Back to Search Start Over

Assessment of Sagittal Discrepancies between Malay and Pakistani Population: Latest and Old Approaches.

Authors :
Alam, Mohammad Khursheed
Qamruddin, Irfan
Sidiki, Muhammad Najib
Basri, Rehana
Al Harun, K. M. Abdullah
bin Mat Arifin, Mohd Nor Azlin
Kamarazaman, Khuzaimah binti
Source :
International Medical Journal; Aug2016, Vol. 23 Issue 4, p424-427, 4p
Publication Year :
2016

Abstract

Objectives: The purpose of the study was to compare the Pakistani and Malay populations for old and comparatively new sagittal cephalometric analyses. Study design: This cross sectional study was conducted using lateral cephalometric radiographs of Malay and Pakistani population for assessment of their jaws in sagittal plane. Materiais and Methods: Pretreatment lateral cephalogram of 246 Malay orthodontic patients and 209 Pakistani patients were selected for the study. Radiographs were traced for angle ANB, Wits appraisal, Beta angle, W angle and Yen angle. Patients were divided into three skeletal Classes (I, II and III) based on cephalometric analyses, profile and incisor's classification from casts. ANOVA was applied to assess the difference in measured values for skeletal classes and independent-t test was used to compare both the samples. Results: Skeletal class I was more prevalent in Malay sample and Class II dominated the Pakistani population. Mean values of ANB for class III, Beta angle for Class I and II, W angle for Class I and III and Yen angle for all the skeletal classes were significantly different for both the population (p < 0.05). Conclusions: All the performed analyses were significant in diagnosis of sagittal discrepancies. Malays and Pakistani populations are significantly different in cephalometric norms, therefore the respective standards should be used for diagnosis and treatment planning. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13412051
Volume :
23
Issue :
4
Database :
Supplemental Index
Journal :
International Medical Journal
Publication Type :
Academic Journal
Accession number :
117754918