3D of Brain Shape and Volume After Cranial Vault Remodeling Surgery for Craniosynostosis Correction in Infants.
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.
Department of Psychiatry, University of North Carolina at Chapel Hill.
Beatriz
B
Paniagua
Department of Plastic Surgery, University of North Carolina at Chapel Hill.
Omri
O
Emodi
Department of Plastic Surgery, University of North Carolina at Chapel Hill.
Jonathan
J
Hill
Scientific Computing Institute, University of Utah.
James
J
Fishbaugh
Department of Dentistry, University of North Carolina at Chapel Hill.
Luiz A
LA
Pimenta
Kitware, Inc.
Stephen R
SR
Aylward
Kitware, Inc.
Enquobahrie
E
Andinet
Scientific Computing Institute, University of Utah.
Guido
G
Gerig
Department of Psychiatry, University of North Carolina at Chapel Hill.
John
J
Gilmore
Department of Plastic Surgery, University of North Carolina at Chapel Hill.
John A
JA
van Aalst
Department of Psychiatry, University of North Carolina at Chapel Hill.
Martin
M
Styner
Pediatric neuroimaging; plastic Surgery; shape analysis; shape regression; volumetric analysis