title: Automatic analysis of local nasal features in 22q11.2DS affected individuals.
abstract: The 22q11.2 deletion syndrome is a common genetic condition with an estimated prevalence between 1:2000 and 1:6000 live births in the US. The syndrome is manifested in multiple different craniofacial features. The nasal area is known to play a role in assessing the extent of dysmorphology of an individual patient. In this paper, we present a method for detecting and assessing the severity of a common nasal feature: the bulbous nasal tip. Our method locates the nose and computes four descriptors, each of which leads to a severity score. Experiments with the four severity scores and a combinations of the best two show that using all five scores gives the best prediction of bulbous nasal tip. Furthermore, the bulbous nasal tip measures outperformed the median of human experts and attains similar results to our own prior work on global descriptors [12] for prediction of 22q11.2DS.
authors: Department of Computer Science and Engineering, University of Washington, Seattle, WA 98195, USA. jiawu@cs.washington.edu
authors: Jia
authors: J
authors: Wu
authors: Katarzyna
authors: K
authors: Wilamowska
authors: Linda
authors: L
authors: Shapiro
authors: Carrie
authors: C
authors: Heike
mesh_terms: D000293:Adolescent; D000328:Adult; D000465:Algorithms; D001331:Automation; D002648:Child; D002675:Child, Preschool; D002872:Chromosome Deletion; D002892:Chromosomes, Human, Pair 22 / Q000648:ultrastructure*; D005260:Female; D006801:Humans; D021621:Imaging, Three-Dimensional; D007223:Infant; D008297:Male; D009154:Mutation; D055171:Nasal Cartilages; D009666:Nose / Q000002:abnormalities*; D010363:Pattern Recognition, Automated