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Journal of Forensic Science & Criminology

ISSN: 2348-9804

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Humeral Length Estimation: Retrospective Radiological and Anthropometric Investigation

Received Date: January 08, 2021 Accepted Date: April 14, 2021 Published Date: April 16, 2021

Copyright: © 2021 Elijah SO. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Abstract

Researchers have made it possible to estimate the length of bones from their fragments in recent times; therefore, the stature can be estimated from the length of the bones so derived. The length of long bones has been the major means through which stature estimates were made. This study aimed to compare the length estimates of the humerus from anatomical landmarks (variables) on the bone and x-ray radiographs of humerus in adult Nigerians. 600 bones and 600 radiographs obtained from Anatomy museums and hospitals in the six geo-political zones of Nigeria were measured. The variables were regressed against the maximum length of humerus and all correlated positively. No significant difference in the mean value was found between bones and radiographs from these measurements. The differences in mean for all variables were seen to be significantly higher for males compared to females with the best predictor of length being the bi-epicondylar width. This finding is useful to anatomist, forensic anthropologist, archeologist and medico-legal cases for the identification of unknown body remains.

Keywords:Humerus; Radiographs; Regression; LengthMaterials

Introduction

Estimating the human body height is generally based on two distinct standardized methods: the anatomical method, which often requires the presence of a complete skeleton, or the mathematical method, which on the other hand requires a complete bone and utilizes a set of regression formulae with or without multiplication factors to estimate the stature based on the correlation of individual measurements from annotated landmarks on bones [1]. Reports have established that a linear relationship exists between body height and various human body parts and also between body height and human bones [2-8]. The accuracy of estimating body height is higher when undamaged long bones of known sex and ethnic identity are available [9]. Equations based on measurements of long bones in the limbs using the Trotter and Gleser, (1958) [10] formulae are the most widely used amongst anatomists, anthropologists and forensic scientists. These formulae allow for standard error of estimate of approximately 3 to 5 cm for living stature [9].

However, a complete skeleton or an intact long bone may not be available when bodies are grossly dismembered or mutilated in wars, mass fatalities, and crimes. Therefore, the need to proffer a more practical and achievable alternative is to develop new standards that utilize different parts of the human skeletal remains. The estimation of length from the fragmentary remains found in a forensic or archeological investigation is an important step towards the identification of the deceased [11,12]. Forensic investigators have been faced with different fragmentary body parts due to increased natural and man-made disasters [10]. It is therefore important to put in place different means of identifying the individual where such occur.

Genetic differences between populations have made the use of same monogram for different populations erroneous [13]. Forensic anthropologists have put forward means to estimate the biological profiles of age, sex, race and stature from bones [14]. This study investigated the possibility of humeral length estimates using radiologic and anthropometric landmarks.

Materials and Methods

Six hundred humeri pooled from Anatomical Museums and X-ray radiographs from Hospitals within the six geo-political zones (Northeast, Northwest, North central, Southeast, Southwest and South-south) of Nigeria were utilized. As inclusion criteria, all samples were assessed to eliminate obvious pathological damages or inabilities to locate and identify landmarks. Only firmly and fully ossified bones were included. Radiographs used were carefully selected and only the samples that showed the entire length of the bone with clear image in the anterior-posterior view and without trauma were used.

On the samples, a digital vernier caliper calibrated to 0.1 mm was used for measuring small dimension; an anthropometric board calibrated to 0.1 cm was used for taking full length measures and an anthropometric tape calibrated to 0.1 cm was used for taking circumferential measures; while on the x-ray radiographs, a transparent ruler calibrated to 0.1 cm was used for all measurements taken. Bones collected were sex pooled but identified and separated into right and left.

Radiograph samples were separated as either belonging to male or female and then into rights and left. All samples were marked to avoid mix up and repetition. Only antero-posterior radiographs of this bone were used, hence only landmarks that were readable on these radiographs were measured. To eliminate bias, the same measurements were verified from 30 randomly selected samples by two evaluators, the examiner and the recorder using the same unit and instrument and technical error of measurements were calculated. The landmarks used in the study were as follows:

Measurements from Humerus (Figure 1)

i. The maximum length of the humerus (MHL) was measured from the most proximal point on the head of the humerus to the most distal point on the trochlea.
ii. The vertical diameter of the superior articular surface (SASD) was measured as the maximum distance between two points on the head of the humerus, in the plane of the tip of greater tuberosity.
iii. Surgical neck circumference (SNC): was measured as the distance round the surgical neck of the humerus.
iv. Diameter of surgical neck (DSN): was measured as the maximum distance between two points on the surgical neck of the humerus, in the plane of the tip of greater tuberosity.
v. Mid shaft diameter (MSD): was measured as the transverse diameter at the level of the deltoid tuberosity.
vi. Olecranon vertical diameter (OVD): was measured as the distance between the most distal point and the most proximal point along the edge of the fossa olecrani.
vii. Olecranon transverse diameter (OTD): was measured as the distance between the most medial point and the most lateral point along the edge of the fossa olecrani.
viii. The inferior articular surface diameter (IASD): was measured as the maximum combined width of the trochlea and the capitulum at the anterior surface.
ix. Transverse trochlea diameter (TTD): was measured as the distance between the medial and lateral ends of the trochlea.
x. The biepicondylar width (BEW): was measured as the maximum distance between the medial and the lateral epicondyles [15,16].

Measurements on the X-ray Radiograph of Humerus (Figure 2)

i. The maximum length of the humerus (MLH): was measured as the straight distance from the proximal point on the head of the humerus to the most distal point on the trochlea.
ii. The diameter of the superior articular surface (SASD): was measured as the maximum distance between two points on the head of the humerus, in the plane of the tip of greater tuberosity.
iii. Diameter of surgical neck (DSN): was measured as the maximum distance between two points on the surgical neck of the humerus, in the plane of the tip of greater tuberosity.
iv. Mid shaft diameter (MSD): was measured as the transverse diameter at the level of the deltoid tuberosity.
v. The biepicondylar width (BEW): was measured as the maximum distance between the medial and the lateral epicondyles.

Statistical Analysis

The intra- and inter- observer technical error of measurement (TEM) of the anthropometric readings were calculated using [TEM = {√ΣD2/2N}, where D = difference between the measurements, N = number of samples measured] and the coefficient of reliability was also calculated using [R = {1 - (TEM)2/SD2} where SD = standard deviation of all measurements], values of R ≥ 0.95 were regarded as reliable [17,18]. The mean, standard deviation, minimum, maximum and standard error were determined.

Comparisons between the right and left variables were performed using Student’s T-test. Pearson’s correlation coefficient was carried out to assess the relationship between the variables and length. Regression analysis was undertaken to find the variables that relate to length and for estimating length from the significant variables using equations. After excluding highly correlated variables using a stepwise method, multivariate regression equations were derived and the most suitable variable for predicting length was determined using the highly correlated variables. Analysis was done using SPSS (version 21) statistical package and values at p < 0.05 were regarded as significant.

Ethical Clearance

Compliance with institutional rules with respect to human experimental research and ethics were strictly adhered to in the course of this study. Written approval was obtained from the Human Research Ethics Committee, University of Abuja Teaching Hospital with reference number FCT/UATH/HREC/1085.

Results

Table 1 show the technical error of measurements (TEM) for the bones and radiographs of humerus. The values of R > 0.95 were regarded as significant. The mean length of the right humerus was 32.73 ± 1.94 cm; the mean for left humerus was 32.80 ± 2.32 cm and the combined right and left humeri had the mean length of 32.77 ± 2.14 cm. No significant difference in the mean length was found between the right, left and the combined humeri from bones. All the variables correlated with the length of the humerus except the mid-shaft diameter and olecranon vertical diameter on the left (Table 2).

Multivariate linear regression equations to identify the parameters that best predict the length of humerus were derived as follows:
Right = 15.697+2.594SASD+0.892MSD+0.684BEW
Left = 14.609+1.817SNC+1.103OTD+1.525BEW
Combined = 15.660+1.364SNC+1.414OTD+1.404BEW

Using x-ray radiographs, the mean length of the male right humerus was 33.65 ± 1.81cm and 31.67 ± 1.58 cm for females. The mean length for the males left humerus was 33.63 ± 1.93 cm and 31.68 ± 1.70 cm for females. When right and left were combined, the mean length was 33.64 ± 1.87 cm for males and 31.67 ± 1.64 cm for females. No significant difference in the mean length was found between the right, left and combined humeri though males showed higher humeral mean length compared to their female counterparts (Figure 3).

In both males and females on the right, all variables correlated with the length of humerus except the diameter at surgical neck. On the left, only the biepicondyle width correlated with the length in males. In females, all variables correlated with the length except the diameter at surgical neck. When the right and left variables were combined, the diameter at mid-shaft and the biepicondyle width correlated with the length of humerus in males while all the variables correlated with the length of humerus in females (Table 3) (Figure 4).

Multivariate linear regression equations to identify the parameters that best predict the length of male humerus using radiographs were as follows:
Right = 19.667+2.674SASD+1.126MSD
Left = 28.009+0.946BEW
Combined = 27.699+1.122BEW

Multivariate linear regression equations to identify the parameters that best predict the length of female humerus using radiographs were as follows:
Right = 17.331+2.747SASD+0.537BEW
Left = 23.999+1.051BEW
Combined = 21.668+1.402SASD+0.744BEW

When all data obtained from radiographs were combined irrespective of side or sex, the mean length of humerus was 32.74 ± 2.02 cm and all the measured variables correlated with the length of humerus (Table 4) (Figure 5). Multivariate linear regression equation to identify the parameter that best predict the length of humerus when all the radiographs were combined irrespective of sides or sex was: L= 23.258+0.654MSD+1.968BEW

Discussion

This finding is in agreement with the report of Esomonu et al, (2013) [15] of northern Nigerian population. A study of the Munich and Cologne populations reported a similar humeral mean length in both males and females and also indicates a gender difference [12]. However, a Southern Nigerian population study [19] and a study of Maharashtra population [20] reported a lower humeral mean length.

The variables that best predict the length of the humerus from bones on the right side were the superior articular surface diameter, the mid-shaft diameter and the biepicondyler width. The surgical neck circumference, the olecranon transverse diameter and the biepicondyler width were the best predictors on the left side and when the right and left were combined. However, Esomonu et al, (2013) [15] reported the best predictor of humeral length was the anatomical neck circumference on the right and when the humeral variables from the right and left were combined. But on the left, the anatomical neck circumfrence and the distance between the proximal edge of the fossa olecrani and the most distal point of trochlea humeri were the best predictors of humeral length. Although the surgical neck circumference was found to be a significant parameter for estimating humeral length, the present study found the biepicondylar width (BEW) to be a better predictor of humeral length (Table 5).

Conclusion

These findings reveal strong correlations between the various parameters taken from the bones and x-ray radiographs and the length of humerus. In forensic cases where a fragment of the bone is found, comparing the results of its estimate with that froman anti-mortem x-ray radiograph may reveal the likely identity of the individual. Therefore, this finding can be applicable for the identification of unknown body remains.

1Agnihotri AK, Agnihotri S, Jeebun N, Googoolye K (2008) Prediction of stature using hand dimensions. J Forensic Leg Med 15: 479-82.
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3Rastogi P, Nagesh KR, Yoganarasimha K (2008) Estimation of stature from hand dimensions of north and south Indians. J Leg Med (Tokyo) 10: 185-9.
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7Pininski M, Brits D (2014) Estimating stature in South African populations using various measures of the sacrum. Forensic Sci Inter 234: 1-7.
8Torimitsu S, Makino Y, Saitoh H, Ishii N, Hayakawa M, et al. (2014) Stature estimation in Japanese cadavers using the sacral and coccygeal length measured with multidetector computed tomography. J Leg Med (Tokyo) 16: 14-9.
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14Oluwatosin OO, Sunday AA, Omobola AK, Aung KZ, Edwin CSN, et al. (2017) Sex determination using humeral dimensions in a sample from KwaZulu-Natal: an osteometric study. J Anat Cell Bio 50: 180-7.
15 Esomonu UG, Taura MG, Ibeabuchi NM, Modibbo MH (2013) Regression equation for estimation of length of humerus from its morphometry in a Nigerian population. Nig Quat J Hosp Med 23: 23-6.
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19Ebeye OA (2013) Stature estimation from upper extremity long bones in a southern nigerian population. Aust J Bas Appl Sci 7: 400-3.
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Journal of Forensic Science & Criminology

Tables at a glance
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Table 1
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Table 2
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Table 3
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Table 4
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Table 5
Figures at a glance
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Figure 1
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Figure 2
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Figure 3
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Figure 4
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Figure 5

Figure 1: Diagram of the Humerus. Source: Computed by researcher

AB = Maximum length of humerus (MLH); AC = Superior articular surface diameter (SASD); DE = Diameter of surgical neck (DSN); FE = Mid-shaft diameter (MSD) and HI = Biepicondylar width (BEW)
Figure 2: Radiograph image of the Humerus. Source: Computed by researcher

Figure 3: Line graph of Maximum length of humerus (MLH) against Superior articular surface diameter (SASD)

Figure 4: Line graph of Maximum length of humerus (MLH) against Mid-shaft diameter (MSD)

Figure 5: Line graph of Maximum length of humerus (MLH) against Biepicondylar width (BEW)

 

Intra-observer error

Inter-observer error

S/N

Variable

TEM (b)

(r)

R (b)

(r)

TEM (b)

(r)

R (b)

(r)

1.

MLH

0.30

0.318

0.98

0.98

0.30

0.318

0.98

0.98

2.

SASD

0.08

0.077

0.98

0.98

0.08

0.077

0.98

0.98

3.

SNC

0.13

-

0.98

-

0.13

-

0.98

-

4.

DSN

0.07

0.055

0.98

0.98

0.07

0.055

0.98

0.98

5.

MSD

0.03

0.032

0.99

0.98

0.03

0.032

0.99

0.98

6.

OVD

0.05

-

0.98

-

0.05

-

0.98

-

7.

OTD

0.06

-

0.98

-

0.06

-

0.98

-

8.

IASD

0.08

-

0.98

-

0.08

-

0.98

-

9.

TTD

0.05

-

0.98

-

0.05

-

0.98

-

10.

BEW

0.10

0.114

0.98

0.98

0.10

0.114

0.98

0.98

TEM = Technical error of measurement; R = Coefficient of reliability; (b) = Bones; (r) = Radiographs; Number of samples used = 30
Table 1: Technical Error from the Measurement of Humeral parameters using bones and radiographs

 

Right     N = 300

Left      N = 300

Combined N = 600

S/N

Variab

C

SE

Mean ± SD

M

P-value

C

SE

Mean ± SD

M

P-value

C

SE

Mean ± SD

M

P-value

 

MLH

 

 

32.73 ± 1.94

 

 

 

 

32.81± 2.32

 

 

 

 

32.77±2.14

 

 

1.

SASD

17.52

0.02

4.23 ± 0.33

3.59

0.000*

27.58

0.03

4.15 ± 1.26

1.26

0.000*

24.18

0.02

4.19 ± 0.40

2.05

0.000*

2.

SNC

24.44

0.04

7.90 ± 0.75

1.05

0.000*

21.27

0.04

8.11 ± 0.71

1.42

0.000*

23.10

0.03

8.00 ± 0.73

1.21

0.000*

3.

DSN

30.67

0.02

2.64 ± 0.42

0.78

0.003*

31.35

0.03

2.67 ± 0.51

0.55

0.037*

31.06

0.02

2.66 ± 0.47

0.64

0.001*

4.

MSD

28.86

0.02

2.06 ± 0.32

1.88

0.000*

31.47

0.02

2.01 ± 0.38

0.66

0.059

30.42

0.01

2.04 ± 0.35

1.16

0.000*

5.

OVD

31.10

0.02

1.81 ± 0.31

0.90

0.013*

31.99

0.02

1.77 ± 0.38

0.46

0.188

31.65

0.01

1.79 ± 0.35

0.62

0.013*

6.

OTD

29.74

0.02

2.53 ± 0.36

1.18

0.000*

30.81

0.03

2.51 ± 0.47

0.80

0.006*

30.40

0.01

2.52 ± 0.42

0.94

0.000*

7.

IASD

25.01

0.02

3.81 ± 0.41

2.03

0.000*

28.55

0.03

3.89 ± 1.80

1.12

0.000*

26.94

0.02

3.80± 0.43

1.54

0.000*

8.

TTD

32.10

0.02

2.24 ± 0.35

0.73

0.022*

31.10

0.02

2.25 ± 0.39

0.76

0.028*

31.10

0.15

2.25± 0.37

0.75

0.001*

9

BEW

23.35

0.03

5.89 ± 0.56

1.59

0.000*

23.92

0.03

5.84 ± 0.55

1.52

0.000*

23.67

0.02

5.87 ± 0.55

1.55

0.000*

N = number of samples; C = regression constant; SE = standard error; SD = standard deviation; M = coefficient of regression; * = significant at p < 0.05; Unit = cm
Table 2: Descriptive statistics and univariate analysis of the different parameters correlated with length of humerus

 

Male right, N = 162

Male left, N = 162

Combined N = 324

S/N

Variab

C

SE

Mean ± SD

M

P-value

C

SE

Mean ± SD

M

P-value

C

SE

Mean ± SD

M

P-value

 

MLH

 

 

33.65± 1.81

 

 

 

 

33.63± 1.93

 

 

 

 

33.64± 1.87

 

 

1.

SASD

21.18

0.03

4.34 ± 0.32

2.88

0.000*

33.57

0.27

4.45 ± 3.40

0.01

0.748

33.46

0.13

4.39 ± 2.41

0.04

0.356

2.

DSN

33.11

0.03

2.72 ± 0.41

0.20

0.578

32.88

0.05

2.67 ± 0.57

0.28

0.290

32.96

0.03

2.69 ± 0.50

0.25

0.227

3.

MSD

30.01

0.02

2.12 ± 0.29

1.71

0.000*

33.20

0.03

2.01 ± 0.43

0.22

0.544

32.24

0.02

2.06 ± 0.37

0.68

0.016*

4.

BEW

27.60

0.05

6.03 ± 0.57

1.00

0.000*

28.01

0.04

5.95 ± 0.56

0.95

0.000*

27.83

0.03

5.99 ± 0.57

0.97

0.000*

 

 

Female Right, N = 138

Female Left, N = 138

Combined N = 276

 

MLH

 

 

31.67± 1.58

 

 

 

 

31.68± 1.70

 

 

 

 

31.67±1.64

 

 

1.

SASD

18.18

0.03

4.10 ± 0.31

3.29

0.000*

25.70

0.03

4.10 ± 0.40

1.46

0.000*

22.86

0.02

4.10± 0.36

2.15

0.000*

2.

DSN

30.35

0.04

2.55 ± 0.42

0.52

0.111

29.99

0.04

2.67 ± 0.43

0.63

0.060

30.20

0.03

2.61 ± 0.43

0.57

0.014*

3.

MSD

29.77

0.03

1.99 ± 0.33

0.96

0.018*

29.49

0.03

2.01 ± 0.32

1.09

0.017*

29.64

0.02

2.00 ± 0.32

1.02

0.001*

4.

BEW

22.44

0.04

5.72 ± 0.50

1.61

0.000*

24.23

0.04

5.73 ± 0.51

1.30

0.000*

23.36

0.03

5.72 ± 0.50

1.45

0.000*

N = number of samples; C = regression constant; SE = standard error; SD = standard deviation; M = coefficient of regression and * = significant at p < 0.05 level; Unit = cm
Table 3: Descriptive statistics and univariate analysis of the different parameters correlated with the length of male/female humerus using radiographs

S/N

Variables

Min.

Max.

Mean ± SD

C

SE

M

P-value

1.

MLH

26.20

43.00

32.74 ± 2.02

-

-

-

-

2.

SASD

2.80

47.00

4.26 ± 1.79

32.22

0.07

0.12

0.008*

3.

DSN

1.20

3.80

2.66 ± 0.47

31.26

0.02

0.55

0.002*

4.

MSD

1.00

3.50

2.04 ± 0.35

30.59

0.01

1.05

0.000*

5.

BEW

4.20

8.10

5.87 ± 0.55

23.80

0.02

1.52

0.000*

Number of samples = 600; Min. = Minimum; Max. = Maximum; SD = standard deviation; C = regression constant; SE = standard error; M = coefficient of regression and * = significant at p < 0.05; Unit = cm
Table 4: Descriptive statistics and univariate analysis of humeral parameters using radiographs irrespective of side or sex

References

Population

Unit (cm)

Unit (cm)

Unit (cm)

Best parameter for predicting length of humerus

Mall et al. (2001)

Munich and Cologne

Males
33.40 cm

Females
30.70 cm

Nil

Nil

Ebeye (2013)

Southern Nigerian

Males
31.12 cm

Females
28.81 cm

Nil

Nil

Esomonu et al., (2013).

Northern Nigerian

Right bones
31.4 cm

Left bones
31.3 cm

Combined right and left bones
31.3 cm

Nil

Borkar, (2014)

Maharashtra Males

Right
30.98 cm

Left
30.92 cm

Nil

Nil

 

Females

28.27 cm

28.12 cm

 

 

 

 

This study

Nigerians Bones

Right
32.73 cm

Left
32.80 cm

Combined right and left
32.77 cm

BEW

Males radiographs

Right
33.65 cm

Left
33.63 cm

Combined right and left
33.64 cm

BEW

Females radiographs

Right
31.67 cm

Left
31.68 cm

Combined right and left
31.67 cm

BEW

All Radiographs Samples

males, females, Right and left

32.74 cm

BEW

Table 5: Mean humeral length in different populations