Reference number : GC-2017-Q1-00250, amendment number : , agreement type : G, recipient legal name : Ladak, Hanif (The University of Western Ontario), recipient country : CA, recipient province : nan, recipient city : Ontario, recipient postal code : nan, program name english : Collaborative Health Research Projects, program name french : Projets de recherche concertée sur la santé, program purpose english : Mastoidectomy is a complex surgical procedure in which portions of the skull are drilled away_x000D_
to treat ear infections, to place cochlear implants and to remove tumours. Hundreds of_x000D_
thousands of mastoidectomies are performed worldwide each year with surgical complication_x000D_
rates as high as 20%. Surgical mistakes are disastrous and include facial nerve paralysis,_x000D_
hearing loss, tinnitus, vertigo and altered taste. Significant training is required to master the_x000D_
procedure. However, training is hampered by a shortage of cadaveric materials. To provide_x000D_
an alternative training approach, we have developed a virtual-reality simulator that allows the_x000D_
user to operate on a single 3D digital head model. Practice on a single model does not_x000D_
prepare trainees for the large variability in patient anatomy, but creating additional models is_x000D_
difficult. Moreover, careful evaluation of the simulator is required for acceptance._x000D_
Our objectives are to (1) develop software to automatically construct digital models from_x000D_
patient images, (2) implement automated performance assessment methods, and (3)_x000D_
evaluate skill development and transfer from the virtual environment to realistic settings._x000D_
We will develop software to automatically warp a template digital anatomical model to match_x000D_
a specific patient image, thus generating models for new patients. We will implement_x000D_
software that automates evaluation of each trainees performance when operating on virtual_x000D_
head models. The software will be based on well validated metrics that are used in current_x000D_
practice by instructors. To evaluate skill development and transfer, an expert panel of_x000D_
Otolaryngologists will evaluate trainees on cadaveric skulls before and after training using the_x000D_
simulator._x000D_
The simulator will result in increased and improved training opportunities on a wide variety of_x000D_
patient types. Moreover, it will allow rehearsal on a digital model prior to surgery on a specific_x000D_
anatomy, leading to improved surgical performance., program purpose french : Mastoidectomy is a complex surgical procedure in which portions of the skull are drilled away_x000D_
to treat ear infections, to place cochlear implants and to remove tumours. Hundreds of_x000D_
thousands of mastoidectomies are performed worldwide each year with surgical complication_x000D_
rates as high as 20%. Surgical mistakes are disastrous and include facial nerve paralysis,_x000D_
hearing loss, tinnitus, vertigo and altered taste. Significant training is required to master the_x000D_
procedure. However, training is hampered by a shortage of cadaveric materials. To provide_x000D_
an alternative training approach, we have developed a virtual-reality simulator that allows the_x000D_
user to operate on a single 3D digital head model. Practice on a single model does not_x000D_
prepare trainees for the large variability in patient anatomy, but creating additional models is_x000D_
difficult. Moreover, careful evaluation of the simulator is required for acceptance._x000D_
Our objectives are to (1) develop software to automatically construct digital models from_x000D_
patient images, (2) implement automated performance assessment methods, and (3)_x000D_
evaluate skill development and transfer from the virtual environment to realistic settings._x000D_
We will develop software to automatically warp a template digital anatomical model to match_x000D_
a specific patient image, thus generating models for new patients. We will implement_x000D_
software that automates evaluation of each trainees performance when operating on virtual_x000D_
head models. The software will be based on well validated metrics that are used in current_x000D_
practice by instructors. To evaluate skill development and transfer, an expert panel of_x000D_
Otolaryngologists will evaluate trainees on cadaveric skulls before and after training using the_x000D_
simulator._x000D_
The simulator will result in increased and improved training opportunities on a wide variety of_x000D_
patient types. Moreover, it will allow rehearsal on a digital model prior to surgery on a specific_x000D_
anatomy, leading to improved surgical performance., agreement title english : Mastoidectomy Simulator for Surgical Training and Rehearsal, agreement title french : Mastoidectomy Simulator for Surgical Training and Rehearsal, agreement number : CHRPJ, agreement value : 186200.0, agreement start date : 2017-04-25, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year. (2017-2018 to 2020-2021), additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier. (2017-2018 à 2020-2021), owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada