Using principal component analysis to describe the midfacial deformities in patients with craniofacial microsomia

Publication date: Available online 25 September 2018

Source: Journal of Cranio-Maxillofacial Surgery

Author(s): Britta D.P.J. Maas, Britt I. Pluijmers, Paul G.M. Knoops, Clifford Ruff, Maarten J. Koudstaal, David Dunaway

Summary

Purpose

Craniofacial microsomia (CFM) is the result of a disturbance in embryologic development and is characterised by an asymmetric, mostly unilateral facial underdevelopment. The aim of this study is to understand the midfacial involvement in CFM using principal component analysis (PCA).

Materials and Methods

Pre-operative data from 19 CFM and 23 control patients were collected. A set of 71 landmarks was placed on three-dimensional (3D) reconstructions of all skulls to compare both populations. PCA visualised variation within both groups and calculated the vector of change. Linear measurements were taken to compare ratios between the populations and between the affected and unaffected sides in CFM patients.

Results

PCA defined a vector that described shape changes between both populations. Videos showed the variation within the control and CFM group and the transformation from a mean CFM skull into a normal phenotype. Linear measurements showed a significant difference between the affected and unaffected sides in CFM patients.

Conclusion

PCA has not been applied on asymmetrical data before, but it has proved to be a useful method to describe CFM. The virtual normalisation of a mean CFM skull enables visualisation of the bony shape changes, which is promising to delineate and to plan surgical correction and could be used as an outcome measure.

https://ift.tt/2Ii9VMZ