Purpose
Together with sex,
age and race,
height is one of the biological characteristics that can be evaluated from the skeleton,
even many years after death.
For this reason stature determination represents one of the most important features in anthropometric and medical investigations.
Stature has a biological proportional correlation with other parts of the human body (head,
trunk,
arms); this helps the forensic scientist to establish height on the basis of skeletal remains.
The aim of this preliminary in vivo study was to look for a...
Methods and Materials
Materials:
We collected a sample of 200 Caucasian patients (100 males; 100 females) who were enrolled for CT evaluation for restaging of oncological diseases from March 2009 to July 2011.
Mean age was 64.5 years (SD +/- 12.7).
Our exclusion criteria were non Caucasian origins; skull,
vertebral,
pelvis or lower limb fractures; bone tumors; vitamin deficiencies; metabolic-endocrinological diseases; milk intolerance; growth disorders and severe osteoporosis (T-score <2.5).
Images were acquired using a 64-slice CT scanner.
A topogram of 1520 mm was carried out from clavicles...
Results
Descriptive statistics
Mean and standard deviation (SD) were obtained for each variable and a comparison between male and female mean values of all the anatomic variables was performed using the t-test and considering p = <0.01 significant (Table 1).
Only the maximum length of the frontal sinus (FsHt) does not show a significant difference between male and female populations (p-value=0.081).
Single regression analysis
Figure 3 shows the correlations between stature and bone length,
for the three measurements with the highest correlation coefficients: femoral length (considered...
Conclusion
All the measured parameters showed a statistically significant difference between male and female subjects (p value < 0.001) except for frontal sinus height (p value = 0.081); femoral length had a greater correlation (R = 0.71) with height than any other skull diameter.
Femur and skull can be used for stature estimation; in our sample femoral length was found to have the best correlation with height.
he=35.7+1.48·BaN+2.32·BaNB+2.53·FEM and he=3.06·FEM+72.6 are the formulae that provide the most accurate stature assessment using single and multiple regression analysis...
References
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Cordeiro C,
Muñoz-Barús JI,
Predicting adult stature from metatarsal length in a Portuguese population,
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Knussmann R,
Sperwien A,
Relations between anthropometric characteristics and androgen hormone levels in healthy young men,
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15 (2) (1988) 131–142.
3.
Agnihotri AK,
Kachhwaha S,
Googoolye K,
Allock A,
Estimation of stature from cephalo-facial dimensions by regression analysis in Indo-Mauritian population,
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of Forensic and Legal Medicine 18 (2011) 167-172.
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Lin LI,
A concordance coefficient to evaluate reproducibility,
Biometrics...
Personal Information
F.
Giurazza,
R.
Del Vescovo,
R.
L.
Cazzato,
S.
Battisti,
F.
D'Agostino,
R.
F.
Grasso B.
Beomonte Zobel.
Department of Radiology,
Università Campus Bio-Medico di Roma,
Via Alvaro Del Portillo 200,
00100,
Roma,
Italy.
mail to:
[email protected]