Evaluation of the influencing factors on facial development for mouth breathing children: Insights from 3D scanning technology. B Cheng, AS Mohamed, H Li, Y Li, J Liu, L Liu, R Zou, F Wang.

3dMD acquire 3D facial images of 195 children aged 7–12 years. They were divided into 12 groups by age (7–8 years group, 9–10 years group,11–12 years group,), gender, and breathing pattern (mouth breathing MB, nasal breathing NB).

Profile line accuracy in cephalometric radiographs. ML Arn, J Opacic, G Kanavakis, D Halazonetis, N Gkantidis.

On average, the lateral cephalometric radiographs might provide an adequate representation of the facial profile, but when individual patients are considered, there is often a clinically significant error. Thus, lateral cephalograms should be used with caution to evaluate the facial soft-tissue profile.

Three-dimensional analysis of facial morphology in nine-year-old children with different unilateral orofacial clefts compared to normative data. M Crins-de Koning, R Bruggink, M Nienhuijs, T Wagner, EM Bronkhorst, EM Ongkosuwito.

3dMD images of cleft patients were captured under standardized conditions between 2016 and 2022 and maintained in the database of the Amalia Cleft Palate and Craniofacial Unit of the Radboudumc, Nijmegen, the Netherlands.

Can we identify a Surface Phenotype and Prediction Model for Obstructive Sleep Apnoea? A case-Control Study. A Johal, B Agha, LF Zou.

Between September 2016 and April 2018, all 118 middle-aged Caucasian male subjects were capture with the 3dMDface.t System using a novel technique for the registration of head position during image acquisition. The 3D surface structures were assessed using 3dMDvultus software and 36 surface variables were analyzed including linear, angular measurements, and proportions.