2 research outputs found
Evaluation and Categorization of Femur Morphometry with Digital Measurement Method
BACKGROUND
Variational differences of the femur between populations like clinical,
anthropological and forensic anthropology are important. These morphometric
differences are influenced by factors such as race, heredity, climate and diet.
METHODS
With the descriptive and cross-sectional design of this study, we aimed to
investigate the femur morphometry with digital image analysis program. In this
study, 105 femur bones belonging to Cukurova University, Medicine Faculty,
Anatomy Department, were used. This study which has a descriptive and crosssectional design, was carried out in April 2018. For statistical analysis, "Statistical
Package for Social Sciences for Windows 20.0" program was used.
RESULTS
The mean and standard deviation values of the parameters measured in femur were
as follows- maximum femur length 431.42±36.2, physiological femur length
428±36.15, physiological trochanter length 403.3±34.3, anterior, posterior, superior
and inferior aspects of collum femoris length 28±5.30, 25.5±5.4, 26.2±5.4, 39±7.5,
caput femoris diameter 44±4, collum femoris width 34.2±7.15, collum femoris axis
length 95.2±10, transverse and sagittal aspects of subtrochanteric diameter 30±3,
25.01±3, linea intertrochanterica length 68.1±8.22, transverse and sagittal aspects
of mid-body diameter 27.03±3, 27.22±3, maximum proximal and distal width
86.1±13, 76.3±8, intercondylar width and depth 18.3±3.32, 25±4, condylar width
and depth were 70.14±7.2, 57.4±7, midbody circumference was 85.5±9.03 mm. The
mean weight of the femur was determined as 292.4±68.04 gr. Robustness,
platymeria, pilastric, intercondylar width and depth indexes were calculated.
Averages values of these indexes respectively were 13±2, 84.15±10, 101.22±10.4,
0.3±0.04, 0.43±0.05.
CONCLUSIONS
Although the mean morphometric data of the right femurs obtained from our study
were higher than the left femurs, there was no significant difference (p> 0.05);
There was a statistically significant difference between the right and left femurs in
the intercondylar depth average (p <0.05). When the studies in the literature were
compared with our results, it was found that the nearest average values were the
maximum femur length and physiological femur length. Studies suggest that
differences in femur geometry may be caused by race-dependent characteristics.
The anatomical structure and morphometric measurements of the femur are
clinically important for femoral fractures and pathologies. In addition, the data
obtained from this study will be used by anthropologists for various determinations
in the field of forensic medicine. We think that the results of our study will help
clinicians in surgical interventions
Anthropometric Evaluation of Cranial Indexes
Introduction: Craniometric measurements are used in
anatomy, anthropometry and surgical fields, especially in
maxillofacial and plastic surgery. The aim of this study was to
investigate the cranial index values anthropometrically and to
contribute to the literature data.
Material and methods: For this purpose, 30 cranium
bones with unknown age and gender belonging to Anatomy
Department, Faculty of Medicine and University of Cukurova
were used.
Results: In this study, maximum cranial width, maximum
cranial length, bizygomatic width, cranial height, upper face
height and minimum frontal width were measured. The mean
and standard deviation values of the measured values are;
139.15 ± 9.89, 172.20 ± 7.90, 125.24 ± 9.47, 126.07 ± 6.23,
65.07 ± 5.40, 95.33 ± 5.09 mm, respectively. By using these
values, cranial index, transverse cranio - facial index, cranial
height - width index, cranial height - length index, upper facial
index and fronto - parietal index values were calculated. The
mean and standard deviation of index values are 81.59 ± 5.60,
90.21 ± 6.69, 92.30 ± 6.16, 73.73 ± 3.79, 52.61 ± 5.52, 68.76
± 4.86 mm, respectively.
Conclusions: The results of our study were classified and
compared with the studies performed in different populations.
We believe that the obtained data will contribute to the
research and literature data in clinical areas