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3D of Brain Shape and Volume after Cranial Vault Remodeling Surgery for Craniosynostosis Correction in Infants

Institution:
1Department of Psychiatry, University of North Carolina at Chapel Hill, NC, USA.
2Department of Plastic Surgery, University of North Carolina at Chapel Hill, NC, USA.
3Scientific Computing Institute, University of Utah, UT, USA.
4Department of Dentistry, University of North Carolina at Chapel Hill, NC, USA.
5Kitware, Inc., Clifton Park, NY, USA.
Publication Date:
Mar-2013
Journal:
Proc Soc Photo Opt Instrum Eng
Volume Number:
8672
Pages:
86720V
Citation:
Proc Soc Photo Opt Instrum Eng. 2013 Mar 29;8672:86720V.
PubMed ID:
24465118
PMCID:
PMC3898845
Keywords:
Pediatric neuroimaging, plastic surgery, shape analysis, shape regression, volumetric analysis
Appears in Collections:
NA-MIC
Sponsors:
P30 HD003110/HD/NICHD NIH HHS/United States
U54 EB005149/EB/NIBIB NIH HHS/United States
Generated Citation:
Paniagua B., Emodi O., Hill J., Fishbaugh J., Pimenta L.A., Aylward S.R., Andinet E., Gerig G., Gilmore J., van Aalst J.A., Styner M. 3D of Brain Shape and Volume after Cranial Vault Remodeling Surgery for Craniosynostosis Correction in Infants. Proc Soc Photo Opt Instrum Eng. 2013 Mar 29;8672:86720V. PMID: 24465118. PMCID: PMC3898845.
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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.

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