3D Printed Models and Navigation for Skull Base Surgery: Case Report and Virtual Validation.
In recent years, computer-assisted surgery tools have become more versatile. Having access to a 3D printed model expands the possibility for surgeons to practice with the particular anatomy of a patient before surgery and improve their skills. Optical navigation is capable of guiding a surgeon according to a previously defined plan. These methods improve accuracy and safety at the moment of executing the operation. We intend to carry on a validation process for computed-assisted tools. The aim of this project is to propose a comparative validation method to enable physicians to evaluate differences between a virtual planned approach trajectory and a real executed course. Summarily, this project is focused on decoding data in order to obtain numerical values so as to establish the quality of surgical procedures.
Virtual Planning and Navigation Unit, Department of Health Informatics, Hospital Italiano de Buenos Aires, Argentina.
Lucas E
LE
Ritacco
ENT department, Hospital Italiano de Buenos Aires, Argentina.
Federico
F
Di Lella
Virtual Planning and Navigation Unit, Department of Health Informatics, Hospital Italiano de Buenos Aires, Argentina.
Axel
A
Mancino
Virtual Planning and Navigation Unit, Department of Health Informatics, Hospital Italiano de Buenos Aires, Argentina.
Fernan
F
Gonzalez Bernaldo de Quiros
ENT department, Hospital Italiano de Buenos Aires, Argentina.
Carlos
C
Boccio
Virtual Planning and Navigation Unit, Department of Health Informatics, Hospital Italiano de Buenos Aires, Argentina.
Federico E
FE
Milano
D004867:Equipment Design; D019544:Equipment Failure Analysis; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods; D008953:Models, Anatomic; D019635:Neurosurgical Procedures / Q000295:instrumentation* / Q000379:methods; D066330:Printing, Three-Dimensional; D019291:Skull Base / Q000033:anatomy & histology* / Q000601:surgery*; D025321:Surgery, Computer-Assisted / Q000295:instrumentation / Q000379:methods; D014057:Tomography, X-Ray Computed / Q000379:methods*