Dr. Antonis Chaniotis



   Chaniotis Antonis graduated from the University of Athens Dental School, Greece (1998). In 2003 he completed the three-year postgraduate program in Endodontics at the University of Athens Dental School.Since 2003, he owns a limited to microscopic Endodontics private practice in Athens, Greece.For the last ten years, he served as a clinical instructor affiliated with the undergraduate and postgraduate programs at the University of Athens, Athens Dental School, Endodontic department, Greece. In 2012 he was awarded the title of Clinical fellow teacher at the University of Warwick, Warwick dentistry UK. He lectures extensively nationally and internationally and he has published articles in local and international Journals.He currently serves as an active member of the Hellenic Society of Endodontology (ESE full member society), a board member of the Academy of Microscope Enhanced Dentistry (AMED), a certified member of the European Society of Endodontology (ESE) and international member of American Association of Endodontists (AAE)


Management of Severe Curvatures and Complex Anatomy with controlled memory files:  A New Approach

 The root canal system is often a highly complicated network of multi-planar curvatures and anastomoses. Reaching the biological and design objectives of instrumentation in severely curved canals, deep apical splits and complicated canal systems can be an extremely challenging aspect of root canal treatment. The aim of this lecture is to introduce a novel instrumentation concept with controlled memory files for the predictable and safe enlargement of extremely challenging root canal systems.


Learning objectives

Upon completion of this CE webinar the student should be able to :

 1.     Understand the design and biological objectives of canal instrumentation

2.     Understand the anatomical complexity of the root canal systems

3.     Investigate the minimum instrumentation requirements for effective disinfection

4.     Implement a new instrumentation method with controlled memory files for the predictable management of challenging anatomies