Clusters in craniofacial microsomia and microtia according to facial morphology and craniofacial anomalies

Associated craniofacial malformations such as ocular anomalies and macrostomia are frequently seen in craniofacial microsomia (CFM). This study assessed associations between objectively measured facial morphology and clinically observed craniofacial malformations in patients with CFM in order to identify clinically significant patient clusters based on these characteristics for preferential screening purposes. In this multicenter cross-sectional cohort study, facial morphology was assessed from three-dimensional (3D) photographs using asymmetry index (ASI) and facial signature (FS) scores, as well as a principal components (PC) analysis of FS scores. Differences in ASI, FS and PC scores were calculated for patients with and without craniofacial anomalies. A clustering analysis was applied to identify patient clusters based on facial morphology and the presence of craniofacial anomalies. A total of 179 patients were included, and significantly higher ASI and FS scores were found in patients with ocular anomalies, skin adnexa-related anomalies, clefting, inner ear anomalies, speech- and language difficulties and vision difficulties compared to patients without these anomalies or difficulties. Two clusters were identified, with significant differences in PC scores, craniofacial anomalies, as well as speech- and language- and vision difficulties. CONCLUSION: Patients with ocular anomalies, skin adnexa-related anomalies, clefting and aural atresia, or anomalies in two or more of these groups had more facial hypoplasia, while patients with anomalies in two or fewer of these groups had less facial hypoplasia. 3D photography may be a promising tool to identify patients that should be screened for these concurrent craniofacial anomalies. WHAT IS KNOWN: • CFM is a hetergeneous condition and patients may have various craniofacial anomalies. • 3D photography can be used to measure facial shape in patients with CFM. WHAT IS NEW: • Patients with more facial hypoplasia measured using 3D photography frequently have more associated craniofacialanomalies. • 3D photography could be a promising tool for identifying patients who should be preferentially screened forassociated anomalies.

Authors

Institutions

Publication Details

Journal
European Journal of Pediatrics
Published
2026-04-24
DOI
https://doi.org/10.1007/s00431-026-06973-9
Primary Topic
Craniofacial Disorders and Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Clusters in craniofacial microsomia and microtia according to facial morphology and craniofacial anomalies

Jitske W. Nolte, FH Kruisinga, Elsa M. Ronde, Christiane Landwehr et al.
European Journal of Pediatrics
Craniofacial Disorders and Treatments
article

Clusters in craniofacial microsomia and microtia according to facial morphology and craniofacial anomalies

Jitske W. Nolte, FH Kruisinga, Elsa M. Ronde, Christiane Landwehr, J. W. Nolte, S. Schievano, D. Dunaway, Corstiaan C. Breugem, G.A. de Jong, Neil Bulstrode, Thomas JJ. Maal, Alfred G. Becking, E. M. Ronde, J. Bolks, F. A. Ebbens, M. Tjaberinga, B. J. van Royen, T. J. J. Maal, N. W. Bulstrode, M. E. L. Nienhuijs, Guido A. de Jong, A. G. Becking, Marloes E. L. Nienhuijs, E. M. Ongkosuwito, A. Stadhouder, C. C. Breugem
article en

Abstract

Associated craniofacial malformations such as ocular anomalies and macrostomia are frequently seen in craniofacial microsomia (CFM). This study assessed associations between objectively measured facial morphology and clinically observed craniofacial malformations in patients with CFM in order to identify clinically significant patient clusters based on these characteristics for preferential screening purposes. In this multicenter cross-sectional cohort study, facial morphology was assessed from three-dimensional (3D) photographs using asymmetry index (ASI) and facial signature (FS) scores, as well as a principal components (PC) analysis of FS scores. Differences in ASI, FS and PC scores were calculated for patients with and without craniofacial anomalies. A clustering analysis was applied to identify patient clusters based on facial morphology and the presence of craniofacial anomalies. A total of 179 patients were included, and significantly higher ASI and FS scores were found in patients with ocular anomalies, skin adnexa-related anomalies, clefting, inner ear anomalies, speech- and language difficulties and vision difficulties compared to patients without these anomalies or difficulties. Two clusters were identified, with significant differences in PC scores, craniofacial anomalies, as well as speech- and language- and vision difficulties. CONCLUSION: Patients with ocular anomalies, skin adnexa-related anomalies, clefting and aural atresia, or anomalies in two or more of these groups had more facial hypoplasia, while patients with anomalies in two or fewer of these groups had less facial hypoplasia. 3D photography may be a promising tool to identify patients that should be screened for these concurrent craniofacial anomalies. WHAT IS KNOWN: • CFM is a hetergeneous condition and patients may have various craniofacial anomalies. • 3D photography can be used to measure facial shape in patients with CFM. WHAT IS NEW: • Patients with more facial hypoplasia measured using 3D photography frequently have more associated craniofacialanomalies. • 3D photography could be a promising tool for identifying patients who should be preferentially screened forassociated anomalies.

European Journal of PediatricsVol. 185(5)
Radboud University Nijmegen (NL), Great Ormond Street Hospital (GB), Radboud University Medical Center (NL), Academic Center for Dentistry Amsterdam (NL), Radboud Institute for Molecular Life Sciences (NL), Amsterdam Institute for Addiction Research (NL), Amsterdam University Medical Centers (NL), University College London (GB), University of Amsterdam (NL)
Quality Education
Openalex Percentile: Top 17%
Craniofacial Disorders and Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.