
Unknown | 17 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 28 | 45% |
Engineering | 7 | 11% |
Agricultural and Biological Sciences | 2 | 3% |
Business, Management and Accounting | 1 | 2% |
Physics and Astronomy | 1 | 2% |
Other | 3 | 5% |
Unknown | 20 | 32% |