Using a 3D asymmetry index as a novel form for capturing complex three-dimensionality in positional plagiocephaly

Sci Rep. 2022 Dec 2;12(1):20831. doi: 10.1038/s41598-022-24555-1.

Abstract

Positional plagiocephaly (PP) is the most common skull deformity in infants. Different classification systems exist for graduating the degree of PP, but all of these systems are based on two-dimensional (2D) parameters. This limitation leads to several problems stemming from the fact that 2D parameters are used to classify the three-dimensional (3D) shape of the head. We therefore evaluate existing measurement parameters and validate a newly developed 3D parameter for quantifying PP. Additionally, we present a new classification of PP based on a 3D parameter. 210 patients with PP and 50 patients without PP were included in this study. Existing parameters (2D and 3D) and newly developed volume parameters based on a 3D stereophotogrammetry scan were validated using ROC curves. Additionally, thresholds for the new 3D parameter of a 3D asymmetry index were assessed. The volume parameter 3D asymmetry index quantifies PP equally as well as the gold standard of 30° diagonal difference. Moreover, a 3D asymmetry index allows for a 3D-based classification of PP. The 3D asymmetry index can be used to define the degree of PP. It is easily applicable in stereophotogrammetric datasets and allows for comparability both intra- and inter-individually as well as for scientific analysis.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Humans
  • Infant
  • Pancreas
  • Photogrammetry
  • Plagiocephaly, Nonsynostotic* / diagnostic imaging
  • ROC Curve