Paper Info
Title
Development and validation methodology of the Nuss procedure surgical planner
Abstract
Surgical planners are used to achieve the optimal outcome for surgery. They are especially desired in procedures where a positive aesthetic outcome is the primary goal, such as the Nuss procedure which is a minimally invasive surgery for correcting pectus excavatum (PE) - a congenital chest wall deformity which is characterized by a deep depression of the sternum. The Nuss procedure consists of placement of a metal bar(s) underneath the sternum, thereby forcibly changing the geometry of the ribcage. Because of the prevalence of PE and the popularity of the Nuss procedure, the demand to perform this surgery is greater than ever. Therefore, a Nuss procedure surgical planner is an invaluable planning tool ensuring an optimal physiological and aesthetic outcome. We propose the development and validation of the Nuss procedure planner. First, a generic model of the ribcage is developed. Then, the computed tomography (CT) data collected from actual patients with PE is used to create a set of patient-specific finite element models (FEM). Based on finite element analyses (FEA) a force-displacement data set is created. This data is used to train an artificial neural network (ANN) to generalize the data set. In order to evaluate the planning process, a methodology which uses an average shape of the chest for comparison with results of the Nuss procedure planner is developed. Haptic feedback and inertial tracking is also implemented. The results show that it is possible to utilize this approximation of the force-displacement model for a Nuss procedure planner and trainer.
Year
DOI
Venue
2013
10.1177/0037549713496153
Simulation
Keywords
DocType
Volume
minimally invasive surgery,aesthetic outcome,Nuss procedure,data set,optimal outcome,validation methodology,surgical planner,Nuss procedure planner,force-displacement data set,positive aesthetic outcome,congenital chest wall deformity
Journal
89
Issue
ISSN
Citations 
12
0037-5497
1
PageRank 
References 
Authors
0.37
9
2
Name
Order
Citations
PageRank
Krzysztof J. Rechowicz1105.29
Frederic D Mckenzie27518.51