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Sexual dimorphism in odontometric parameters using cone beam CT: a systematic review



To determine whether odontometric parameters using cone beam computed tomography (CBCT) would aid in sex estimation by assessing sexual dimorphism of odontometric parameters.

Material and methods

The focused question was whether there is sexual dimorphism in linear and volumetric odontometric parameters when assessed using CBCT. The preferred reporting items for systematic reviews and meta-analysis (PRISMA) guidelines were followed to conduct a systematic search until June 2022 in all major databases. Data were extracted regarding the population, size of the sample, age range, teeth analyzed, linear or volumetric measurements, accuracy, and conclusion. The quality of included studies was assessed using (Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool.


Out of the 3761 studies identified, twenty-nine full-text articles were assessed for eligibility. Finally, twenty-three articles (4215 participants) that provided data on odontometrics using CBCT were included in this systematic review. The odontological sex estimation were assessed either linear measurements (n = 13) or volumetric measurements (n = 8) or both (n = 2). Canines were analysed in maximum number of reports (n = 14), followed by incisors (n = 11), molars(n = 10) and premolars(n = 6). Most of the reports (n = 18) confirmed the existence of sexual dimorphism in odontometric parameters when assessed using CBCT. No significant differences in odontometrics between the sexes were noted in some reports (n = 5). The accuracy of sex estimation was assessed in eight investigations, which ranged from 47.8 to 92.3%.


Odontometrics of human permanent dentition using CBCT exhibit a certain degree of sexual dimorphism. Both linear and volumetric measurements of teeth can aid sex estimation.

Peer Review reports


Defining traits of an individual are age, sex, and ethnicity. A significant component of human identity in forensics is sex recognition. Sex estimation assists in the identification of a missing person’s tentative sex, which will be utilized to perform sex-specific age estimation [1]. Age and sex determination are basic for the fabrication of the human being’s biological form. In a state of skeletonization, sex assessment provides information for the identification of cases [2]. Sex determination is essential in the diverse disciplines of forensics. It is chiefly necessary to recognize withered skeletal remnants and parts of the body. Anthropological and odontological models evaluate sex, encompassing various metric and non-metric parameters. Morphological and metric parameters of the dentition and neighbouring structures like lips, palate, mandible, and paranasal sinuses and biochemical analysis of teeth structures are used in sex estimation [1]. Various forensic and anthropological analyses extensively studied permanent human dentition to estimate sex and age. The dentition is usually well protected, no matter the state where the corpse was found or preserved [2]. Human permanent dentition resists post-mortem decomposition and has an excellent preserving capability, hence an effective source for sex estimation [3].

Digital calipers, two-dimensional digital models, graphical depictions to record measurements on dental casts, digital impression models, three-dimensional cone beam computed tomography (CBCT) models, and laser scanned models are the various straightforward techniques in odontometrics. With the evolving technology, odontological assessments in three-dimension are feasible because of three-dimensional CBCT. It is a more accurate and reliable method for measuring tooth dimensions. Storage, retrieval of images, and use of sophisticated software to perform image analysis are the possibilities that reinforce the integrity and consistency of odontometric morphometry using three-dimensional CBCT [4, 5]. Odontometrics using CBCT is par with digitalized plaster models using the digital mode, as it enables measuring tooth dimension and arch size swiftly, efficiently, consistently, and precisely [6]. CBCT is a non-invasive technique that does not need extraction or sectioning of a tooth, can be applied in mortal beings, and has the advantage over destructive methods, as they result in loss of evidence which is unacceptable [2, 7]. CBCT provides three-dimensional images of acceptable quality at a low radiation dose, it is better than two-dimensional imaging. The morphology of a tooth can be visualized from all angles without image distortion, magnification, or superimpositions. CBCT images can be viewed in multiple sections and levels [7, 8]. Visualization of the pulp chamber and anatomic variations are possible due to spatial resolution [8]. It also provides detailed information about dentition and supporting structures [9].

Sexual dimorphism reveals a set of morphologic features in the form of shape or size that differentiate a male from a female. Various species exhibit sexual dimorphism in the odontometric variables [9]. A systematic review [1] that described the features of various odontological sex estimation techniques reported an accuracy of over 80% without providing absolute discrimination. Numerous studies attempted to recognize the distinction between sexes by evaluating human teeth dimensions in different populations, with inconsistent findings [10]. Taking into consideration of several dental anatomical studies in literature and the variation in their results, diversity observed in tooth dimensions is of fundamental importance; CBCT is a new modality to study anatomical diversity that has a bearing on the future of dental anatomy and forensic odontology [10]. The present analysis aimed to systematically review reports assessing odontometric sex estimation using CBCT. The research question was whether there is sexual dimorphism in the odontometric parameters when assessed using CBCT.

Methods and material

This investigation was performed by the guidelines of the Preferred Reporting Items for Systematic reviews and Meta-analyse (PRISMA) statement (for diagnostic test accuracy). The review protocol was prospectively registered in PROSPERO (Registration number: CRD42022335735) where it can be accessed online at

Focused question and study eligibility

The focused question for this review was- Is there sexual dimorphism in odontometric parameters of the human permanent teeth when assessed using CBCT?

  1. 1)

    Whether there is sexual dimorphism in linear odontometric parameters using CBCT?

  2. 2)

    Do volumetric odontometric parameters show sexual dimorphism when assessed using CBCT?

The framework that was used to formulate the research question was based on population, index test, reference test and diagnosis of interest – [population (CBCT images from human subjects), index test (linear/volumetric odontometric methods using CBCT), reference test (reference standard, such as expert’s judgment and medical record) and diagnosis of interest (sexual dimorphism of odontometric parameters)] [11].

Inclusion criteria for the studies were as follows

1) clinical studies carried out in various populations that investigated different odontometric parameters of permanent human dentition using CBCT, 2) no restrictions on ethnicity, 3) studies that compared male and female subjects, 4) studies that compared index tests as per eligibility criteria to the study’s reference standard, 5) analysis of linear and volumetric measurement of permanent teeth, odontometric population traits, and sexual dimorphism from cross-sectional investigations and studies that report diagnostic accuracy.

Exclusion criteria for the studies were as follows

1) studies using casts, extracted teeth, non-human teeth, skeletal remains, direct intraoral assessment, intraoral photography, x-ray, computed tomography (CT) scan, and micro CT scan for sex estimation, 2) non-metric features of teeth, 3) techniques based on cephalometric, sinuses measurements, cheiloscopy, palatal rugoscopy, and biochemical analysis for sex estimation, 4) populations with known systemic diseases, syndromes, or other pathologies affecting permanent teeth and studies with small samples (n < 10). In vitro studies, case reports, case series, books, book chapters, conference papers, editorials, letters to the editor, and systematic reviews were also excluded.

Study search strategy and process

The PRISMA protocol was followed to conduct and report this systematic review (PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement. Studies from 01 Jan 2000 till date (30 June 2022) that met the eligibility criteria were included in this review. The search was carried out on all major databases, such as PubMed, Scopus, Web of Science, Google Scholar, and Cochrane, to identify reports of odontometric analysis restricted to permanent human dentition using CBCT.

The search was conducted based on the research question’s main three concepts (CBCT, odontometrics, and sexual dimorphism). The literature database was searched using MeSH terms, keywords, and other free terms related to CBCT (“CBCT” OR “cone beam computed tomography), odontometrics (“odontometry” OR “teeth” OR “volumetric assessment” OR “volume measurement” OR “pulp cavity volume” OR “buccolingual dimension“) and sexual dimorphism (“sexual dimorphism” OR “gender assessment” OR “sex assessment” OR “sex determination” OR “gender determination” OR “gender prediction” OR “sex estimation”) for identifying relevant publication up to 30 June 2022. The details are given in additional file 1 which depicts the PubMed search strategy.

In addition, references to relevant studies and manual searching also were done for other potentially appropriate publications.

Data extraction and outcome of interest

The inclusion criteria were refined by piloting the study selection process. Data extraction was done from the selected studies and tabulated using excel sheets.

Two blinded reviewers (AJ and RA) independently screened all the titles and abstracts identified through electronic and manual searches. Studies that did not fulfill the inclusion criteria were excluded. Next, full-text papers that fulfilled the eligibility criteria were identified and included in the review. Disagreements regarding the inclusion or exclusion of studies were resolved by discussion with a third reviewer (SN).

Data were collected regarding the linear and/or volumetric measurement of each study. This included author, year, country of origin, age of the participants, sample size, type of measurement (whether linear or volumetric), parameters assessed in the odontometric methods, tooth/teeth analyzed, whether sexual dimorphism present (yes/no) and the accuracy of sex estimation. The studies were classified based on the type of measurements and type of teeth assessed using CBCT.

Quality analysis

The quality of included studies was assessed using (Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool [12]. To measure the quality of each study, four key domains in two categories (risk of bias and applicability concerns) were assessed. The risk of bias was assessed under four domains (patient selection, index test, reference standard, and flow and timing) with relevant signaling questions. Similarly, applicability concerns were assessed based on patient selection, index test, and reference standard. The responses were color-coded and marked to indicate high risk, low risk, and unclear.


Study selection

A total of 3761 records were identified through various databases and hand searching. After removing duplicates, 3664 studies underwent title and abstract screening where 3635 studies were excluded. Twenty-nine full-text articles were assessed for eligibility, out of which 6 were excluded for various reasons (Table 1).

Table 1 Excluded studies with reason

Twenty-three articles were finally included in the systematic review (Fig. 1).

Fig. 1
figure 1

Summary of the systematic review workflow using PRISMA chart

Studies characteristics

Of the twenty-three studies, four were investigated in Brazil [2, 3, 19, 20], four in India [7, 8, 21, 22], three in Iran [23, 24, 25], three in Turkey [26, 27, 28], two in Saudi [4, 5], one each in Poland [29], Portugal [30], Egypt [9], Ukraine [31], Italy [32], Spain [33] and Malaysia [6].

These 23 studies involved 4215 participants (2103 males and 2112 females), and the sample sizes ranged from 53 to 1190 (Table 2).

Table 2 Characteristics of the included studies in the systematic review

The odontometric sex estimation by CBCT used linear measurement in 13 studies, volumetric measurement in 8 studies, and both these measurements in 2 studies. 92% (12/13) of studies on linear measurement could estimate sex correctly, while 75% (6/8) of studies on volumetric measurement favoured sex estimation. Teeth measurements for sex estimation were mainly performed on CBCT images using various image analysis software such as ITK-SNAP and Romexis. Sexual dimorphism in odontometric parameters was observed in all teeth across the populations, mostly in canines followed by incisors and molars.

Of the teeth in the permanent dentition using CBCT images, canines were analyzed in a maximum number of studies (n = 14), followed by incisors (n = 11), molars (n = 10), and premolars (n = 6). More than one type of teeth was analyzed in ten reports. All types of teeth were analyzed in three reports. Most of the reports found a positive response that odontometrics could aid in sex estimation (n = 18). 78% of reports confirmed the existence of sexual dimorphism in odontometric parameters. The accuracy of sex estimation was assessed in eight investigations, which ranged from 47.8 to 92.3%. No significant differences in tooth dimensions between the sexes were noted in five reports (Table 2).

Of the 14 studies in canines, 71% (10/14) supported the existence of sexual dimorphism in odontometrics of permanent canines. Tooth size, tooth length, dental volume, the volume of the pulp chamber, mandibular canine crown width and length, inter-canine width, buccolingual root dimension of mandibular canine, and mandibular canine index are primary odontometric parameters that made a sex difference. A significant sex difference was not appreciated in root length, enamel thickness, and pulp tooth ratio. Even in incisors, root length and pulp tooth ratio did show any significant difference between the sexes. Of eleven studies assessing CBCT images of incisors, 73% (8/11) of studies supported the presence of sex difference in linear or volumetric measurement of permanent incisors.

Among ten studies assessing various odontometric parameters of permanent molars, 60% (6/10) reports demonstrated the existing sex difference in odontometrics of molars. The most dominant variables which made a difference include crown height, width, intermolar distance, dentin thickness, volume ratio, and total pulp chamber volume. Out of six studies evaluating the premolars, 67% (4/6) reports showed sexual dimorphism; length of tooth and roots, mesiodistal crown width, and enamel thickness are the odontometric variables that made the difference.

ITK-SNAP software and Romexis software were common tools used in many reports. In four studies, there is no mention (non-specification) of the software used to analyze the CBCT images [9, 21, 23, 31]. Five studies did not find sexual dimorphism through odontometrics [4, 5, 7, 8, 20], while in two reports, statistical analysis details were minimal/ not specified [22, 32]. Only four studies mentioned sampling by randomization, and the remaining nineteen selected studies used convenience sampling [4, 5, 24, 26].

Study quality assessment

The QUADAS 2 scoring showed an overall low risk of bias (Table 3). Fifteen articles scored low-risk scores for all seven criteria. Four studies showed low risk for most of the parameters with few unclear parameters. The remaining four studies had unclear risks.

Table 3 QUADAS-2 assessment of the included studies

In-depth assessment regarding sexual dimorphism was difficult due to the small sample size in few reports, especially if the investigation intended to assess differences between the sexes [6, 22, 30]. Hence, it was regarded that these reports showed a risk of bias for the estimation of differences in the linear or volumetric measurements of permanent teeth. Only two studies mention power analysis used for sample size estimation [5, 27]. The intra-class correlation coefficient was applied in most reports to analyze intra-observer and inter-observer agreements. Poorly explained calibration features in the methodology or a lack of complete information assessed the risk of bias as ‘unclear’ in a few studies.


This systematic review aimed to determine whether there is sexual dimorphism in the odontometric parameters when assessed using CBCT. Of these published 23 studies, eighteen studies found a positive response that odontometric measurements could aid in sex estimation. The majority found sexual dimorphism in various odontometrics of permanent canines, especially with mandibular canines.

A recent systematic review on tooth crown mesiodistal measurements for estimating sexual dimorphism across a span of different people confirmed that canines reflect the greatest sexual dimorphism [10]. Several investigations found canines and first molars to be the most common teeth with a lot of morphological diversity between sexes [10, 34]. In the present analysis, sexual dimorphism was observed in all teeth across various populations, mostly in canines, followed by incisors, premolars, and molars. Tooth formation and development are controlled by sex-related genes, and structures of human permanent dentition exhibit sex differences. Accordingly, forensic researchers have evolved several methods to distinguish males from females. But still, experts choose canines for sex estimation [27].

Of the teeth in the permanent dentition using CBCT images, canines were analyzed in fourteen studies out of twenty-three studies. Tooth size or dimension is the most frequently assessed odontometric variable for sex estimation. The tooth size of the maxillary and mandibular canine displays the largest variation of sexual dimorphism [6]. Prolonged amelogenesis in males results in differences in enamel thickness between the sexes and, consequently, greater dimensions of canines in males than in females [35]. The ‘Y’ chromosome promotes mitotic activity in tooth germs and controls growth by enhancing amelogenesis and dentinogenesis, consequently greater dentin thickness in males [36]. In contrast, the ‘X’ chromosome controls only the enamel growth. This could explain the variation in size [36].

Few investigators consider that the sexual dimorphism of mesiodistal width is because of dentin deposition, which is in excess in men than in women. On the contrary, there is no difference in enamel thickness [32]. Few researchers contemplate the variation in the level of sex hormones in the course of tooth formation could influence tooth dimensions [9]. Parameters like crown width and length of mandibular canine and inter-canine width show highly significant sex differences [9]. The mesiodistal width of mandibular canines revealed statistically significant sexual dimorphism [5]. In permanent dentition, mandibular canines are known to show the greatest sex dimorphism; hence, it has become the tooth of choice for sex estimation studies. It has been considered that the mesiodistal width of mandibular canines is the simpler method for sex prediction with a better rate of accuracy [37]. A significant difference in the length of canines in both sexes and both jaws also have been reported [25].

Average tooth length is greater in men than in women [29]. In both women and men, the longest teeth turned out to be canines. The buccolingual root size on the mandibular canine also revealed significant differences between the sexes [30]. The average values of the canine pulp chamber were larger for males compared to females [3]. Dental volume showed a significant difference between sexes [32]. The dental volume observed a significant difference between the sexes, while different finding was noted for the volume of the pulp chamber and the ratio between the pulp chamber and dental volume. The lack of sexual dimorphism in the pulp chamber quantification is probably due to the effect of age on the pulp dimension [32]. Volumetric accuracy of the maxillary canine and mandibular canine for sex estimation were 74.4 and 79.5%, and the combined analysis of the maxillary and mandibular canines allowed an average accuracy of 83.7% [19].

While reviewing the literature on odontometric assessment of permanent incisors using CBCT for estimation, it was observed that the largest variation in the tooth dimension was found in the maxillary lateral, second premolars, and mandibular lateral incisors in men, whereas the maxillary canine and mandibular incisors in the women [6]. Males show a greater mean mesiodistal dimension of central incisors than females [22]. The mesiodistal dimension of both maxillary central incisors is significantly different in males compared to those in females. Though the form and shape of tooth structure are similar in both sexes, the size might differ, as tooth dimension is influenced by genetic, cultural, racial, and environmental factors [38].

Warnecki et al., 2021 found that mean tooth length is greater in men than in women [29]. In both men and women, the smallest difference in tooth length between women and men was found for the central incisors. In the same study, significant differences were found in tooth length between the sexes when evaluating the literature on odontometry of premolars using CBCT [29]. Males had significantly lengthy mandibular premolars than females. Llena et al., 2014 noted that the mean length of teeth and roots was significantly longer in males than in females [33]. Analysis of extracted premolars in the Jordanian population showed similar findings [39].

In the review of molar morphometry using CBCT in sex estimation, Paknahad et al., 2022 found that accuracy of sex estimation of the mandibular and maxillary first molar tooth was 84 and 77%, respectively [24]. The mesiodistal variables were more accurate in sexual dimorphism than the buccolingual ones. For sexual dimorphism, the most dominant variables for maxillary and mandibular first molar teeth were crown height and dentin thickness. Tobpas et al., 2021 found that sex was predicted by maxillary first molar volume ratio in 76.6% of females and 56.3% of males; it was observed that maxillary first molar tooth volume ratio provided more precise results in females’ sex estimation [27]. Salam et al., 2021 observed significant sex differences in mandibular first molar crown width and length and inter-molar width [9]. Chandler et al., 2003 found a significant difference between sexes and found that permanent first molar teeth pulps exhibit sexual dimorphism [40]. Pulp dimensions of the permanent first molar tooth in men are larger than that in women. Molars are the first permanent teeth to erupt in the mouth; hence, they are easily accessible for sex estimation at an early age when compared with other permanent teeth. It has the edge over canines, which have a greater propensity of being impacted and thus are not accessible for odontometric analysis [9].

The accuracy of sex estimation was assessed in eight investigations, which ranged from 47.8–92.3%. An accuracy of 100% for canine dimensions was reported and accepted that a small sample was responsible for the inflation of accuracy [41]. Considering the diversity in methodology, ethnicity of population and sample size, and age range, comparison of accuracies was not easy. Biochemical methods, DNA-PCR, fluorescent microscopy of the freshly extracted tooth, and analysis of Barr body provided 100% accuracy. Odontometrics on casts, skeletal remains, and pulp/tooth volume ratios on CBCT reported isolated accuracies of a cent percent [1]. Even the cascade of techniques reported a range of accuracy similar to individual methods.

Jaysinghe et al. 2022 found significant difference in all maxillary arch parameters using CBCT such as width of the alveolar ridge at the canine, first molar and second molar and the distance of the arch at the inter canine distance and junction between the hard and soft palate when assessed between the different genders [42].

There is some evidence of reverse dimorphism too in the literature related to dental structures. For example- Fernee et al. 2021 found larger surface areas and volumes of enamel and crown volumes in females unlike in the case of dentine and root, which were larger in males [43]. This was particularly seen in the case of upper canine. But none of these studies used CBCT for estimation. Further research is needed to establish the potential use of oral tissues for sex estimation in humans.

Strengths and limitations

Most of the studies included had a nearly equal distribution of both sexes. The majority of the participants were young adults between the second the fifth decade. This ensured that the dentition is less worn off in the case of odontometrics, morphologically unchanged, and shows adequate skeletal growth and development. The added benefits of CBCT are that it enables the assessment of a subject’s tooth dimensions and arch size. The analysis can be done directly using digitized images, and record maintenance is not an issue. CBCT imaging provides a platform to make linear and/or volumetric measurements of dentition. It is a better system to archive patient details and easy access to the records that will help in analyzing tooth dimensions at convenience directly from images using various software.

The present review did not separate studies based on the software used for taking measurements directly from CBCT images or software used to reconstruct the models to make odontometric analyses. As the difference between the two modes is unknown/ unclear, this could contribute to a risk of bias. Potential problems regarding sex estimation based on odontometric analysis using CBCT are diversity with respect to sample size, class of teeth assessed, odontometric parameters analyzed, and software used to analyze.

The reasons for not subjecting the cumulative data to meta-analysis are lack of uniformity in the data and specific protocol followed in these studies. The present analysis excluded studies related to anthropological skeletal remnants because the dimensions of the dentition might be withered; similarly, intrinsic and extrinsic variables are particular to specific populations. Hence, the results focused on adolescents and adults with permanent dentition.

The reasons for not subjecting the cumulative data to meta-analysis are lack of uniformity in the data and specific protocol followed in these studies. The present review did not separate studies based on the software used for taking measurements directly from CBCT images or software used to reconstruct the models to make odontometric analyses. As the difference between the two modes is unknown/ unclear, this could contribute to a risk of bias. Potential problems regarding sex estimation based on odontometric analysis using CBCT are diversity with respect to sample size, class of teeth assessed, odontometric parameters analyzed, and software used to analyze. Although the risk of bias assessment using The QUADAS 2 chart showed an overall low risk, few studies showed some unclear parameters and unclear risks. Small sample sizes, lack of power analysis in many studies, and insufficient explanation for calibrations are some of the major reasons. Grading of recommendations assessment, development and evaluation (GRADE) assessment was not performed in this systematic review to rate the certainty of evidences which is a limitation of the review.

Most recent reports about dental anatomy are with three-dimensional technologies, with exceedingly accurate results compared to previous studies, which focused on other methods of sex estimation using casts, extracted teeth, non-human teeth, skeletal remains, direct intraoral assessment, intraoral photography, and x-ray. Even with non-metric methods of sex estimation, some important, relevant information would have been lost. Therefore, a comparison of results becomes difficult to interpret. Included studies in this review exhibit the differences in the data sets, methodology, statistics applied, and results obtained. The consensus was challenging to achieve due to the diversity in linear and volumetric measurements applied in each class of teeth. The review included investigations conducted in different populations that utilized different data collection techniques but yielded similar results across studies.


This review analyzed the reports on sexual dimorphism in the different odontometric parameters of permanent human dentition using CBCT. Within the scope of this study, it was found that odontometrics of human permanent dentition using CBCT exhibit a certain degree of sexual dimorphism. Both linear and volumetric measurements of teeth can aid sex estimation. The diversity in odontometrics and numerous published reports on odontological SE methods emphasized the need and relevance of SE in human identification. Dimensions of permanent canines show greater variation, especially in mandibular canines, exhibiting the greatest sexual dimorphism. Diverse data sets, parameters evaluated, and methodology followed in these studies included in the review failed to provide concrete evidence to generalize the results. Further studies in various ethnic groups with specific protocols evaluating linear and volumetric measurements of permanent teeth using CBCT are required to verify and validate the findings and strengthen the reliability of this method.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.


  1. Capitaneanu C, Willems G, Thevissen P. A systematic review of odontological sex estimation methods. J Forensic Odontostomatol. 2017;35:1–19.

    CAS  PubMed  PubMed Central  Google Scholar 

  2. Andrade VM, Fontenele RC, de Souza AC, et al. Age and sex estimation based on pulp cavity volume using cone beam computed tomography: development and validation of formulas in a Brazilian sample. Dentomaxillofac Radiol. 2019;48:20190053.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Fardim K, Junior EO, Rodrigues R, et al. Volume measurement of mandibular teeth pulp chamber as a prediction tool of gender and ethnicity in a Brazilian population. Braz Dent Sci. 2021;24:6P.

    Article  Google Scholar 

  4. Alam MK, Alzarea BK, Ganji KK, Kundi I, Patil S. 3D CBCT human adult odontometrics: Comparative assessment in Saudi, Jordan and Egypt population. Saudi Dent J. 2019;31:336–42.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Issrani R, Iqbal A, Alam MK, Prabhu N. 3D CBCT Analysis of Odontometric Variables for Gender Dimorphism in Saudi Arabian Subpopulation. Indian J Forensic Med Toxicol. 2020;14:1873.

    Google Scholar 

  6. Alam MK, Shahid F, Purmal K, Ahmad B, Khamis M. Tooth size and dental arch dimension measurement through cone beam computed tomography: effect of age and gender. Res J Recent Sci. 2014;2277:2502.

    Google Scholar 

  7. Bansal V, Konidena A, Nagi R, et al. Correlation of pulp-to-tooth area ratio with age and gender using CBCT of maxillary central incisor and canine: A comparative study. J Indian Acad Dent Spec Res. 2022;34:87.

    Article  Google Scholar 

  8. Denny C, Bastian T, Natarajan S, Thilak N, Binnal A. The Coronal Pulp Cavity Index an aid in age determination-A Cone Beam Computed Tomography Study. Indian J Forensic Med Toxicol. 2021;15:896–902.

    Google Scholar 

  9. Salam EA, Khalifa AR, Hassouna DM. Odontometric analysis using CBCT for sexual dimorphism in Egyptian-Fayoum population in case of normal occlusion. Egypt Dent J. 2021;67:1319–32.

    Article  Google Scholar 

  10. da Silva PR, Lopes MC, Martins-Filho IE, Haye Biazevic MG, Michel-Crosato E. Tooth crown mesiodistal measurements for the determination of sexual dimorphism across a range of populations: A systematic review and meta-analysis. J Forensic Odontostomatol. 2019;37:2–19.

    PubMed  Google Scholar 

  11. Munn Z, Stern C, Aromataris E, Lockwood C, Jordan Z. What kind of systematic review should I conduct? A proposed typology and guidance for systematic reviewers in the medical and health sciences. BMC Med Res Methodol. 2018;18:5.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Whiting PF, Rutjes AW, Westwood ME, et al. QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med. Oct 18 2011;155:529–36.

    Article  PubMed  Google Scholar 

  13. Tardivo D, Sastre J, Ruquet M, Thollon L, Adalian P, Leonetti G, Foti B. Three-dimensional modeling of the various volumes of canines to determine age and sex: a preliminary study. J Forensic Sci. 2011;56(3):766-70.

  14. Tardivo D, Sastre J, Catherine JH, Leonetti G, Adalian P, Foti B. Gender Determination of Adult Individuals by Three-Dimensional Modeling of Canines. J Forensic Sci. 2015;60(5):1341-5.

  15. García-Campos C, Martinón-Torres M, Martínez de Pinillos M, Modesto-Mata M, Martín-Francés L, Perea-Pérez B, Zanolli C, Bermúdez de Castro JM. Modern humans sex estimation through dental tissue patterns of maxillary canines. Am J Phys Anthropol. 2018;167(4):914-923.

  16. García-Campos C, Martinón-Torres M, Martín-Francés L, Martínez de Pinillos M, Modesto-Mata M, Perea-Pérez B, Zanolli C, Labajo González E, Sánchez Sánchez JA, Ruiz Mediavilla E, Tuniz C, Bermúdez de Castro JM. Contribution of dental tissues to sex determination in modern human populations. Am J Phys Anthropol. 2018;166(2):459-472.

  17. Krenn VA, Fornai C, Wurm L, Bookstein FL, Haeusler M, Weber GW. Variation of 3D outer and inner crown morphology in modern human mandibular premolars. Am J Phys Anthropol. 2019;169(4):646-663.

  18. Sorenti M, Martinón-Torres M, Martín-Francés L, Perea-Pérez B. Sexual dimorphism of dental tissues in modern human mandibular molars. Am J Phys Anthropol. 2019;169(2):332-340.

  19. Manhaes-Caldas D, Oliveira ML, Groppo FC, Haiter-Neto F. Volumetric assessment of the dental crown for sex estimation by means of cone-beam computed tomography. Forensic Sci Int. 2019;303:109920.

    Article  PubMed  Google Scholar 

  20. Porto LV, da Silva C, Neto J, Anjos Pontual AD, Catunda RQ. Evaluation of volumetric changes of teeth in a Brazilian population by using cone beam computed tomography. J Forensic Legal Med. 2015;36:4–9.

    Article  Google Scholar 

  21. Fauzi NQ. Mesiodistal Width of Mandibular Central Incisors between Different Genders in Chennai Population Using Cone Beam Computed Tomography. Indian J Forensic Med Toxicol. 2021;15:1–7.

    Google Scholar 

  22. Rahman F, Ramakrishnan M. Mesiodistal width of maxillary central incisors between different genders in Indian population-A cross cone-beam computed tomography study. Drug Invent Today. 2019;11:1–5.

    Google Scholar 

  23. Esmaeilyfard R, Paknahad M, Dokohaki S. Sex classification of first molar teeth in cone beam computed tomography images using data mining. Forensic Sci Int. 2021;318:110633.

    Article  PubMed  Google Scholar 

  24. Paknahad M, Dokohaki S, Khojastepour L, Shahidi S, Haghnegahdar A. A Radio-Odontometric Analysis of Sexual Dimorphism in First Molars Using Cone-Beam Computed Tomography. Am J Forensic Med Pathol. 2022;43(1):46–51.

    Article  PubMed  Google Scholar 

  25. Shalakizadeh M, Razi T, Emamverdizadeh P, Razi S. Relationship between body height and the length of canine teeth in terms of jaw and Gender using the CBCT technique in patients. Forensic Imag. 2020;21:200372.

    Article  Google Scholar 

  26. Kavas AA, Tümen EC. Volumetric pulp chambers measurements in mandibular and maxillary permanent first molar using cone-beam computed tomography by age and gender. Int Dent Res. 2019;9:30–40.

    Article  Google Scholar 

  27. Topbas NK, Okkesim A. Usability of first molar teeth measurements for age and sex estimation in cone-beam computed tomography images. Mersin Üniversitesi Tıp Fakültesi Lokman Hekim Tıp Tarihi ve Folklorik Tıp Dergisi. 2021;11:576–87.

    Article  Google Scholar 

  28. Yagci F, Turker G, Yilanci H. Determination of the thickness of the safe enamel for laminate veneer preparation and orthodontic stripping by CBCT. Niger J Clin Pract. 2021;24:525–33.

    Article  CAS  PubMed  Google Scholar 

  29. Warnecki M, Żak M, Szkoda-Poliszuk K, Kawala B, Sarul M. Does Sex, Skeletal Class and Mandibular Asymmetry Affect Tooth Length and Asymmetry in Tooth Length? Symmetry. 2022;14:1069.

    Article  Google Scholar 

  30. De Koninck A, Azevedo Á, Cardoso M, Teixeira A, Pérez-Mongiovi D. Bucco-lingual root dimension of permanent mandibular canines as a complementary estimator of sex: a pilot study. Rev Port Estomatol Med Dent Cir Maxilofac. 2021;62:217–22.

    Article  Google Scholar 

  31. Маrchenko АV, Gunas ІV, Petrushanko TO, Serebrennikova O, Trofimenko YY. Computer-tomographic characteristics of root length incisors and canines of the upper and lower jaws in boys and girls with different craniotypes and physiological bite. Wiad Lek. 2017;70:499–502.

    PubMed  Google Scholar 

  32. De Angelis D, Gibelli D, Gaudio D, et al. Sexual dimorphism of canine volume: a pilot study. Legal Med. 2015;17:163–6.

    Article  PubMed  Google Scholar 

  33. Llena C, Fernandez J, Ortolani PS, Forner L. Cone-beam computed tomography analysis of root and canal morphology of mandibular premolars in a Spanish population. Imaging Sci Denti. 2014;44:221–7.

    Article  Google Scholar 

  34. Prabhu S, Acharya AB. Odontometric sex assessment in Indians. Forensic Sci Int. 2009;192(129):e1–5.

    Article  Google Scholar 

  35. Thapar R, Angadi PV, Hallikerimath S, Kale AD. Sex assessment using odontometry and cranial anthropometry: evaluation in an Indian sample. Forensic Sci Med Path. 2012;8:94–100.

    Article  Google Scholar 

  36. Alvesalo L. Sex chromosomes and human growth. A dental approach. Hum Genet. 1997;101(1):1–5.

    Article  CAS  PubMed  Google Scholar 

  37. Azevedo Á, Pereira ML, Gouveia S, Tavares JN, Caldas IM. Sex estimation using the mandibular canine index components. Forensic Sci Med Pathol. 2019;15(2):191–7.

    Article  PubMed  Google Scholar 

  38. Dempsey PJ, Tonsend GC. Genetic and environmental contributions to variation in human tooth size. Heredity. 2001;86(Pt 6):685–93.

    Article  CAS  PubMed  Google Scholar 

  39. Awawdeh LA, Al-Qudah AA. Root form and canal morphology of mandibular premolars in a Jordanian population. Int Endod J. 2008;41(3):240–8.

    Article  CAS  PubMed  Google Scholar 

  40. Chandler NP, Pitt Ford TR, Monteith BD. Coronal pulp size in molars: a study of bitewing radiographs. Int Endod J. 2003;36(11):757–63.

    Article  CAS  PubMed  Google Scholar 

  41. Viciano J, Alemán I, D'Anastasio R, Capasso L, Botella MC. Odontometric sex discrimination in the Herculaneum sample (79 AD, Naples, Italy), with application to juveniles. Am J Phys Anthropol. 2011;145(1):97–106.

    Article  PubMed  Google Scholar 

  42. Jayasinghe RM, Thilakumara IP, Hettiarachchi P, Fonseka MCN, Nanayakkara CD, Jayasinghe RD. Morphometric analysis of maxillary arch dimensions using Cone Beam Computer Tomography (CBCT). J Oral Biol Craniofacial Res. 2022;12(5):500–4.

    Article  CAS  Google Scholar 

  43. Fernée C, Zakrzewski S, Robson BK. Dimorphism in dental tissues: Sex differences in archaeological individuals for multiple tooth types. Am J Phys Anthropol. 2021;175(1):106–27.

    Article  PubMed  Google Scholar 

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Ajmal, M.A., Roberts, T.S., Beshtawi, K.R. et al. Sexual dimorphism in odontometric parameters using cone beam CT: a systematic review. Head Face Med 19, 6 (2023).

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