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Quantitative analysis of fetal facial morphology using 3D ultrasound and statistical shape modeling: a feasibility study

Dall'Asta, A; Schievano, S; Bruse, JL; Paramasivam, G; Kaihura, CT; Dunaway, D; Lees, CC; (2017) Quantitative analysis of fetal facial morphology using 3D ultrasound and statistical shape modeling: a feasibility study. American Journal of Obstetrics and Gynecology , 217 (1) 76.e1-76.e8. 10.1016/j.ajog.2017.02.007. Green open access

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Abstract

BACKGROUND: The antenatal detection of facial dysmorphism using 3-dimensional ultrasound may raise the suspicion of an underlying genetic condition but infrequently leads to a definitive antenatal diagnosis. Despite advances in array and noninvasive prenatal testing, not all genetic conditions can be ascertained from such testing. OBJECTIVES: The aim of this study was to investigate the feasibility of quantitative assessment of fetal face features using prenatal 3-dimensional ultrasound volumes and statistical shape modeling. STUDY DESIGN: Thirteen normal and 7 abnormal stored 3-dimensional ultrasound fetal face volumes were analyzed, at a median gestation of 29(+4) weeks (25(+0) to 36(+1)). The 20 3-dimensional surface meshes generated were aligned and served as input for a statistical shape model, which computed the mean 3-dimensional face shape and 3-dimensional shape variations using principal component analysis. RESULTS: Ten shape modes explained more than 90% of the total shape variability in the population. While the first mode accounted for overall size differences, the second highlighted shape feature changes from an overall proportionate toward a more asymmetric face shape with a wide prominent forehead and an undersized, posteriorly positioned chin. Analysis of the Mahalanobis distance in principal component analysis shape space suggested differences between normal and abnormal fetuses (median and interquartile range distance values, 7.31 ± 5.54 for the normal group vs 13.27 ± 9.82 for the abnormal group) (P = .056). CONCLUSION: This feasibility study demonstrates that objective characterization and quantification of fetal facial morphology is possible from 3-dimensional ultrasound. This technique has the potential to assist in utero diagnosis, particularly of rare conditions in which facial dysmorphology is a feature.

Type: Article
Title: Quantitative analysis of fetal facial morphology using 3D ultrasound and statistical shape modeling: a feasibility study
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.ajog.2017.02.007
Publisher version: http://doi.org/10.1016/j.ajog.2017.02.007
Language: English
Additional information: © 2017 Elsevier Inc. All rights reserved. This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: 3-dimensional ultrasound, facial dysmorphism, genetic syndrome, prenatal diagnosis, principal component analysis, statistical shape modeling
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science > Childrens Cardiovascular Disease
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health > Developmental Biology and Cancer Dept
URI: https://discovery.ucl.ac.uk/id/eprint/1542917
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