Frontal Diameter of the Tibia Head: A Comparison of Results from Computed Tomography and Anthropometric Measurements

2009 ◽  
pp. 45-45-10
Author(s):  
Wolfgang Menke ◽  
Friedrich Bodem ◽  
Hans Schild
Keyword(s):  
Computed Tomography ◽  
Anthropometric Measurements ◽  
Comparison Of Results

Anthropometric measurements in the diagnosis of pelvic size: an analysis of maternal height and shoe size and computed tomography pelvimetric data

2007 ◽  
Vol 276 (5) ◽  
pp. 523-528 ◽  
Author(s):  
Awoniyi O. Awonuga ◽  
Zaher Merhi ◽  
Modupe T. Awonuga ◽  
Terri-Ann Samuels ◽  
Jennifer Waller ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Anthropometric Measurements ◽  
Maternal Height ◽  
Shoe Size ◽  
Pelvic Size

scholarly journals Estimation of Sexual Dimorphism of the Mandible in Coastal Karnataka and Kerala Populations using Cone Beam Computed Tomography

2021 ◽  
Author(s):  
Kumuda Rao ◽  
Mahabalesh Shetty ◽  
U. S. Krishna Nayak ◽  
G. Subhas Babu ◽  
D. Prashanth Shetty ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Sexual Dimorphism ◽  
Cone Beam Computed Tomography ◽  
The Body ◽  
Anthropometric Measurements ◽  
Cone Beam ◽  
Categorical Variables ◽  
P Value ◽  
Sample Population ◽  
Computed Tomography Images

Abstract Objective The mandible has been used for sex determination and forensic identification due to its unique anatomy and morphology. Every part of the mandible is unique, including the shape and size of the temperomandibular joint, the ramus, the body and the symphysis region, and the inferior alveolar canal. In addition, the position and placement of the teeth within their sockets are unique for every individual. Sample Population A study was conducted on 20 males and females to estimate sexual dimorphism using anthropometric measurements obtained by cone beam computed tomography images of the mandible of Karnataka and Kerala populations. Materials and Methods The mean, standard deviation, and standard error along with the confidence interval of different measurements were documented. Various measurements between the sexes were compared using Student's t-test. Association between categorical variables was analyzed using the Chi-square test. A p-value < 0.05 was considered to be statistically significant. Data were analyzed using statistical SPSS software. Results The p-value of mRBr L, GA L, and GA R among females was significantly higher in the Karnataka population when compared with that in the Kerala population. The Karnataka State population showed significantly higher values of RL R, BiGBr, and BiCBr among males, and the p-value of the Kerala population for GGL L and GGL R was significant and higher among the males. Conclusion The data derived from the above study suggest that the mandibular anthropometric measurements used may be applied for forensic sex estimation.

Prediction of the skeletal medio-lateral dimension using non-invasive anthropometric measurements for the provision of ischial containment sockets: A pilot study

2013 ◽  
Vol 38 (2) ◽  
pp. 133-139 ◽  
Author(s):  
Michael P Dillon ◽  
Stefan Laux ◽  
Richard GD Fernandez
Keyword(s):  
Computed Tomography ◽  
Pilot Study ◽  
Regression Model ◽  
Input Data ◽  
Anthropometric Measurements ◽  
Cross Sectional ◽  
Lateral Dimension ◽  
Independent Variables ◽  
Non Invasive ◽  
Computed Tomography Scans

Background:Great emphasis is placed on the skeletal medio-lateral to maintain the normal adduction of the remnant femur and to ensure coronal plane stability in an ischial containment socket. Given the invasiveness of the skeletal medio-lateral measurement, an alternative approach using prediction based on non-invasive measures would be welcomed.Objectives:Determine the accuracy with which the skeletal medio-lateral dimension could be predicted using sex, stature, anterior–posterior dimension and iliofemoral angle.Study design:Cross-sectional.Method:Anthropometric measurements on 77 persons were recorded and used as input data into a standard multiple regression.Results:The regression model explained 59% of the variance in skeletal medio-lateral ( r2= 0.59) that was statistically significant ( F(4, 72) = 25.37, p = 0.000). Only sex contributed significantly to the prediction of skeletal medio-lateral ( β = 0.67, t = 6.15, p = 0.00). The degree of error associated with the regression model (sum of squared errors = 0.009) indicated that the actual skeletal medio-lateral could be predicted within ±18 mm in 95% of the cases.Conclusion:The regression model is not sufficiently accurate to predict skeletal medio-lateral for clinical purposes. Accuracy of the prediction could be improved with more accurate input data from computed tomography scans and use of other independent variables that explain the unique variance not already described by the participants’ sex.Clinical relevanceThis pilot study demonstrates potential for the skeletal medio-lateral to be predicted using non-invasive anthropometric measurements. Given this proof of concept, future investigators should use more accurate input data from computed tomography scans and identify alternative independent variables that explain the variance in the skeletal medio-lateral not attributable to sex.

Computed tomography scans of intra-abdominal fat, anthropometric measurements, and 3 nonobese metabolic risk factors

Metabolism ◽  
2006 ◽  
Vol 55 (10) ◽  
pp. 1337-1343 ◽  
Author(s):  
Finn E. von Eyben ◽  
Ejvind Mouritsen ◽  
Jan Holm ◽  
Georg Dimcevski ◽  
Paulius Montvilas ◽  
...  
Keyword(s):  
Risk Factors ◽  
Computed Tomography ◽  
Abdominal Fat ◽  
Anthropometric Measurements ◽  
Metabolic Risk Factors ◽  
Metabolic Risk ◽  
Computed Tomography Scans

scholarly journals Anthropometric measurements of the orbita and gender prediction with three-dimensional computed tomography images

2014 ◽  
Vol 73 (2) ◽  
pp. 149-152 ◽  
Author(s):  
V. Kaplanoglu ◽  
H. Kaplanoglu ◽  
U. Toprak ◽  
İ. S. Parlak ◽  
İ. G. Tatar ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Three Dimensional ◽  
Anthropometric Measurements ◽  
Computed Tomography Images ◽  
And Gender
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