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Computer-assisted shape descriptors for skull morphology in craniosynostosis

 Kyu Won Shim  ;  Min Jin Lee  ;  Myung Chul Lee  ;  Eun Kyung Park  ;  Dong Seok Kim  ;  Helen Hong  ;  Yong Oock Kim 
 CHILDS NERVOUS SYSTEM, Vol.32(3) : 511-517, 2016 
Journal Title
Issue Date
Cephalometry/methods* ; Child ; Child, Preschool ; Craniosynostoses/pathology* ; Female ; Humans ; Imaging, Three-Dimensional/methods* ; Infant ; Male ; Skull/pathology* ; Tomography, X-Ray Computed/methods
Cranial index ; Cranial spectrum ; Craniosynostosis ; Scaphocephaly severity index ; Shape descriptor
PURPOSE: Our aim was to develop a novel method for characterizing common skull deformities with high sensitivity and specificity, based on two-dimensional (2D) shape descriptors in computed tomography (CT) images. METHODS: Between 2003 and 2014, 44 normal subjects and 39 infants with craniosynostosis (sagittal, 29; bicoronal, 10) enrolled for analysis. Mean age overall was 16 months (range, 1-120 months), with a male:female ratio of 56:29. Two reference planes, sagittal (S-plane: through top of lateral ventricle) and coronal (C-plane: at maximum dimension of fourth ventricle), were utilized to formulate three 2D shape descriptors (cranial index [CI], cranial radius index [CR], and cranial extreme spot index [CES]), which were then applied to S- and C-plane target images of both groups. RESULTS: In infants with sagittal craniosynostosis, CI in S-plane (S-CI) usually was <1.0 (mean, 0.78; range, 0.67-0.95), with CR consistently at 3 and a characteristic CES pattern of two discrete hot spots oriented diagonally. In the bicoronal craniosynostosis subset, CI was >1.0 (mean 1.11; range, 1.04-1.25), with CR at -3 and a CES pattern of four discrete diagonally oriented hot spots. Scatter plots underscored the highly intuitive joint performance of CI and CES in distinguishing normal and deformed states. Altogether, these novel 2D shape descriptors enabled effective discrimination of sagittal and bicoronal skull deformities. CONCLUSIONS: Newly developed 2D shape descriptors for cranial CT imaging enabled recognition of common skull deformities with statistical significance, perhaps providing impetus for automated CT-based diagnosis of craniosynostosis.
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1. College of Medicine (의과대학) > Dept. of Neurosurgery (신경외과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Plastic and Reconstructive Surgery (성형외과학교실) > 1. Journal Papers
Yonsei Authors
Kim, Dong Seok(김동석)
Kim, Yong Oock(김용욱) ORCID logo https://orcid.org/0000-0002-3756-4809
Park, Eun Kyung(박은경)
Shim, Kyu Won(심규원) ORCID logo https://orcid.org/0000-0002-9441-7354
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