Predicting craniofacial growth of patients affected by Class III Malocclusion

In collaboration with the Department of Surgery and Translational Medicine of the University of Florence (DCMT), we developed a classifier to predict the development of patients affected by class III malocclusion. A malocclusion is a misalignment or incorrect relation between the teeth of the two dental arches when they approach each other as the jaws close, class III malocclusion is characterized by anterior crossbite.

Data has been gathered from 91 patients followed longitudinally and a cross-sectional sample of 728 patients by the Department of Orthodontics of the university of Florence, and from the Graduate Orthodontic program at the University of Michigan, Ann Arbor. An analysis was carried out from different cephalometric variables extracted from two lateral cephalograms, these measure angles and lengths between key points of the cranio-facial morphology of the patients.

The algorithm, described in detail in a paper recently published on Nature Scientific Reports, is able to predict with an improved accuracy with respect to previous works the expected growth of untreated patients affected by class III malocclusion. A working version of the tool can be utilized here