- Original Article
- Open Access
The analysis of sacrum and coccyx length measured with computerized tomography images depending on sex
Egyptian Journal of Forensic Sciences volume 11, Article number: 14 (2021)
Sex estimation is vital in establishing an accurate biological profile from the human skeleton, as sex influences the analysis of other elements in both Physical and Forensic Anthropology and Legal Medicine. The present study was conducted to analyze the sex differences between the sacrum and coccyx length based on the measurements calculated with computed tomography (CT) images. One hundred case images (50 females, 50 males) who were between the ages of 25 and 50 and admitted by the emergency department between September 2018 and June 2019 and underwent CT were included in the study. Eighteen lengths, 4 curvature lengths, and 2 regions were measured in sagittal, coronal and transverse planes with orthogonal adjustment for three times.
It was stated that the mean anterior and posterior sacral length, anterior and posterior sacrococcygeal length, anterior and posterior sacral curvature length, anterior coccygeal curvature length, sacral area, lengths of transverse lines 1, 2, 3 and 4, sacral first vertebra transverse and sagittal length measurements were longer in males when compared to females (p < 0.05). It was noted that the parameter with the highest discrimination value in the receiver operating characteristic (ROC) analysis was the sacral area (AUC = 0.88/Acc = 0.82). Based on Fisher’s linear discriminant analysis findings, the discrimination rate was 96% for males, 92% for females and the overall discrimination rate was 94%.
It was concluded that the fourteen parameters that were indicated as significant in the present study could be used in anthropology, Forensic Medicine and Anatomy to predict sex.
Eighteen lengths, 4 curvature lengths and 2 regions were measured in sagittal, coronal and transverse planes with orthogonal adjustment for three times.
The sacrum and coccyx are used for sex identification.
The sacral area was greater in males.
The total rate of Fisher’s linear discriminant analysis is 0.94.
One of the most important problems faced by Forensic Medicine specialists is the estimation of biological identity depending on the skeletal remains of an unidentified individual (Singh and Pathak 2013; Torimitsu et al. 2018). The ancestry, sex, age, and height of the individual should be known to determine the biological identity in Forensic Medicine and Archeology (Chiba et al. 2018; Karakas et al. 2011). The estimation of the sex is the first step (Gaya-Sancho et al. 2018; Torimitsu et al. 2017; Zhan et al. 2018). Osteometry standards vary depending on parameters such as genetics, environmental factors, and sex dimorphism associated with the profession and lifestyle in the estimation of the sex. Generally, female bones and body size are known to be smaller when compared to males. The degree of the difference may vary within the same population or between populations and could lead to secular variations (Hemy et al. 2013; Macaluso and Lucena 2014; Singh and Pathak 2013; Zhan et al. 2018).
In the literature, various studies were conducted on hand and foot (Case and Ross 2007), tibia (Šlaus et al. 2013), patella (Michiue et al. 2018), femur (Curate et al. 2016), pelvis (Torimitsu et al. 2015), radius and ulna (Issa et al. 2016), scapula and clavicle (Papaioannou et al. 2012), sternum and 4th costa (Ramadan et al. 2010), first cervical vertebra (Marino 1995), second cervical vertebra (Marlow and Pastor 2011), skull (Ekizoglu et al. 2016) bones using different methods. Bones could be damaged, or they could be missing. Thus, it is necessary to identify the sex depending on various bones (Zech et al. 2012).
The accuracy of sex estimation depends on the difference in the analyzed skeletal components between the sexes and the capability of the techniques employed to define the differences in shape and length (Gonzalez et al. 2009). Morphological, metric, geometric morphometric, and probabilistic methods are used in sex estimation. It is easier to analyze and interpret numerical data available with metric methods (Krishan et al. 2016). Metric measurements conducted with computerized tomography (CT) could also be utilized in reconstructive identification, comparative bone, and lesion recognition (Dedouit et al. 2014). It allows systematization and re-evaluation of traditional anthropological methods in Forensic Medicine and provides precise and accurate sex estimation in modern populations. Although the method is expensive, it provides encouraging results since it could be repeated (Grabherr et al. 2009; Krishan et al. 2016).
The present study aimed to specify the correlation between the metric sacrum and coccyx parameters, and their availability for sex estimation with orthogonal plane adjusted CT images, and to compare the findings in different populations.
The study population
The images of individuals who were 25–50 years old during their admission to the emergency department between September 2018 and June 2019 and underwent CT were reviewed. Among these individuals, 100 cases (50F, 50M) with normal CT appearance were selected randomly. Those with significant degenerative diseases, bone pathologies, or surgical history were excluded from the study. The study was approved by the Non-Interventional Clinical Research Ethics Committee on 25/09/2019 with the protocol no: 6/10.
Multidetector computerized tomography (MDCT) protocol
All images were obtained with the CT scans conducted with a 16-slice MDCT scanner (Aquilion 16; Toshiba Medical Systems, Tokyo, Japan). All images were scanned in a supine position at 3 mm slice thickness.
All measurements were conducted on a workstation (Horos, Version 3.3, USA). The axial plane images were analyzed with two and three dimensional reconstructions (Multi Planar Reconstruction-MPR, Maximum Intensity Projection-MIP) using a standard bone window. Images that were focused on the sacrum with standard magnification were adjusted to the orthogonal plane in three planes. Length and area measurements were conducted on the sacrum and coccyx.
In the orthogonal plane, anatomical points are determined in 3 planes, and planes are brought to these points. All parameters are measured with reference to this plane (Oner et al. 2019). The orthogonal plane axes were aligned to pass through the promontory in the sagittal image series, the corpus vertebrae in the coronal image series, and both the vertebral spinous process and the symphysis pubis in the axial image series (Fig. 1). In order to minimize observer errors, measurements were made three times at different times by the same observer, and the arithmetic mean of these three measurements was used in the calculations.
Eighteen length, 4 curvature length, and 2 area measurements were conducted on three planes, to obtain 3 measurements for 24 parameters, and length measurements were recorded in cm and areas in cm2.
Four length, 4 curvature length, and 2 area measurements were conducted on the sagittal plane. These images were adjusted to the orthogonal plane and the measurements were conducted depending on the parameter details presented in Table 1 (Fig. 2).
To observe the anterior sacral foramina clearly in the measurements conducted on the coronal image series, the length measurements were conducted by increasing the MIP after the adjustment to the orthogonal plane (Table 2, Fig. 3).
The measurements were conducted on the axial series with increased MIP to observe the distance between the anterior sacral width (ASW) and the left-right auricular surface (LRFA-S). The sagittal (S1-S) and transverse length (S1-T) measurements of the sacral 1st vertebra measurements were conducted by increasing the section thickness until the most lateral transverse edges of the base of the sacrum were clearly visible, depending on the parameter details presented in Table 3 (Fig. 4).
Data analysis was conducted with Minitab 17 statistics software in the study. The Anderson-Darling, a normality test, was applied for all data. Two sample T test was conducted on data with normal distribution. In the nonparametric analysis method, the Mann-Whitney U test was conducted on data without normal distribution (p ≤ 0.05). Receiver operating characteristic (ROC) analysis was conducted with SPSS 21 to remark the significance of the variables in sex estimation. ROC analysis was used to remark the optimum values for sex estimation. Measurements were observed by an experienced radiologist. Measurements were made by observing 100 cases 3 times at different times. Therefore, technical measurement error (TEM), relative technical measurement error (rTEM), and reliability coefficient (R) were calculated for intraobserver error analysis. Since measurements were observed by a radiologist, the inter-observer error could not be calculated. Calculations are made in Microsoft Excel. The values for the reliability coefficient range from 0 to 1. A reliability coefficient value of below 0 indicates “no reliability,” R value > 0 to < 0.2 is slight reliability, 0.2–< 0.4 is fair reliability, 0.4–< 0.6 is moderate, 0.6–< 0.8 is substantial, and 0.8–1.0 is almost perfect reliability (Jamaiyah et al. 2010; Perini et al. 2005). The overall significance of the variables was determined with Fisher’s linear discriminant analysis (FDA). Discriminant function analysis is one of the most widely used statistical methods in sex estimation studies, which provides an estimation of sex by evaluating two or more variables simultaneously. Wilks lambda values were calculated to determine how well each function classified individuals into male and female groups (Etli et al. 2019). Lambda values highlight different group averages of near-zero values and similar group averages of near-one values (Torimitsu et al. 2017). P values < 0.05 were considered to indicate statistical significance.
The reliability coefficient (R) ranges between 0.71 and 1.00 in intra-observer error analysis (from substantial to perfect). Ratios show that intraobserver error is at an acceptable level. Table 4 shows the results for each variable.
The mean age of the male participants was 40 ± 7.84 and the mean age of female participants was 42.2 ± 7.13. The ages of females and males were analyzed with the Anderson-Darling test and it was demonstrated that the data distribution was normal. Mann Whitney U test findings revealed that there was no significant difference between the mean age of male and female individuals (p > 0.26).
ASL, ASCL, PSCL, ASC, PSC, ACC, LTL-1, LTL-2, LTL-3, IFHR-3, IFHL-2, IFHL-3, S1-T, S1-S, LRFA-S, and ASW parameters were analyzed with the Anderson-Darling test, and it was determined that the data distribution was normal. The two sample T test revealed a significant difference between ASL, PSL, ASCL, PSCL, ASC, PSC, ACC, LTL-1, LTL-2, LTL-3, S1-T, and S1-S parameters depending on sex, and the findings were longer in males when compared to females (p < 0.05). No significant difference was observed between the PCC, IFHR-3, IFHL-2, IFHL-3, LRFA-S, and ASW parameters depending on sex (p > 0.05) (Tables 5 and 6).
PSL, SA, CA, LTL-4, IFHR-1, IFHR-2, and IFHL-1 parameters were analyzed with the Anderson-Darling test, and it was defined that the data were not distributed normally. The Mann-Whitney U test results demonstrated a significant difference between PSL and LTL-4 parameters depending on sex, and it was found that the results were longer in males when compared to females. It was observed that SA was greater in males (p < 0.05). No significant difference was determined between CA, IFHR-1, IFHR-2, and IFHL-1 parameters depending on sex (p> 0.05) (Table 5).
ROC analysis results demonstrated that ASL, PSL, ASCL, PSCL, ASC, PSC, ACC, PCC, SA, CA, LTL-1, LTL-2, LTL-3, LTL-4, IFHR-1, IFHR-2, IFHR-3, IFHL-1, IFHL-2, IFHL-3, LRFA-S, S1-S, S1-T, and ASW parameter values were between 0.5 and 1. It was observed that the highest AUC was for SA (0.88). Thus, the sensitivity (sen) of SA was 0.80, its specificity (spe) was 0.85, and accuracy (acc) was 0.82. The lowest AUC was determined for IFHL-1 (0.51). IFHL-1 sen was 0.42, spe was 0.48, and acc was 0.45 (Tables 7, 8, and 9; Fig. 5).
In Fisher’s linear discriminant analysis conducted with 24 parameters, it has come to the conclusion that the discrimination power for males was 96%, and the discrimination power for females was 92% and total discrimination power was 94% (Tables 10 and 11).
In cross-validation, each state is classified with functions derived from all states except this case. The analysis is therefore performed several times, excluding one person at a time, as a way of determining whether it is well classified. This provides an unbiased estimate of the percentage of individuals who are misclassified (Gonzalez et al. 2009). 90.0% of cross-validated grouped cases were correctly classified (Table 11).
Sex estimation is the key procedure in forensic anthropology (Ubelaker and DeGaglia 2020). When morphological properties change, sex estimation becomes difficult. There is difficulty in sex estimation of missing, damaged, or fragmented remains that may result from mass disasters such as plane accidents, explosions, war, fire, or physical violence (Torimitsu et al. 2015). Osteometric standards regarding sex estimation differed depending on parameters such as genetic, environmental forces, and degree of sexual dimorphism related to profession and lifestyle. This shows that osteometric standards cannot be applied in different samples. In addition, populations can undergo secular changes. It is therefore necessary to create temporary representative skeleton collections for population-specific anthropological standards (Gaya-Sancho et al. 2018; Macaluso and Lucena 2014; Singh and Pathak 2013; Steyn and İşcan 2008; Zhan et al. 2018). Anatomists, forensic medicine specialists, and anthropologists constantly work to develop novel methods to describe the skeleton or to determine more precise identifications depending on different parts of the skeleton (Letterman 1941; Steyn and İşcan 2008; Turan et al. 2019). In cases where long bones, skull, or pelvic integrity are not preserved, sex should be predicted with other dimorphic structures. The sacrum is an important bone since it is both the continuation of the vertebra and the pelvic girdle bones. Thus, the present study was conducted to investigate the sex dimorphism in sacrum and coccyx (Gaya-Sancho et al. 2018; Hegazy 2013; Rusk and Ousley 2016; Torimitsu et al. 2015; Zech et al. 2012; Zhan et al. 2018). In the current study, sex was predicted with 94% accuracy.
It is known that morphological methods lead to shallow knowledge when compared to metric methods. The reliability is higher in metric methods (Etli et al. 2019; Krishan et al. 2016). Thus, metric methods were preferred in the present study. CT was employed to obtain cross-sectional images with high reliability, and since it allows fast and repeatable findings, and facilitates the collection of expert opinion from different locations concurrently. X-ray images are affected by the posture position of the person during the X-ray or diseases such as scoliosis. Another advantage of CT images is the ability to adjust the image on an orthogonal plane in a 3-planar environment when compared to X-ray images (Hatch et al. 2014; Mamabolo et al. 2020; Michiue et al. 2018; Sidler et al. 2007; Torimitsu et al. 2015; Uldin 2017; Zech et al. 2012). However, by bringing the patient's images to the orthogonal plane in CT images, posture errors caused by the position are minimized. It provides the advantage of generalization both by measuring more parameters on CT images and by standardizing parameters in the orthogonal plane (Oner et al. 2019).
Studies conducted on the orthogonal plane are rare in the literature (Oner et al. 2019; Turan et al. 2019). The transformation into an orthogonal plane minimized orientation errors, and more accurate results were obtained in the study (Turan et al. 2019).
In this study, all parameters were measured by the same observer 3 times at different times (to minimize effects such as human error and muscle memory). TEM, rTEM, and R values (Table 4) were calculated for a total of 24 parameters. The R value for the 4 parameters was found between 0.71 and 0.79 and was interpreted as substantial significant. R values for the other 20 parameters were calculated between 0.80 and 1.00, interpreted as almost perfect reliability (Jamaiyah et al. 2010; Perini et al. 2005). The reason for the high rTEM values in IFH parameters is because the average of the parameters is less than 1 cm. We think that the reason for the high rTEM value of the CA parameter is due to the fact that the coccygeal vertebral number in individuals changes as 3–5. RTEM levels in other parameters are at acceptable levels (Perini et al. 2005).
The ASL parameter (Duman 2009; Etli et al. 2019; Gaya-Sancho et al. 2018; Zhan et al. 2018) and PSL, ASCL, and PSCL parameters were reported longer in males when compared to females in the present study and in similar studies (Etli et al. 2019; Torimitsu et al. 2017; Zhan et al. 2018), and it was observed that these parameters could be used in sex estimation (Tables 12 and 13).
Similarly, it was found that the ASC parameter was longer in males and could be used in sex estimation (Mishra et al. 2003; Zhan et al. 2018). The present study ASC parameter findings were consistent with the literature and were longer in males when compared to females. It was suggested that the ASC parameter could be used in sex identification. In the current study, it was determined that PSC was longer in males, and it was suggested that it could be beneficial in sex estimation. Literature review revealed no study where PSC was measured. We suggest that this parameter would contribute to similar studies in this field. In the study, longer sacrum ASL, PSL, ASC, and PSC length in males indicated that sacrum was longer in males.
Woon et al. and Marwan et al. calculated the coccygeal curvature length as the average of the ACC and PCC length figures in their studies (Marwan et al. 2014; Woon et al. 2013). Woon et al. reported that the coccygeal curvature length was longer in males (Woon et al. 2013), while Marwan et al. reported that there was no difference depending on sex (Marwan et al. 2014). In the present study, ACC and PCC were measured separately, not depending on an average. It was observed that the ACC was longer in males when compared to females, and it was concluded that it could be used in sex estimation. There was no difference between the PCC figures depending on sex. We suggested that the difference between the findings could be due to the difference between the populations.
Literature review revealed no study where SA and CA were measured. In the present study, it has come to the conclusion that SA was greater in males. In the ROC analysis, it was observed that the SA had the highest AUC value (0.88) when compared to other parameters in sex estimation. This demonstrated that SA was the most dimorphic parameter when compared to other measurements conducted on the sacrum. We suggest that studies on the SA parameter would contribute to future studies. Although CA was greater in females, the difference was not significant.
Duman reported that LTL-1, 2, and 3 and IFHL-1 were longer in males when compared to females, while there were no differences between LTL-4; IFHR-1, 2, and 3; and IFHL-2 and 3 parameters depending on sex (Duman 2009). In the present study, it was concluded that LTL-1, 2, 3, and 4 were longer in males when compared to females, and there were no differences between IFHR-1, 2, and 3 and IFHL-1, 2, and 3 parameters depending on sex.
There are studies in the literature which reported that LRFA-S was longer in females when compared to males (Mishra et al. 2003; Zhan et al. 2018) and those that reported no difference depending on sex (Etli et al. 2019; Torimitsu et al. 2017). Similarly, there are studies which concluded that the ASW parameter was longer in females (Başaloğlu et al. 2005; Zhan et al. 2018). In the current study, although both LRFA-S and ASW were longer in females when compared to males, the difference was not significant.
Although there are studies in the literature which reported that the S1-S parameter was longer in males when compared to females (Etli et al. 2019; Torimitsu et al. 2017; Zhan et al. 2018), other studies (Başaloğlu et al. 2005; Duman 2009; Mishra et al. 2003) indicated that there was no difference depending on sex. Similarly, certain studies concluded that the S1-T was longer in males (Etli et al. 2019; Mishra et al. 2003; Torimitsu et al. 2017). Başaloğlu et al. reported that the S1-T parameter did not differ depending on sex (Başaloğlu et al. 2005). In the present study, it was determined that both S1-S and S1-T were longer in males when compared to females. Thus, it was concluded that the base of the sacrum was larger in males (Table 14).
Although there are studies in the literature that employed ROC analysis in sex estimation (Bongiovanni and Spradley 2012; Ekizoglu et al. 2014; Oner et al. 2019; Ramadan et al. 2010; Spradley and Jantz 2011), the studies where ROC analysis was utilized on the sacrum for sex estimation are rare (Franklin et al. 2014; Hussein et al. 2016). In a study conducted by Hussein et al. on the Egyptian population, the accuracy of sex estimation with S1-T and S1-S parameters was 66% and 68.9%, respectively, and was 73% and 71% in the present study. Unlike the studies conducted by Hussein et al., a higher accuracy was obtained in sex estimation in the present study, since the current study was conducted with orthogonal adjustment. It was found that the sex estimation accuracy of LRFA-S was 50% in both studies. Since this is the same as the random probability of being a woman or a man, it has come to the conclusion that there was no single parameter that could predict sex (S1-TAUC = 0.652, S1-SAUC = 0.609, LRFA-SAUC = 0.523) (Hussein et al. 2016). ROC analysis conducted in the present study demonstrated that SA, PSCL, ASC, PSC, LTL-2, LTL-3, and S1-S, S1-T parameters had high diagnostic value in sex estimation (0.5 <AUC < 1.0). The parameter with the highest diagnostic value was SA (AUC = 0.88/Acc = 82%).
The accuracy of the results of the discriminant analysis conducted by Zech et al. on Caucasian subjects was 70.2% for males and 71.3% for females according to observer 1 and 70.2% for males and 70.9% for males according to observer 2 (Zech et al. 2012). In a study conducted on the Japanese population with stepwise discriminant analysis, the accuracy rate was determined as 81.7% for males, 85.2% for females, and 83.5% for all (Torimitsu et al. 2017). In a study conducted on the Chinese population, the accuracy rate with stepwise discriminant analysis was reported as 83.2% for males, 86.9% for females, and 84.9% for all (Zhan et al. 2018). Etli et al. found the same rate as 82.5% with linear discriminant analysis (Etli et al. 2019). The fact that the present study was conducted with 24 parameters (especially the SA parameter) led to a higher accuracy (94% for all) when compared to other studies.
Contrary to previous studies in the literature, it could be suggested that the present study, where a high accuracy (94%) was reported with sacrum and coccyx measurements, may contribute to future studies on sex estimation. In the ROC analysis, it was observed that the SA had the highest AUC value (0.88) when compared to other parameters in sex estimation. This demonstrated that SA was the most dimorphic parameter when compared to other measurements conducted on the sacrum. In conclusion, this paper provides indications that the sacrum and coccyx are important bones for sex estimation and they could be effectively used as alternatives in forensic cases when the skull and pelvis are commingled, fragmented, or unavailable.
Availability of data and materials
Receiver Operating Characteristic
Area Under the Curve
Multidetector Computerized Tomography
Maximum Intensity Projection
Anterior Sacral Length
Posterior Sacral Length
Anterior Sacrococcygeal Length
Posterior Sacrococcygeal Length
Anterior Sacral Curvature Length
Posterior Sacral Curvature Length
Anterior Coccygeal Curvature Length
Posterior Coccygeal Curvature Length
Length of transverse line 1
Length of transverse line 2
Length of transverse line 3
Length of transverse line 4
Right interforaminal height-1
Right interforaminal height-2
Right interforaminal height-3
Left interforaminal height-1
Left interforaminal height-2
Left interforaminal height-3
The distance between left and right auricular surface
1st sacral vertebra transverse length
1st sacral vertebra sagittal length
Anterior Sacral Width
Technical Error of Measurements
Relative Technical Error of Measurements
Coefficient of reliability
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Bakici, R.S., Oner, Z. & Oner, S. The analysis of sacrum and coccyx length measured with computerized tomography images depending on sex. Egypt J Forensic Sci 11, 14 (2021). https://doi.org/10.1186/s41935-021-00227-5
- Computerized tomography
- Sex estimation
- Linear discriminant analysis