3D of Brain Shape and Volume After Cranial Vault Remodeling Surgery for Craniosynostosis Correction in Infants.
Beatriz Paniagua, Omri Emodi, Jonathan Hill, James Fishbaugh, Luiz A Pimenta, Stephen R Aylward, Enquobahrie Andinet, Guido Gerig, John Gilmore, John A van Aalst, Martin Styner
Author Information
Beatriz Paniagua: Department of Psychiatry, University of North Carolina at Chapel Hill.
Omri Emodi: Department of Plastic Surgery, University of North Carolina at Chapel Hill.
Jonathan Hill: Department of Plastic Surgery, University of North Carolina at Chapel Hill.
James Fishbaugh: Scientific Computing Institute, University of Utah.
Luiz A Pimenta: Department of Dentistry, University of North Carolina at Chapel Hill.
Stephen R Aylward: Kitware, Inc.
Enquobahrie Andinet: Kitware, Inc.
Guido Gerig: Scientific Computing Institute, University of Utah.
John Gilmore: Department of Psychiatry, University of North Carolina at Chapel Hill.
John A van Aalst: Department of Plastic Surgery, University of North Carolina at Chapel Hill.
Martin Styner: Department of Psychiatry, University of North Carolina at Chapel Hill.
The skull of young children is made up of bony plates that enable growth. Craniosynostosis is a birth defect that causes one or more sutures on an infant's skull to close prematurely. Corrective surgery focuses on cranial and orbital rim shaping to return the skull to a more normal shape. Functional problems caused by craniosynostosis such as speech and motor delay can improve after surgical correction, but a post-surgical analysis of brain development in comparison with age-matched healthy controls is necessary to assess surgical outcome. Full brain segmentations obtained from pre- and post-operative computed tomography (CT) scans of 8 patients with single suture sagittal (n=5) and metopic (n=3), non-syndromic craniosynostosis from 41 to 452 days-of-age were included in this study. Age-matched controls obtained via 4D acceleration-based regression of a cohort of 402 full brain segmentations from healthy controls magnetic resonance images (MRI) were also used for comparison (ages 38 to 825 days). 3D point-based models of patient and control cohorts were obtained using SPHARM-PDM shape analysis tool. From a full dataset of regressed shapes, 240 healthy regressed shapes between 30 and 588 days-of-age (time step = 2.34 days) were selected. Volumes and shape metrics were obtained for craniosynostosis and healthy age-matched subjects. Volumes and shape metrics in single suture craniosynostosis patients were larger than age-matched controls for pre- and post-surgery. The use of 3D shape and volumetric measurements show that brain growth is not normal in patients with single suture craniosynostosis.
