Generation of normative pediatric skull models for use in cranial vault remodeling procedures View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2012-03

AUTHORS

Nikoo R. Saber, John Phillips, Thomas Looi, Zoha Usmani, Jonathan Burge, James Drake, Peter C. W. Kim

ABSTRACT

PURPOSE: While the goal of craniofacial reconstruction surgery is to restore the cranial head shape as much towards normal as possible, for the individual patient, there is, in fact, no normal three-dimensional (3D) model to act as a guide. In this project, we generated a library of normative pediatric skulls from which a guiding template could be fabricated for a more standardized, objective and precise correction of craniosynostosis. METHODS: Computed tomography data from 103 normal subjects aged 8-12 months were compiled and a 3D computational model of the skull was generated for each subject. The models were mathematically registered to a baseline model for each month of age within this range and then averaged, resulting in a single 3D point cloud. An external cranial surface was subsequently passed through the point cloud and its shape and size customized to fit the head circumference of individual patients. RESULTS: The resultant fabricated skull models provide a novel and applicable tool for a detailed, quantitative comparison between the normative and patient skulls for preoperative planning and practice for a variety of craniofacial procedures including vault remodeling. Additionally, it was possible to extract the suprafrontal orbit anatomy from the normative model and fabricate a bandeau template to guide intraoperative reshaping. CONCLUSIONS: Normative head shapes for pediatric patients have wide application for craniofacial surgery including planning, practice, standarized operative repair, and standardized measurement and reporting of outcomes. More... »

PAGES

405-410

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00381-011-1630-7

DOI

http://dx.doi.org/10.1007/s00381-011-1630-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1016805973

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/22089323


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