Introducing a new method for classifying skull shape abnormalities related to craniosynostosis

2020-04-17

We present a novel technique for classification of skull deformities due to most common craniosynostosis. We included 5 children of every group of the common craniosynostoses (scaphocephaly, brachycephaly, trigonocephaly, and right- and left-sided anterior plagiocephaly) and additionally 5 controls. Our outline-based classification method is described, using the software programs OsiriX, MeVisLab, and Matlab. These programs were used to identify chosen landmarks (porion and exocanthion), create a base plane and a plane at 4 cm, segment outlines, and plot resulting graphs. We measured repeatability and reproducibility, and mean curves of groups were analyzed. All raters achieved excellent intraclass correlation scores (0.994–1.000) and interclass correlation scores (0.989–1.000) for identifying the external landmarks. Controls, scaphocephaly, trigonocephaly, and brachycephaly all have the peak of the forehead in the middle of the curve (180°). In contrary, in anterior plagiocephaly, the peak is shifted (to the left of graph in right-sided and vice versa). Additionally, controls, scaphocephaly, and trigonocephaly have a high peak of the forehead; scaphocephaly has the lowest troughs; in brachycephaly, the width/frontal peak ratio has the highest value

Computer tomography; Computer-assisted diagnosis; Craniosynostosis; Reliability; Shape analysis; info:eu-repo/semantics/article

10.1007.s00431-020-03643-2

application/pdf
European Journal of Pediatrics
English

QGQ oai:repub.eur.nl:126545
doi:10.1007/s00431-020-03643-2
urn:hdl:1765/126545
1157012620

ERASMUS UNIVERSITEIT ROTTERDAM
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