Developing 3D Craniofacial Morphometry Data and Tools to Transform Dysmorphology

Investigator: Ophir Klein, MD, PhD
Sponsor: University of Colorado Denver, Anschutz Medical Campus

Location(s): United States


Dysmorphology is the branch of pediatrics and clinical genetics concerned with structural birth defects and delineation of syndromes. More than 1500 syndromes that include orofacial dysmorphia have been described. Today, dysmorphology remains largely descriptive, with diagnoses based on subjective or semi-quantitative clinical impressions of facial and other anatomic features. Over the past decade, dramatic technological advances in imaging, quantification, and analysis of variation in complex three-dimensional (3D) shape have revolutionized the assessment of morphologic variation, permitting robust definition of quantitative morphometric phenotypes that can distinguish patients from controls in a variety of syndromes. The goal of this proposal is to develop systems that will enable diagnostic application of craniofacial 3D morphometrics in clinical practice. We aim to define specific quantitative measures that characterize the aberrant facial shapes in a large number of human dysmorphic syndromes.

We anticipate that 3D photomorphometric “deep-phenotyping”, in conjunction with the rapid advent of exome and genome sequencing in clinical medicine, will transform dysmorphology from a clinical art into a medical science.

Aim 1Build a broad and deep 3D morphometric facial scan “library” of defined craniofacial dysmorphic syndromes, a resource that can be shared with approved investigators for research purposes via the NIDCR FaceBase Hub.

Aim 2Develop 3D geometric morphometric (GM) and dense surface modeling (DSM) analytical tools to systematically analyze and distinguish dysmorphic syndromes from unaffected individuals and from each other.

Aim 3Develop a functional, automated, prototype clinical tool that is capable of simultaneously distinguishing a large number of syndromes, and that thereby can assist real-time diagnosis of syndromes in the clinical setting.