Demetrios J. Halazonetis

Demetrios J. Halazonetis

Biography

Demetrios Halazonetis is Professor and Chair at the Department of Orthodontics, School of Dentistry, National and Kapodistrian University of Athens.

He received his dental education at the National and Kapodistrian University of Athens (1979 – 1984) and his orthodontic training at the Orthodontic Department of Tufts University, Boston, USA, where he also completed a Master’s of Science course. He concluded a Doctorate Gegree Thesis at the University of Athens in 1994. He has been in private practice of orthodontics in Athens, Greece, since 1987. Prof. Halazonetis has published more than 50 scientific research papers in peer-reviewed journals. He is the author of the Viewbox cephalometric software, Associate Editor of the Am J Orthod Dentofacial Orthop and member of the Editorial Board of the Eur J Orthod. His research interests and areas of expertise include cephalometrics, imaging, computed tomography, facial aesthetics and application of geometric morphometric methods to the analysis of craniofacial shape.

KEYNOTE LECTURE: Do orthodontic radiographic images lie? How to avoid common errors in image interpretation.

Radiographic images are considered essential for diagnosis and treatment planning in Orthodontics, but they have inherent limitations that need to be recognized in order to avoid misinterpretations. This presentation will highlight some of the most common interpretation issues that can affect orthodontic diagnostic conclusions. Panoramic radiography often provides a distorted view of anterior teeth and displays short incisor roots, an effect due to excessive labial inclination or improper patient positioning. Errors in mesiodistal premolar and canine angulation are also common, although not as well known. Cephalograms are plagued by foreshortening, magnification and projection artifacts, frequently leading to a false impression of asymmetry, tooth position and bone coverage. Cone beam computed tomography promises to overcome the problems of 2D imaging but introduces artifacts of its own, including reduced spatial resolution, noise and inconsistent density. The theoretical basis of each artifact and limitation will be explained and practical examples will be provided.

All sessions by Demetrios J. Halazonetis