Malocclusion and health care [PDF]
openaire +2 more sources
Correction of Soft Tissue Profile Disortion Through Periodontal‐Orthodontic Treatment: Advanced periodontitis with pathologic anterior tooth migration resulted in protrusion and distortion of the soft tissue profile. Following periodontal stabilization, segmented orthodontic mechanics with skeletal anchorage enabled controlled intrusion and retrusion ...
Lisa‐Marie Mai +5 more
wiley +1 more source
Publication Bias in Epidemiological Studies of Malocclusions in Mexican Children and Teenagers: A Systematic Review and Meta-Analysis. [PDF]
Argueta-Figueroa L +8 more
europepmc +1 more source
Bifid Mandibular Condyle Seen in a Patient With Posterior Disk Displacement
ABSTRACT This report highlights the rare bifid mandibular condyle (BMC). Clinicians should consider BMC as a potential factor in complex temporomandibular joint mechanics.
Yosuke Iijima +6 more
wiley +1 more source
Association between malocclusion and other occlusions in mixed and permanent dentitions: a cross-sectional study. [PDF]
Ahmed Bahammam S, Bahammam HA.
europepmc +1 more source
Retrospective Descriptive Case Series on the Use of AMCOP<sup>®</sup> Elastodontic Appliance in Growing Patients with Class III Malocclusion. [PDF]
Inchingolo AM +9 more
europepmc +1 more source
ABSTRACT Objectives War‐related stress may exacerbate parafunctional oral/postural habits and hinder the normalization of swallowing in children. Evidence for low‐burden myofunctional protocols remains limited, particularly in juveniles living in high‐stressor settings. This study described short‐term trajectories of swallowing rehabilitation status in
Nataliia Makhlynets +4 more
wiley +1 more source
Transverse skeletal proportionality in the prognostic evaluation of facemask therapy for skeletal class III malocclusion: a retrospective cephalometric study. [PDF]
Park SE +5 more
europepmc +1 more source
Machine Learning and Clustering Analysis of Class II and III Malocclusions
ABSTRACT Objectives This prospective observational study aims to accurately classify individuals as skeletal class II/III by applying several machine‐learning algorithms. Furthermore, using the k‐means clustering analysis deepened our understanding of the characteristics of skeletal class II/III malocclusion (SCIIMO/SCIIIMO) patients.
Eva Paddenberg‐Schubert +11 more
wiley +1 more source
Comparative Evaluation of Sella Turcica Morphology and Dimensions in Skeletal Class III Malocclusion and Cleft Lip and Palate Patients Versus Class I Individuals. [PDF]
Gul B +6 more
europepmc +1 more source

