| Title |
Stature estimation based on femoral measurements in the modern Japanese population: a cadaveric study using multidetector computed tomography
|
|---|---|
| Published in |
International Journal of Legal Medicine, April 2018
|
| DOI | 10.1007/s00414-018-1834-4 |
| Pubmed ID | |
| Authors |
Fumiko Chiba, Yohsuke Makino, Suguru Torimitsu, Ayumi Motomura, Go Inokuchi, Namiko Ishii, Yumi Hoshioka, Hiroko Abe, Rutsuko Yamaguchi, Ayaka Sakuma, Sayaka Nagasawa, Hisako Saito, Daisuke Yajima, Yuta Fukui, Hirotaro Iwase |
| Abstract |
We aimed to reproduce the anthropometrical measurement of femoral dimensions using multi-planar reconstruction computed tomography (CT), assess the correlation between stature and femoral measurements obtained by this approach, and establish a regression equation for estimating stature in the modern Japanese population. We used data regarding 224 cadavers (116 males, 108 females) that were subjected to postmortem CT and subsequent forensic autopsy at our department between October 2009 and July 2016. To simulate the placement of the femur on the osteometric board using reconstructed CT images, we defined a virtual horizontal plane (VHP) based on the three most dorsal points of the femur (lateral condyle, medial condyle, and greater trochanter). Five femoral measurements including the maximum femoral length (MFL) were obtained. The correlations between stature and each femoral measurement were expressed in terms of the coefficient of determination (R2). On regression analysis, MFL provided the lowest value for the standard error of the estimation (SEE); the SEE values in all subjects, males, and females, respectively, were 3.783 cm (R2 = 0.832), 3.850 cm (R2 = 0.653), and 3.340 cm (R2 = 0.760) for MFL on the left side and 3.747 cm (R2 = 0.835), 3.847 cm (R2 = 0.650), and 3.290 cm (R2 = 0.687) for MFL on the right side. Multiple regression equations using MFL and femoral epicondylar breadth were slightly superior to simple regression equations in males and in all subjects (SEE = 3.44-3.55 cm), whereas no effective equation could be obtained in females. To our knowledge, this is the first multiple regression equation for stature estimation using only femoral measurements. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 13% |
| Student > Master | 3 | 10% |
| Professor > Associate Professor | 3 | 10% |
| Researcher | 3 | 10% |
| Student > Ph. D. Student | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 14 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 23% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Agricultural and Biological Sciences | 2 | 6% |
| Nursing and Health Professions | 1 | 3% |
| Sports and Recreations | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 15 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 August 2018.
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#15,504,780
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Outputs from International Journal of Legal Medicine
#974
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#209,868
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Outputs of similar age from International Journal of Legal Medicine
#22
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