Retrospective epidemiological study of mandibular rotational types in patients with orthodontical malocclusion

Gaetano Paludetti, Cristina Grippaudo, Sabina Saccomanno, Roberto Deli, Giovanni Di Cintio, Eugenio De Corso, Patrizia Ambrogini, Maria Cristina Albertini, Michele Betti, Claudia Galati, Davide Lattanzi, David Savelli, Michael Di Palma, Stefania Saccomanno, Desirée Bartolini, Pierangelo Torquato, Gabriele Ruffolo, Fabiola Olivieri, Francesco Galli, Eleonora PalmaAndrea Minelli, Riccardo Cuppini

Risultato della ricerca: Contributo in rivistaArticolo in rivistapeer review

11 Citazioni (Scopus)

Abstract

SUMMARY The primary aim of this study was to illustrate the prevalence of facial skeletal discrepancy in an Italian sample. Another aim was to evaluate the effectiveness of the sagittal skeletal discrepancy classification in order to establish a morphologic pattern of growth useful for diagnosis and prediction of therapeutic results. The authors considered a sample of 732 patients (426 females and 306 males) aged between 6 and 17 years old. Cephalometric parameters were evaluated in order to establish a relationship between sagittal skeletal discrepancy and the classification of facial rotations (Lavergne and Petrovic). Facial types with neutral mandibular growth direction were the most prevalent, and were most observed in classes I and II; the latter was more represented than others in our sample. Facial types with posterior mandibular growth direction were the most prevalent in class III. Sagittal skeletal discrepancy classification is not able to establish a specific facial type or predict an individual responsiveness to treatment.
Lingua originaleEnglish
pagine (da-a)1-6
Numero di pagine6
RivistaActa Otorhinolaryngologica Italica
Volume2018
DOI
Stato di pubblicazionePubblicato - 2018

Keywords

  • Classification
  • Malocclusion

Fingerprint

Entra nei temi di ricerca di 'Retrospective epidemiological study of mandibular rotational types in patients with orthodontical malocclusion'. Insieme formano una fingerprint unica.

Cita questo