|Year : 2018 | Volume
| Issue : 3 | Page : 151-157
Facial indices in lateral cephalogram for sex prediction in Chennai population – A semi-novel study
Mary Sheloni Missier1, Selwin Gabriel Samuel2, Ashwin Mathew George1
1 Department of Orthodontics, Saveetha Dental College and Hospital, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India
2 Department of Oral Pathology, Saveetha Dental College and Hospital, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India
|Date of Web Publication||13-May-2019|
Dr. Selwin Gabriel Samuel
43, Kasturiba Gandhi Nagar, Vyasarpadi, Chennai - 600 039, Tamil Nadu
Source of Support: None, Conflict of Interest: None
| Abstract|| |
Background: Osteological examination is a very reliable tool to determine the sex of the individual as the consolidation of the dimorphic characteristics concludes the sex of the individual. This study was performed with lateral cephalograms, which is a vital diagnostic tool for patients undergoing orthodontic treatment. An index was formed, which could be considered as a reliable sex determinant in forensic applications.
Materials and Methods: This pilot study was performed on samples of the Dravidian population. Two-fifty individuals, whose age ranged between 25 and 40 years, were taken (125 subjects were males and 125 subjects were females). A total of ninety-nine cephalometric variables were compared, subjected to statistical analysis and tested for significance using the t-test.
Results: Out of a total of 99 variables tested only twenty-four variables showed statistical significance. So, these twenty-four variables were then subjected to discriminant function analysis to evaluate the effectiveness of each variable in predicting the sex of an individual Individually, Ramus length (Ramus ln), Condylion to Gnathion (Co-Gn) and ramus height showed the highest sex determining dependability of 78%. On the flipside, lower anterior facial height (LAFH), with 52%, showed the lowest consistency.
Conclusion: From this study, it is clearly evident that cephalometric landmarks are reliable sex determinants to a good extent. All the statistically significant measurements, but one, showed acceptable percentages of reliability. This means the chosen variables can be used for the Dravidian population to robustly determine the sex of the individuals of interest.
Keywords: Facial bones, lateral cephalogram, radiographic examination, sex determination
|How to cite this article:|
Missier MS, Samuel SG, George AM. Facial indices in lateral cephalogram for sex prediction in Chennai population – A semi-novel study. J Forensic Dent Sci 2018;10:151-7
|How to cite this URL:|
Missier MS, Samuel SG, George AM. Facial indices in lateral cephalogram for sex prediction in Chennai population – A semi-novel study. J Forensic Dent Sci [serial online] 2018 [cited 2019 Jul 16];10:151-7. Available from: http://www.jfds.org/text.asp?2018/10/3/151/257897
| Introduction|| |
Human beings (Homo sapiens) can be distinguished from other living organisms by their superior mental development, behavior, and speech. Almost all species can be differentiated into males and females based on their sexual dimorphism. Over the years, humans have undergone a vast range of development from their stone age to this modern life.
Identity is a set of characteristics that define an individual. Universally, human identifications have been recorded for criminal and civil identification purposes. Such identifications include birthmarks (nevi), scars, and fingerprints. These methods of identification cannot be used to identify the skeletal remains of humans. In forensic and medical sciences, innumerable researches are being done using skeletal remains. In mass disasters and sites of archaeological interests, the task of identification becomes inevitable. In such situations, deriving the possible inclusion and exclusion criteria such as age, sex, stature, and race aids in establishing the identity of an individual. In addition, skeletal tissues resist decomposition, unlike soft tissues, thereby facilitating the investigator to develop knowledge of the specimen under study, even after many decades of death.
There are two methods of approaches for sex determination using the skeletal remains: morphological (nonmetric) and metric methods. When sex determination is done using the skeletal remains, pelvic bone is the most commonly used bone, and the second common bone used for sex determination is the skull. The skull does not manifest definite sexual traits until after the full development of the secondary sexual characteristics that begin to appear during puberty. For example, in females, as they undergo development from puberty to adulthood, the skull portraits certain prepubertal characteristics such as smoothness and gracility. On the other hand, in male skulls, as the development progresses from puberty to adulthood, the skull portraits certain characteristics such as more robustness and large muscular attachment areas with more pronounced supraorbital ridges. Some other characteristics of the skull which also aid from the differentiation from male and female are the weaker developments of the frontal and occipital superstructures, but they are fairly reliable.
Sex determination of an individual in question not only facilitates the ease of identification, but also helps to eliminate those in suspicion if they belong to the opposite sex. This is a very vital reason for identifying the sex of an individual in forensic scenarios. In the maxillofacial complex, frontal sinus and mandibular ramus are usually considered for sex determination. Furthermore, maxillary sinus has also been studied as a dimorphic organ in quite a few studies., On determining sex from the skull radiographs, it was found that they are accurate and prove to be a simpler method in predicting the sex by their linear and angular measurements. Various studies prove that the estimation of sex from the skull scores up to 80%–100% of accuracy. Badam et al. in their study on 100 individuals found that it provided a greater degree of accuracy in determining the sex. Devang Divakar et al. did a discriminate function analysis on a lateral cephalogram and found it as a reliable tool in determining the sex of an individual.
Lateral cephalogram of the skull is taken to determine the sex as it gives a wide range of information from a single radiograph. Therefore, many function analyses of lateral cephalogram have been used to determine the sex of an individual. In this study, we performed function analyses using a lateral cephalogram and focussed on the maximum number of parameters that can be considered in the facial bone and the mandible. The main goal of this study was, therefore, to check the reliability of using various parameters obtained from the lateral cephalogram to determine the sex of an individual.
| Materials and Methods|| |
This study was performed on samples of the Dravidian population. It was a cross-sectional study, done using the pretreatment lateral cephalograms of patients who came to our institution for orthodontic treatment. A total of 250 patients, out of which 125 were males and 125 were females, between 25 and 40 years of age, were chosen for the study. A written consent was obtained from all the patients whose radiographs were utilized for the study.
The inclusion criteria for the present study were as follows: patients willing for participating in the study, patients without any history of trauma to face, and patients without any previous history of orthodontic treatment or cosmetic surgery. Exclusion criteria for the present study were as follows: patients with the previous history of orthodontic treatment or surgery, patients not willing for participating in the study, medically compromised patients, pregnant patients (due to the risk of radiation exposure), patients with a history of trauma to the maxillofacial skeleton, and patients presenting radiographs of poor quality. A total of 99 cephalometric measurements, containing both linear and angular measurements, were taken for the study. The anatomic landmarks on the lateral cephalogram were marked and traced using Facad software [Figure 1]. This software automatically generates values for both linear and angular variables, thereby preventing human errors.
The cephalometric variables were subjected to statistical analysis. All the variables were initially tested for significance with the help of t-test. P < 0.05 was considered statistically significant.
| Results|| |
All the 99 variables, both linear and angular, were initially tested with “Individual t-test” for statistical significance. Out of them, only 24 variables showed statistical significance [Table 1]. These 24 variables were then subjected to discriminant function analysis to evaluate the effectiveness of each variable in predicting the sex of an individual in question.
|Table 1: T.test of independent samples comparing the obtained values of males and females|
Click here to view
For each variable that showed statistical significance, a discriminant model was created where separate formulas were used for males and females. Depending on the value obtained by substituting the numerical values into the designated formulas, the sex of the individual was determined. The formula that produced a higher value among the ones designated for every variable assumed the sex of the individual. Based on the accuracy, the predictability of the variables was calculated.
The predictability scores produced by all the variables, together, was 96%. Individually, Ramus length, Condylion to Gnathion, and ramus height showed the highest sex determining dependability of 78%. On the flipside, lower anterior facial height, with 52%, showed the lowest consistency. On an average, all other variables showed a reliability percentage of above 60% [Table 2].
|Table 2: Accuracy of sex determination of variables that exhibited statistical significance, evaluated by discriminant functional analysis|
Click here to view
| Discussion|| |
Forensic odontology needs a lot of research to prove its existence as a distinct specialty. At present, very little research has been carried out in this stream. Moreover, any anthropometric study performed on a geographical area cannot provide generalized information for populations of various ethnicity. This is because the skeletal growth patterns, influencing factors such as food habits and genetic makeup, and climate, may drastically vary from one location to another.
A study done by Indira et al. on Bengaluru population to determine the sex of an individual with the help of mandibular ramus had an overall reliability of 76%, based on five chosen parameters. However, a study done on a North Indian population by Saini et al. with the same parameters showed an overall accuracy of 80.2%, though both the studies observed all the parameters as significant sex predictors., Hence, to create a database for identification on a categorical basis, region-specific research is mandatory. That is why this study was performed in the Dravidian population to study the reliability of sex determination, though many studies have already been performed with lateral cephalograms, in other places of India.
The study was performed on live patients, on radiographs, that were already made for investigative purposes. Therefore, the patients were not unnecessarily exposed to radiation. All the cephalometric measurements were traced by a digital cephalometric software Facad. This is in the intention of not ruling out any variable which could prove itself a sole sex determinant. Among the variables, some of them were bilateral cephalometric measurements. Hence, there is a possibility to conclude the sex of the skull under study, even when one side of the face is missing or severed due to mass disasters or fatal violence. Another advantage of using lateral cephalogram is that it is a routine diagnostic aid in orthodontics, with the entire picture of the skull available for contemplation from both investigative and research purposes.
A study done with 143 computed tomography (CT) images of the skull, in Gujarati population, by Mehta et al., had an accuracy between 61.3% and 88.7% in sex prediction. This is comparatively lower than the overall reliability contributed by the 24 variables in the present study. Moreover, CT scans are relatively expensive and pose a higher radiation exposure on the patients.
While there are ample options for selection of a statistical tool, discriminant function analysis seemed to be the most appropriate and ideal means of validating the obtained numerical, sex-based values on a statistical basis. As the output variables were dichotomous and categorical and the input variables were continuous, the authors surmised that it is prudence to employ discriminant function analysis to substantiate the study. Furthermore, there are quite a few studies that were performed on lateral cephalogram with the same statistical tool for sex determination.
Hsiao et al. performed a study with 100 lateral cephalograms of Taiwanese adults and demonstrated 100% accuracy in sex determination with 18 cephalometric measurements that were subjected to discriminant function analysis. This study yet again proved the steadfastness of lateral cephalogram as a favorable means of sex determination.
Hsiao et al. also performed a similar study on 100 Taiwanese children, where 13 linear, eight angular, and one proportional variable were employed. Out of the 22 variables, only nine variables were statistically significant. These nine variables when subjected to discriminant function analysis resulted 95% accuracy in gender prediction. However, this study was performed in children (between 14 and 17.5 years), which cannot be a long-term reliable tool for sex prediction, as many changes occur in the skeletal tissues during this period.
Patil and Mody performed a study in the Central Indian population, on 150 individuals, to study the stature by regression analysis and sex by lateral cephalogram. With discriminant function, ten variables contributed to 99% reliability in sex determination. This is slightly more significant than the data found in this study. Nevertheless, this outcome cannot be applied to this study population without proper validation.
A large-scale study was recently done in Coorg, a hill station in India, among children and adolescents by Devang Divakar et al. In this study, 616 lateral cephalograms were used and 24 variables were considered. Out of the 24 variables, only one variable proved to be a gender predictor with 100% accuracy.
It has been observed that no other study had considered 99 cephalometric variables for sex determination. This implies that all possible variables were given equal importance, and the study derived reliable and robust observations, giving no scope for incompleteness. This wholesome approach can be an ideal framework for prospective studies in other populations. Future studies on much larger sample sizes can prove its validity as a potential sex-determining tool.
On the other hand, this study has some minor limitations. The sample size is relatively small for assertively establishing conclusions of the objectives the study. The sample size should be greatly increased in future research work on this idea. Furthermore, the study cannot be applied in scenarios where the facial and cranial skeletons of the individuals are severely crushed, disfigured, or damaged beyond the scope of radiographic analysis. In such cases, employing other methods and techniques as corroborative evidence would seem ideal. However, wherever applicable, such as floods, earthquakes, tsunami, accidents, and homicides, the skulls of the bodies can be exposed to radiation and the obtained image can be subjected to the proposed technique and the sex can thereby be determined.
| Conclusion|| |
From this pilot study, it is evident that cephalometric landmarks are reliable sex determinants to a good extent. All the measurements, but one, showed acceptable percentages of reliability. This means, the chosen variables can be used for the Dravidian population to robustly determine the sex of the individuals of interest. It is also certain that the evidence can more easily be verified if the quantity of available information is more. Prospective studies embodying a bigger sample size needs to be performed to strengthen the observations of this pilot study. Similarly, the same study frame adopted for predicting the sex of the individuals of other populations may confirm the sex predictability of the indices used in this study in other geographical locations.
Financial support and sponsorship
Conflicts of interest
There are no conflicts of interest.
| References|| |
Mattson MP. Superior pattern processing is the essence of the evolved human brain. Front Neurosci 2014;8:265.
Narayan Reddy KS. The Essentials of Forensic Medicine and Toxicology. 33rd
ed. New Delhi: Jaypee Publishers; 2014.
Krishan K, Kanchan T, Garg AK. Dental evidence in forensic identification - an overview, methodology and present status. Open Dent J 2015;9:250-6.
Dubrul EL. Sicher and Dubrul's Oral Anatomy. 8th
ed. St. Louis: Ishiyaku Euro America; 1988.
Samuel SG, Pandey A, Dahiya MS. A report on the current status of radiology in forensic odontology in the Indian scenario. Int J Forensic Odontol 2017;2:34-7. [Full text]
Khaitan T, Kabiraj A, Ginjupally U, Jain R. Cephalometric analysis for gender determination using maxillary sinus index: A novel dimension in personal identification. Int J Dent 2017;2017:7026796.
Sidhu R, Chandra S, Devi P, Taneja N, Sah K, Kaur N. Forensic importance of maxillary sinus in gender determination: A morphometric analysis from Western Uttar Pradesh, India. Eur J Gen Dent 2014;3:53-6. [Full text]
Naikmasur VG, Shrivastava R, Mutalik S. Determination of sex in South Indians and immigrant Tibetans from cephalometric analysis and discriminant functions. Forensic Sci Int 2010;197:122.e1-6.
Badam RK, Manjunath M, Rani MS. Determination of sex by discriminate function analysis of lateral radiographic cephalometry. J Indian Acad Oral Med Radiol 2011;23:179-83. [Full text]
Devang Divakar D, John J, Al Kheraif AA, Mavinapalla S, Ramakrishnaiah R, Vellappally S, et al.
Sex determination using discriminant function analysis in indigenous (Kurubas) children and adolescents of Coorg, Karnataka, India: A lateral cephalometric study. Saudi J Biol Sci 2016;23:782-8.
Patil KR, Mody RN. Determination of sex by discriminant function analysis and stature by regression analysis: A lateral cephalometric study. Forensic Sci Int 2005;147:175-80.
Indira AP, Markande A, David MP. Mandibular ramus: An indicator for sex determination – A digital radiographic study. J Forensic Dent Sci 2012;4:58-62.
] [Full text]
Saini V, Srivastava R, Rai RK, Shamal SN, Singh TB, Tripathi SK, et al.
Mandibular ramus: An indicator for sex in fragmentary mandible. J Forensic Sci 2011;56 Suppl 1:S13-6.
Mehta M, Saini V, Nath S, Menon SK. CT scan images for sex discrimination – A preliminary study on Gujarati population. J Forensic Radiol Imaging 2015;3:43-8.
Hsiao TH, Chang HP, Liu KM. Sex determination by discriminant function analysis of lateral radiographic cephalometry. J Forensic Sci 1996;41:792-5.
Hsiao TH, Tsai SM, Chou ST, Pan JY, Tseng YC, Chang HP, et al.
Sex determination using discriminant function analysis in children and adolescents: A lateral cephalometric study. Int J Legal Med 2010;124:155-60.
[Table 1], [Table 2]