Statement of the Problem: Sex determination, using skeletal remains, is of paramount importance in forensic studies. The skull accounts for the most sexual dimorphism after the pelvis. Recent studies have shown that paranasal sinuses are valuable in sex determination and considering the location of the sphenoid sinus, the risk of traumatic injuries to this structure is low.
Purpose: The present study aimed to evaluate the morphology of the sphenoid sinus and determine the validity of sphenoid sinus volume (SSV) in sex determination using cone beam computed tomography (CBCT) images.
Materials and Method: In this cross-sectional retrospective study, CBCT images of 469 Iranian patients (186 male and 283 female), aged 24-45 years, were selected. The morphology of the sphenoid sinus was recorded. 3D Slicer software (4.10.0) was used to assess SSVs in coronal and axial planes. For data analysis, t-test, chi-square test, and discriminant function analysis (DFA) were performed using predictive analytics software (ver. 18.0).
Results: The most common morphology of the sphenoid sinus in both genders was the sellar type (50.5%). SSV was significantly larger in males than in females (p< 0.001). DFA showed that the capability of SSV in sex identification was 86.0% and 92.9% in males and females, respectively.
Conclusion: The findings of this study suggest that SSV is a reliable variable in gender discrimination in a northeast Iranian population. However, since the morphology of the sphenoid sinus and sex were independent of each other, the morphology of the sphenoid sinus is not a suitable indicator for sex determination.
Numerous studies have shown that human remains play a key role in sex determination, including fingerprint, dental morphology, cheiloscopy, and radiologic examination. However, only hard tissues, such as bones, of human remains remain intact over time [ 1 - 2 ].
Sex determination from human bones is usually performed using metric and morphological (non-metric) analyses. Metric analyses are quantitative and objective and use anatomical references; therefore, they are repeatable [ 3 ]. On the contrary, morphologic analyses are qualitative and subjective, and therefore observing the morphology as well as the experience of the observer plays a fundamental role, which is a limitation [ 3 - 4 ].
Bones exhibiting the most marked sexual dimorphism include the pelvis, cranium, and long bones [ 5 ]. In cases where the skeleton is well-preserved, sex determination is 100% accurate. However, bones, particularly the pelvis and long bones, are usually found in separate pieces, thus often making sex determination difficult [ 6 ]. Given that only the cranium is preserved in most severe events, sex determination studies using the dimension and morphology of the cranium have significantly increased [ 7 ]. Paranasal sinuses are cranial components consisting of frontal, ethmoidal, maxillary, and sphenoid sinuses. These structures remain intact in most cases; therefore, they can be used in sex determination according to their dimensional characteristics [ 6 , 8 - 9 ].
The sphenoid sinuses are paired spaces formed within the body of the sphenoid bone beneath the sella turcica. Due to their location inside the skull, these sinuses are at low risk for traumatic and pathologic injuries. Furthermore, sphenoid sinuses develop earlier than other paranasal sinuses and reach their adult size at around 12 years of age [ 10 ]. Depending on the extent to which the sphenoid bone is pneumatized, the sphenoid sinus is categorized into conchal, presellar, sellar, and postsellar types [ 11 - 12 ]. A detailed preoperative radiomorphometric assessment of the sphenoid sinus is necessary to ensure a successful transsphenoidal endoscopic surgery [ 13 - 14 ]. This is because the sinus is surrounded by vital structures including the internal carotid artery, optic nerve, and maxillary nerve [ 15 ]. From a forensic point of view, if the sphenoid sinus morphology and gender are not independent of each other, the finding could be useful in distinguishing between the sexes.
There are various methods for morphometric and volumetric assessment of the sphenoid sinus; however, cone beam computed tomography (CBCT) is preferred over other methods such as computerized tomography (CT) due to low X-ray exposure, minimum costs, and field of view (FOV) compatibility with the understudy region [ 16 - 17 ]. Given that the skeletal properties of individuals differ in various populations due to environmental, nutritional, and genetic factors, it is necessary to form specialized models of sex determination to generate reliable and accurate information [ 18 ].
The present study aimed to evaluate the relationship between the morphology of sphenoid sinus and sex and to compare the sphenoid sinus volume (SSV) between the two genders. In addition, the main purpose of our research was to construct discriminant function models for sex determination from the sphenoid sinus in the northeast Iranian population.
Materials and Method
In this retrospective study, 469 CBCT images of 564 patients who were referred to a private oral and maxillofacial radiology clinic in Mashhad, Iran, were studied (Table 1). The patients were referred for paranasal sinus examination between 2017 and 2021. All patients had normal dentition. Patients with a history of trauma, head and neck syndromes, and increased mucosal thickness in each of the paranasal sinuses were excluded from the study (95 patients).
|Number of samples (%)||186 (39.7)||283 (60.3)||469 (100)|
|95% CI||34.30; 35.82||33.62; 34.73||34.07; 34.98|
|CI: confidence interval; S.D.: standard deviation|
All the CBCT images were prepared using Promax 3D Mid (Planmeca Oy, Helsinki, Finland) unit. Exposure factors were as follows: 90 kVp, 4 mA, acquisition time 13.5 s, voxel size 0.4 mm, and FOV 16.0×17.5cm.
Volumetric and morphological assessment
3D Slicer (version 4.10.0; https://www.slicer.org) was used for the assessment of SSV. First, a Digital Imaging and Communications in Medicine (DICOM) format of the file was imported into the 3D Slicer, then the area was manually painted alternately (one out of two slices) in the segment editor using the paint tool [ 19 ]. Using the Fill between slices option, the unpainted slices were painted via the interpolation process; ultimately, the segmentation and volume measurement processes were completed in the Data and Models modules [ 20 - 21 ]. It should be noted that the segmentation and volume determination were conducted in the two axial and coronal planes (Figure 1a, b), and the mean of the two was considered as the SSV. The images were observed and the volumes were accordingly measured using a 22-inch LCD monitor with a 1920×1080-pixel screen resolution. Morphological classification of the sphenoidal sinus (Figure 2a-c) and volume measurements were conducted by an oral and maxillofacial radiologist with around 15 years of experience (A.B.). The intra-observer error for SSV measurements was calculated after a 1-month interval by re-measuring the SSV in 50 (≈10%) samples. The two measurements were then analyzed using paired t-test.
Predictive analytics software version 18.0 (SPSS Inc., Chicago, IL, USA) was used for statistical analysis. The Kolmogorov-Smirnov (K-S) test was used to evaluate the distribution of age and SSV. SSV comparison between the two genders was conducted using the independent t-test, and evaluation of the independence of the study’s qualitative variables (gender and sinus morphology) was conducted using the chi-square test. Ultimately, discriminant function analysis (DFA) was used to determine if sinus volume could be used in sex differentiation. If the p value was less than 0.05, the results were considered statistically significant.
The assessment of normality distribution of age and SSV was conducted in all samples for each gender using the K-S test. The K-S test showed that age and volume data were normally distributed (p> 0.05). Therefore, parametric tests were used in all analyses. In addition, we tested the intra-observer error to verify the reliability of the SSV measurements. Evaluation of the SSV using paired t-test in a 1-month interval showed no significant difference (p= 0.68). Moreover, the evaluation of mean age in the two understudied genders using an independent t-test did not indicate any significant difference (p=0.07).
The conchal type morphology was not observed in any of the samples in this study. The relationship between sphenoid sinus and gender is shown in Table 2. Pearson’s chi-square test showed that the morphology of sphenoid sinus and gender were independent of each other (χ2= 0.93, p= 0.63). The most common morphology in the two genders was the sellar type (around 50% of the cases) (Table 2).
|Male (%)||Female (%)|
|Pearson Chi-Square (χ2)= 0.93, p= 0.63|
Volumetric dimension analysis
The independent t-test showed a significant difference in SSV between the two genders (p< 0.001). The SSV in sellar and postsellar types was significantly different between the two genders (p< 0.001). However, this finding was not observed in the presellar type (p= 0.19) (Table 3).
|Volumetric Measurements (cm3±SD)|
|Unclassified: The morphology of the sphenoid sinus was not considered; S.D.: standard deviation|
Discriminant function analysis (DFA)
Considering the morphology of the sphenoid sinus and gender were independent of each other, the morphology of the sphenoid sinus was not used in DFA for sex determination. In the present study, SSV is an independent variable in sex determination. According to Table 4, the discriminant formula is as follows:
Discriminant Score = SSV × 0.316 + (-3.200)
|Canonical Discriminant Function Coefficients|
|Discriminant Score (D)= SSV×0.316+(-3.200)|
|Functions at group centroids||Female||Male||Classified as male if D >|
|Predicted Group Membership|
|90.2% of original grouped cases correctly classified.|
Group centroids (Table 4) indicate the mean discriminant scores for each gender. The sectioning point (0.217) was calculated in mean group centroids for females and males. Using the formula above, if the discriminant score is greater than the sectioning point, the sample is classified as male, and if it is lower than the sectioning point, it is classified as female. It should be noted that the more distant the discriminant score is from the sectioning point, the more accurate is the sex determination.
The sex classification accuracy of the DFA is shown in Table 4. In general, 86.0% (160/186) of the males and 92.9% (263/283) of the females were classified correctly. Misclassification error was reported more in males (14.0%) than in females (7.1%). This difference could be attributed to the higher number of females as compared to males in the present study. The overall accuracy of the DFA was 90.2%.
Sex determination is an important aspect of forensic medicine. Various studies on sexual dimorphism in human bones require the establishment of specialized anthropometric standards for different populations [ 5 , 22 ]. Therefore, this study was conducted due to the lack of similar studies on the morphology and SSV in sex determination in the Iranian population.
The sphenoid sinuses are a pair of air-filled spaces in the sphenoid bone. These cavities are small at birth, and their dominant growth takes place after puberty. They expand posteriorly into the presellar region in infancy, and then extend into the region under and behind the sella turcica, eventually reaching full size throughout adolescence [ 23 ]. Furthermore, their deep location inside the skull makes them less vulnerable to injuries and pathologic changes, thus remaining intact on a dry skull [ 10 ].
Various studies have been conducted in forensic medicine using CBCT devices [ 9 , 15 , 18 , 24 - 26 ]. Compared to multislice CT, CBCT has great advantages of lower imaging costs, ease of use, and higher resolution in particular [ 27 ]. Various studies [ 24 , 28 ] have suggested the application of CBCT images in the evaluation of paranasal sinuses. Dimensional and volumetric accuracy in CBCT is superior to conventional CT. Since CBCT has isotropic voxels in all directions, except for the high resolution of axial planes in CT, longitudinal planes are reformatted by a summation of axial CT images [ 29 ].
In this study, a 3D Slicer was used to measure the volume of the sphenoid sinus. 3D Slicer is a free, open source, and multi-platform medical image processing software. This software works both manually and semi-automatic for segmentation. Furthermore, it is DICOM compatible and does not require any advanced hardware, which is one of its added advantages [ 19 ]. According to numerous studies [ 20 - 21 , 30 ], 3D slicer has a high level of accuracy in segmentation and volume rendering, thus making it an appropriate choice for the current research.
Some studies have found a relationship between dentition status and changes in the skull components [ 31 - 32 ]. This relationship supports the biomechanical theory suggesting the distribution of masticatory forces from the mandible to the cranium. Since the sphenoid sinus is located at the base of the sphenoid bone, changes in the shape and size of this bone are associated with cranial growth [ 33 ]. Therefore, similar to Ramos et al.’s study [ 25 ], patients with complete dentition were selected to avoid possible changes in the measurements in the present study. Furthermore, the absence of pathologic changes in paranasal sinuses and the adjacent tissues was an important factor considered in this study.
Reliability and reproducibility of measurements are of paramount importance in forensics; therefore, the measurements should be made by experts who have a comprehensive understanding of the studied subjects. All the measurements were conducted by an oral and maxillofacial radiologist (A.B.) with around 15 years of experience. The paired t-test showed no significant difference in the before and after volume measurements (p= 0.68), showing an acceptable intra-observer agreement in the present study.
Linear analyses are not sufficiently accurate due to the anatomic complexities of the paranasal sinuses [ 34 ]. A study conducted by Ramos et al. [ 25 ] using CBCT images measuring linear and volumetric dimensions of the sphenoid sinus in 268 Brazilian patients concluded that linear measurements were not significantly different between the two genders (p> 0.05); however, SSV significantly differed (males 11.36±4.23 vs females 10.00± 3.61cm3, p≤ 0.01). In addition, this significant difference in SSV between the two genders was observed in studies conducted by Pirinc et al. [ 35 ] and Lentzen et al. [ 28 ] as well as our study that concluded males have a statistically significant larger SSV than females (p< 0.05). Nevertheless, a study by Oliveira et al. [ 36 ] used helical CT to assess the SSV of 27 females and 20 males aged 18-86 years and observed no significant difference in the sinus volume between the two genders. This could be attributed to the small sample size compared to the wide age range used in this study.
Successful transsphenoidal endoscopic surgery requires a detailed preoperative morphological evaluation of the sphenoid sinus. This is because the sphenoid sinus is surrounded by vital structures such as the internal carotid artery, optic nerve, and maxillary nerve [ 13 - 15 ]. Knowledge of the shape and pneumatization patterns of the sphenoid sinus can help assess the risk of accidentally damaging this area [ 11 ]. From a forensic point of view, if the morphology of the sphenoid sinus and gender are related, the finding could be useful in distinguishing between the genders. The morphology of the sphenoid sinus was categorized into four types in the present study. In our study, the most common morphology was the sellar type (50.5%), followed by the postsellar (40.3%) and presellar (9.2%) types. The prevalence of different types of sphenoid sinus morphology varies in different studies; however, the most common morphology is the sellar type [ 11 , 14 , 35 ], which is consistent with the present study. The absence of conchal type morphology in our study was similar to the findings of Hiremath et al. [ 37 ]. However, in their study, in contrast to our results, postsellar morphology was the most common type (76.6%). In addition, the results of the current study found no significant statistical difference in the prevalence of different sphenoid sinus morphologies between both genders (p= 0.63). Thus, sphenoid sinus morphology was not a suitable variable for gender discrimination.
The DFA was used for sex determination based on SSV in the present study. The independent variable in the present study was SSV, and the grouping variable was the gender of the understudied population. The results of the current study showed that the accuracy of sex determination was 86.0% and 92.9% in males and females, respectively. In simple terms, using the SSV, 92.9% of the females were determined as female and diagnostic accuracy was 86.0% for males; 14.0% of them were wrongly categorized as female. The efficiency of paranasal sinuses in sex determination using DFA has been reported in various studies [ 8 - 9 , 24 , 38 - 40 ]. The ability to differentiate gender by maxillary sinuses has been reported in different studies, such as Uthman et al. [ 6 ] (73.9%), Amin et al. [ 38 ] (66.7%), Radulesco et al. [ 39 ] (68.0%), and Paknahad et al. [ 24 ] (76.0%). These measurements varied from 66.7% to 76.0%. The sex determination strength of frontal sinuses in the studies of Uthman et al. [ 8 ] and Michel et al. [ 40 ] was 76.9% and 72.5%, respectively. Compared to our study, frontal and maxillary sinuses alone had a lower sex determination capability. However, Wanzeler et al. [ 9 ], who used maxillary, frontal, and sphenoid sinuses and foramen magnum dimensions in sex determination, concluded that when all the three sinuses were used in sex determination, the diagnostic accuracy was 96.2% in males and 92.7% in females, and if the foramen magnum dimensions were added to the equations, the accuracy increased to 100%. Furthermore, in their study, the effectiveness of SSV in sex determination between males and females was 73.7% and 81.93%, respectively. The differences between the reported accuracy in the various studies could be attributed to race, statistical, radiographic techniques, and sample size differences. The difference in race has been reported as an influencing factor in the difference between the volumes of paranasal sinuses, which could explain the dissimilarities in previous studies [ 41 ].
This study had some limitations. The study was conducted in Mashhad, which is the second most populated city of Iran, located in the northeast of the country. All the selected samples were only from the North East of Iran, and therefore do not reflect the total Iranian population. Another limitation was that all the images were evaluated by only one examiner. We recommend that further studies be conducted in different geographical areas of Iran with larger samples so that the results can be generalized to the entire Iranian population.
Based on the results of this study, although SSV has been a reliable variable in sex determination in a northeastern Iranian population, the morphology of the sphenoid sinus is not a suitable indicator for sex determination since the morphology of the sphenoid sinus and sex are independent. To generalize these results to the entire Iranian population, multicenter national studies covering different geographical areas are required.
Due to the retrospective nature of this study, which focused on archived images, the CBCT images were studied anonymously. For this reason, patient identities remained unknown. This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
Conflict of Interest
The authors declare that they have no conflict of interest.
- 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.
- Bansal N, Sheikh S, Bansal R, Pallagati S. Correlation between lip prints and finger prints in sex determination and pattern predominance in 5000 subjects. J Forensic Odontostomatol. 2013; 31: 8-14.
- Steyn M, Işcan MY. Metric sex determination from the pelvis in modern Greeks. Forensic Sci Int. 2008; 179: e1-e6.
- Peckmann TR, Orr K, Meek S, Manolis SK. Sex determination from the talus in a contemporary Greek population using discriminant function analysis. J Forensic Leg Med. 2015; 33: 14-19.
- Shehri FA, Soliman KE. Determination of sex from radiographic measurements of the humerus by discrim-inant function analysis in Saudi population, Qassim region, KSA. Forensic Sci Int. 2015; 253: e1-e6.
- Uthman AT, Al-Rawi NH, Al-Naaimi AS, Al-Timimi JF. Evaluation of maxillary sinus dimensions in gender determination using helical CT scanning. J Forensic Sci. 2011; 56: 403-408.
- Hinchliffe J. Forensic odontology, part 2. Major disasters. Br Dent J. 2011; 210: 269-274.
- Uthman AT, Al-Rawi NH, Al-Naaimi AS, Tawfeeq AS, Suhail EH. Evaluation of frontal sinus and skull measurements using spiral CT scanning: an aid in unknown person identification. Forensic Sci Int. 2010; 197: 124 e1-7.
- Wanzeler AMV, Alves-Júnior SM, Ayres L, da Costa Prestes MC, Gomes JT, Tuji FM. Sex estimation using paranasal sinus discriminant analysis: a new approach via cone beam computerized tomography volume analysis. Int J Legal Med. 2019; 133:1977-1984.
- Vidić B. The postnatal development of the sphenoidal sinus and its spread into the dorsum sellae and posterior clinoid processes. Am J Roentgenol Radium Ther Nucl Med. 1968; 104: 177-183.
- Štoković N, Trkulja V, Dumić-Čule I, Čuković-Bagić I, Lauc T, Vukičević S, et al. Sphenoid sinus types, dimensions and relationship with surrounding structures. Ann Anat. 2016; 203: 69-76.
- Kayalioglu G, Erturk M, Varol T. Variations in sphenoid sinus anatomy with special emphasis on pneumatization and endoscopic anatomic distances. Neurosciences (Riyadh). 2005; 10: 79-84.
- Meyers RM, Valvassori G. Interpretation of anatomic variations of computed tomography scans of the sinuses: a surgeon's perspective. Laryngoscope. 1998; 108: 422-425.
- Idowu OE, Balogun BO, Okoli CA. Dimensions, septation and pattern of pneumatization of the sphenoidal sinus. Folia Morphol (Warsz). 2009; 68: 228-232.
- Nejaim Y, Farias Gomes A, Valadares CV, Costa ED, Peroni LV, Groppo FC, et al. Evaluation of volume of the sphenoid sinus according to sex, facial type, skeletal class, and presence of a septum: a cone-beam computed tomographic study. Br J Oral Maxillofac Surg. 2019; 57: 336-340.
- Saccucci M, Cipriani F, Carderi S, Di Carlo G, D'Attilio M, Rodolfino D, et al. Gender assessment through three-dimensional analysis of maxillary sinuses by means of cone beam computed tomography. Eur Rev Med Pharmacol Sci. 2015; 19:185-93.
- Weissheimer A, Menezes LM, Sameshima GT, Enciso R, Pham J, Grauer D. Imaging software accuracy for 3-dimensional analysis of the upper airway. Am J Orthod Dentofacial Orthop. 2012; 142: 801-813.
- Farias Gomes A, de Oliveira Gamba T, Yamasaki MC, Groppo FC, Haiter Neto F, Possobon RF. Development and validation of a formula based on maxillary sinus measurements as a tool for sex estimation: a cone beam computed tomography study. Int J Legal Med. 2019; 133: 1241-1249.
- Fedorov A, Beichel R, Kalpathy-Cramer J, Finet J, Fillion-Robin JC, Pujol S, et al. 3D Slicer as an image computing platform for the Quantitative Imaging Network. Magn Reson Imaging. 2012; 30: 1323-1341.
- Egger J, Kapur T, Nimsky C, Kikinis R. Pituitary adenoma volumetry with 3D Slicer. PLoS One. 2012; 7:e51788.
- Wang HW, Wu C, Xue Z, Shu XJ, Sun ZH. A Supplemental Technique for Preoperative Evaluation of Giant Intracranial Aneurysm. J Neurol Surg A Cent Eur Neurosurg. 2021; 82: 424-429.
- Dong H, Deng M, Wang W, Zhang J, Mu J, Zhu G. Sexual dimorphism of the mandible in a contemporary Chinese Han population. Forensic Sci Int. 2015; 255:9-15.
- Mohebbi A, Rajaeih S, Safdarian M, Omidian P. The sphenoid sinus, foramen rotundum and vidian canal: a radiological study of anatomical relationships. Braz J Otorhinolaryngol. 2017; 83: 381-387.
- Paknahad M, Shahidi S, Zarei Z. Sexual Dimorphism of Maxillary Sinus Dimensions Using Cone-Beam Computed Tomography. J Forensic Sci. 2017; 62: 395-398.
- Ramos BC, Manzi FR, Vespasiano AI. Volumetric and linear evaluation of the sphenoidal sinus of a Brazilian population, in cone beam computed tomography. J Forensic Leg Med. 2021; 77: 102097.
- 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.
- Izzetti R, Gaeta R, Caramella D, Giuffra V. Cone-Beam Computed Tomography vs. Multi-Slice Computed Tomography in paleoimaging: where we stand. Homo. 2020; 71: 63-72.
- Lentzen MP, Zirk M, Riekert M, Buller J, Kreppel M. Anatomical and Volumetric Analysis of the Sphenoid Sinus by Semiautomatic Segmentation of Cone Beam Computed Tomography. J Craniofac Surg. 2021; 32: 1166-1170.
- Araki K, Maki K, Seki K, Sakamaki K, Harata Y, Sakaino R, et al. Characteristics of a newly developed dentomaxillofacial X-ray cone beam CT scanner (CB Mercu Ray): system configuration and physical properties. Dentomaxillofac Radiol. 2004; 33: 51-59.
- Lo Giudice A, Quinzi V, Ronsivalle V, Farronato M, Nicotra C, Indelicato F, et al. Evaluation of Imaging Software Accuracy for 3-Dimensional Analysis of the Mandibular Condyle. A Comparative Study Using a Surface-to-Surface Matching Technique. Int J Environ Res Public Health. 2020; 17: 4789.
- Chalk J, Richmond BG, Ross CF, Strait DS, Wright BW, Spencer MA, et al. A finite element analysis of masticatory stress hypotheses. Am J Phys Anthropol. 2011; 145: 1-10.
- Toro-Ibacache V, Zapata Muñoz V, O'Higgins P. The relationship between skull morphology, masticatory muscle force and cranial skeletal deformation during biting. Ann Anat. 2016; 203:59-68.
- Shahbazian M, Xue D, Hu Y, van Cleynenbreugel J, Jacobs R. Spiral computed tomography based maxillary sinus imaging in relation to tooth loss, implant placement and potential grafting procedure. J Oral Maxillofac Res. 2010; 1:e7.
- Möhlhenrich SC, Heussen N, Peters F, Steiner T, Hölzle F, Modabber A. Is the Maxillary Sinus Really Suitable in Sex Determination? A Three-Dimensional Analysis of Maxillary Sinus Volume and Surface Depending on Sex and Dentition. J Craniofac Surg. 2015; 26: e723-e726.
- Pirinc B, Fazliogullari Z, Guler I, Unver Dogan N, Uysal II, Karabulut AK. Classification and volumetric study of the sphenoid sinus on MDCT images. Eur Arch Otorhinolaryngol. 2019; 276: 2887-2894.
- Oliveira JM, Alonso MB, de Sousa ETMJ, Fuziy A, Scocate AC, Costa AL. Volumetric study of sphenoid sinuses: anatomical analysis in helical computed tomography. Surg Radiol Anat. 2017; 39: 367-374.
- Hiremath SB, Gautam AA, Sheeja K, Benjamin G. Assessment of variations in sphenoid sinus pneumatization in Indian population: A multidetector computed tomography study. Indian J Radiol Imaging. 2018; 28: 273-279.
- Amin MF, Hassan EI. Sex identification in Egyptian population using Multidetector Computed Tomography of the maxillary sinus. J Forensic Leg Med. 2012; 19: 65-69.
- Radulesco T, Michel J, Mancini J, Dessi P, Adalian P. Sex Estimation from Human Cranium: Forensic and Anthropological Interest of Maxillary Sinus Volumes. J Forensic Sci. 2018; 63: 805-808.
- Michel J, Paganelli A, Varoquaux A, Piercecchi-Marti MD, Adalian P, Leonetti G, et al. Determination of sex: interest of frontal sinus 3D reconstructions. J Forensic Sci. 2015; 60: 269-273.
- Kawarai Y, Fukushima K, Ogawa T, Nishizaki K, Gunduz M, Fujimoto M, et al. Volume quantification of healthy paranasal cavity by three-dimensional CT imaging. Acta Otolaryngol Suppl. 1999; 540: 45-49.