Antegonial Notch and Craniofacial Morphology

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Details

A successful treatment of malocclusions often depends on appropriate orthopedic intervention to correct underlying skeletal discrepancies. The ability to predict the magnitude and direction of a patient's facial growth early in life would enable the clinician to identify those who required interceptive growth identification and to ensure that the appropriate treatment can be rendered while growth is possible, and to forego unnecessary treatment on patients with skeletal discrepancies whose growth pattern would probably lead to correction without orthopedic intervention (Kolodziej et al, 2002). This retrospective study was performed to assess the distribution of mandibular antegonial notch depth and its relationships with craniofacial morphology in different skeletal patterns, for the Iraqi adults (18-25 years of age). The sample included pretreatment digital lateral cephalometric radiographs collected from the Orthodontic Department at the College of Dentistry, University of Baghdad. The sample was divided into three groups according to the skeletal classes, and then each group divided according to depth of mandibular antegonial notch into: shallow, medium, and deep groups.

Autorentext

Yassir Abdulkadhim Yassir is Assistant Professor in Orthodontic Department at College of Dentistry - University of Baghdad (Iraq). He awarded his Master Degree in Orthodontics in 2007 from University of Baghdad, and then he started his PhD Orthodontic Clinical Trial Study at University of Dundee (UK) in 2014

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Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783659813009
    • Sprache Englisch
    • Genre Medical Books
    • Größe H220mm x B150mm x T9mm
    • Jahr 2015
    • EAN 9783659813009
    • Format Kartonierter Einband
    • ISBN 3659813001
    • Veröffentlichung 22.12.2015
    • Titel Antegonial Notch and Craniofacial Morphology
    • Autor Yassir Abdulkadhim Yassir
    • Gewicht 209g
    • Herausgeber LAP Lambert Academic Publishing
    • Anzahl Seiten 128

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