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Journal of Stomatology
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vol. 75
Original paper

Examination of incidental intra-cranial and extra-cranial head and neck calcifications using cone-beam computed tomography

Elif Polat
Kaan Orhan

Department of Dentomaxillofacial Radiology, Faculty of Dentistry, Ankara University, Ankara, Turkey
J Stoma 2022; 75, 4: 222-230
Online publish date: 2022/12/20
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Following the development of three-dimensional (3D) cone-beam computed tomography (CBCT) in 1990s [1], in recent years, this method has been established in dentistry due to high resolution and detail [2], offered by CBCT in imaging the maxilla and mandible. In addition, multiplane images produced by CBCT provide a different perspective in assessing patient’s needs compared with two-dimensional images produced by conventional radiographs. In addition to examining dental structures, CBCT allows the evaluation of anatomical formations, including temporomandibular joints (TMJ), paranasal sinuses, and pathological formations, such as soft-tissue calcifications of the neck and ponticulus posticus [3-5]. CBCT reveals not only anatomy, but also hidden pathology, reducing the risk of neglecting a clinically significant disease [6]. Additionally, the high resolution and detail imaging of CBCT increase the chances of discovering incidental findings (IFs). IF can be defined as a radiographic or tomographic image with any discovery unrelated to the original purpose of examination, which can range from anatomical variations to benign and malignant lesions [7]. CBCT examinations with a large field of view (FOV) can reveal incidental findings, such as anatomic variants of the cervical spine and calcifications of the carotid artery in the neck. These findings’ location and radiologic features can be critical [3-5]. Failure to diagnose and follow-up with IFs can have negative consequences for the patient, and cause dentists to neglect their legal responsibilities. Although often overlooked, evaluation of all structures included in the examination is required according to the guidelines of the American Academy of Oral and Maxillofacial Radiology. Therefore, the dentist evaluating a CBCT image should be aware of all the structures included in the image, except the dento-maxillary complex [4]. Most dentists, who are not radiologists, are not qualified to interpret anato¬mical structures and/or pathologies other than teeth and jaws [8]. In the current literature, no study examined calcifications in the head and neck region, including carotid artery calcifications (CAC), ponticulus posticus, and intra-cranial calcifications at large FOV in CBCT images used in examination of the head and neck region.


The aim of this study was to determine the occurrence of incidental calcifications and vital calcifications, such as ponticulus posticus and CAC as well as age and gender prevalence in large FOV CBCT images, and to indicate the clinical significance of these calcifications.


Ethical approval was obtained from the Ethics Committee of the Faculty of Medicine, Ankara University (dated June, 7, 2021, with. approval No of 2021/143). The study was conducted in full compliance with the De¬claration of Helsinki.
In this study, CBCT records of patients admitted for various diagnostic reasons between 2013 and 2018 derived from the archives of Ankara University, Faculty of Dentistry (AUDF) and Department of Oral, Dental, and Maxillofacial Radiology, were retrospectively analyzed. All indications for CBCT examination are specified in the official signed referral request at the AUDF Oral Radiology Unit. Demographic characteristics of the patients included in the study are shown in Table 1.
All of CBCT images used in the study were obtained with Planmeca ProMax 3D Max (Planmeca, Promax, Finland) device. Images with 230 mm × 270 mm and 230 mm × 170 mm FOV, 96 kVp, 5.6/7/8 mA, 9-12 seconds irradiation time, and 0.2 mm or 0.4 mm voxel sizes, were examined. Original software of the device, Planmeca Romexis (3.7; Planmeca, Helsinki, Finland), was applied for CBCT evaluations. All images were viewed and evaluated on a 21.3 inch flat panel, color active matrix, and thin-film transistor (TFT) medical monitor (NEC MultiSync MD215MG München, Germany) with 2,048 × 2,560 resolution at 75 Hz and 0.17 mm dot pitch at 11.9 bit. Any calcification finding unrelated to the purpose of CBCT request was recorded as an incidental finding. Patients’ age, gender, and CBCT imaging areas were recorded. Incidental calcification findings were grouped according to their location: complete ponticulus posticus (Figure 1A), partial ponticulus posticus (Figure 1B), intra-cranial calcification (Figure 1C), carotid artery calcification (Figure 1D), osteoma cutis (Figure 2A), nasal cavity calcification (Figure 2B), tonsillolith calcification (Figure 2C), sialolith (Figure 2D), styloid ligament calcification (Figure 2E-F), and lymph node calcification. Radiographic criteria for review of incidental findings were applied according to the specifications for differential diagnosis by White and Pharoah (7th edition) [9]. Radiopaque images, such as teeth, intra-oral prostheses, root remnants, and implants that presented with similar appearance to the calcification, were identified and excluded from the examination. In addition, findings of calcifications that were directly related to the primary indication for CBCT scans were excluded. Scans without 230 mm × 170 mm FOV and 230 mm × 270 mm FOV fields were excluded as well as CBCT scans with motion artifacts, poor diagnostic image quality, and positioning artifacts. Each volume was viewed in three orthogonal planes (axial, coronal, and sagittal views). Oblique sections were exa¬mined when a variation or pathology was found. Pano-ramic images were created to view the maxillary and mandibular teeth. Sections were viewed perpendicular to the created panoramic images to visualize the details. All scans were independently reviewed by a professor, oral and maxillofacial radiologist, and a resident with 3 years of training in oral and maxillofacial radiology. At the time of interpretation, all working conditions were similar and standardized, and any inconsistencies in assessments were unanimously resolved.


Data analysis was done with SPSS version 26.0 program, and it was analyzed with a 95% confidence level. Frequency (n) and percentage (%) statistics were given for categorical (qualitative) variables. In the study, 2 test was applied to determine the relationships between the variables. 2 is a test technique used to determine the relationship between two categorical variables. Pearson’s 2 test is applied, when the percentage of cells with an expected value less than 5 is 20% or less, while the test is considered invalid if it is greater than 20%. For this reason, Fisher’s exact test was used for such variables. In the study, 2 test was applied in the relationship between calcification status and types, gender, age, and image size.


Of the patients in our study, 46.8% were under 35 years of age, 41.5% were between 35 and 60 years of age, and 11.7% were over 60 years of age. The gender ratio was 55.6% in men, and 44.4% in women. The image size was 230 mm × 170 mm FOV in 58.5% of the analyzed images, and 230 mm × 270 mm FOV in 41.6%.
Calcification was observed in 75.4% of the patients, and not seen in 24.6%. Calcification was noted in the head in 53.2%, in the neck in 5.3%, and both the head and neck in 17.0% of the patients. Incidence rates by calcification type were as follows: complete ponticulus, posticus 8.81%; partial ponticulus posticus, 10.51%; intra- cranial calcification, 69.0%; carotid artery calcification, 1.2%; osteoma cutis, 1.2%; nasal cavity calcification, 0.58%; tonsillolith calcification, 4.7%; sialolith, 2.3%; styloid ligament calcification, 2.3%; and lymph node calcification, 0.0%.
Although there was no significant correlation, the rate of calcification was higher in patients with ages older than 60 years. While calcifications of the head and neck were more common in individuals under 35 years of age, the incidence of calcifications over 60 years of age was simultaneously higher on the right and left sides.
Intra-cranial calcification and complete ponticulus posticus were more common in patients over 60 years of age, carotid artery calcification, partial ponticulus posticus, and tonsilloliths were more common in the 35-60 age group, while osteoma cutis and calcification of stylohyoid ligament were more common under 35 years of age (Table 3).
When the incidence of calcification in all regions was examined, it was observed that it was generally higher in men, but there was no significant relationship between these two. Carotid artery calcification, osteoma cutis, complete ponticulus posticus, and partial ponticulus posticus were more commonly seen in women (Table 4).


In the current study examining incidental calcifications not directly related to the indication in large FOV CBCT scans, the rate of intra-cranial calcifications (Figure 1) was 69.0% (Table 2). In studies investigating intra-cranial calcifications with CBCT conducted by Sedghizadeh et al. [10], Bayrak et al. [11], and Yalcin et al. [12], the intra-cranial calcifications were determined as 35.2%, 33.1%, and 3.9%, respectively. In other study, Daghighi et al. [13] examined the rate of intra- cranial calcifications with medical CT, and the rates of intra-cranial calcifications were 71.0% and 69.3%, respectively. Researchers attributed the detection of more intra-cranial calcifications than CBCT in CT studies to the better soft-tissue contrast and less noise of CT, which allows clearer identification and differentiation of lesions in the brain [10, 11]. In our study using CBCT, the rate of intra-cranial calcification was found consistent with studies using CT [13]. In addition to these superior features of medical CT, one of the most striking features of CBCT imaging is that it has a high geometric resolution that produces a sufficient image for detailed examination of small tooth and bone structures, that is, it can distinguish objects with different attenuation values that are adjacent to each other [14, 15]. This diffe¬rence may be related to the specificity of different devices used in other studies and, in particular, to differences in FOV parameters used. In addition, ethnic differences in the studied populations may be an important criterion for the rate of intra-cranial calcification.
Carotid artery calcification (CAC) occurs when fatty deposits are formed in blood vessels of the carotid artery. This was found to effectively slow blood flow to the brain [3, 16]. Although the current literature on this topic is extensive and controversial, calcifications gene¬rally cause atherosclerosis and can lead to conditions, such as stroke [3, 17, 18]. In 2014, Selwaness et al. [19] observed that although most people have bilateral carotid disease, the presence of unilateral plaques is mostly found on the left side, and plaques on the left side are thicker than those on the right side. The plaques on the right side are predominantly calcified and considered more stable, leading to less thrombo-embolic complications. As a result of their study, it was shown that atherosclerotic plaques on the left side are more vulnerable than those on the right-side [19]. Previous studies have reported that atherosclerotic plaque calcification was ranging from 2.0% to 11.6% [7, 13, 15]. According to the results of our study, carotid artery calcification (Figure 1D) was 1.2% lower than in other studies (Table 2). This difference may be because the caro¬tid artery does not extend to the FOV area or the population studied in our study was under 35 years of age.
CAC can be visualized on panoramic radiographs at a level of C3 and C4 under the mandibular angle pro-ximal to the cervical vertebra [20]. De Weert et al. [21] found a highly significant correlation between carotid artery calcifications on panoramic radiographs and percentage of periodontal disease. This finding draws attention to the need to examine the images of patients, who have undergone CBCT with various indications in dentistry, taking into account their systemic status and detailed medical history. One limitation of using CBCT images to detect carotid artery calcifications is that, although most atherosclerotic lesions are calcified, some atheromas are not calcified and cannot be visualized on CBCT images. In other words, patients with CBCT image without carotid artery calcification may have atherosclerotic lesions [22, 23].
Incidental detection of carotid artery calcifications and reporting of these findings are very important. This diagnosis can be lifesaving, especially for people who are unaware of their cardiovascular disease. Studies have also shown that carotid artery calcifications correlate significantly with internal carotid artery stenosis when detected on CT angiography [24]. Therefore, it is recommended that the patient be referred to his/her physician for additional imaging procedures, such as CTA (computed tomography angiography), to evaluate intra-cranial atherosclerosis and other vascular abnormalities.
Ponticulus posticus (PP) is a bony bridge formed by the posterior portion of superior articular process of the atlas and the postero-lateral portion of superior border of the posterior arch of the atlas, enclosing all or part of the vertebral artery. Developmental anomalies of the atlas are of concern not only for anatomists, but also for clinicians, radiologists, surgeons, and chiropractors. Ponticulus posticus is generally considered a simple anatomic variant. However, compression of the neural and vascular structures, including vertebral artery, periarterial plexus, and sub-occipital nerve passing through the foramen, can cause a combination of symptoms, such as cervical migraine [23] and neuro-sensory hearing loss [25]. In some cases, neck pain, vertigo, shoulder/arm pain, postural muscle tone, and loss of consciousness [26] are the result of vertebrobasilar insufficiency. Those who have calcification of the ponticulus posticus, suffer from severe headaches in 56-90.0% of cases.
The retrospective nature of our study limited the evaluation of patients in terms of their clinical manifestations in the presence of ponticulus posticus. In a study conducted in Turkey in 2017, Buyuk et al. [27] determined the prevalence of ponticulus posticus as 43.04% in the adolescent population. Hong et al. [28] and Elliot et al. [29] found the overall prevalence of ponticulus posticus as 15.6% and 16.7%, respectively. In our study, the general prevalence of ponticulus posticus was 19.3% (Figure 1A).
As in other studies [27, 28], the high prevalence of ponticulus posticus in our study made it important to understand the unexplained clinical symptoms. The prevalence of ponticulus posticus has been investigated in radiological studies using cadavers, lateral radiographs, or computed tomography scans (CT) [27, 30]. Most of these studies were based on lateral radiographs, and it was not possible to determine whether ponticulus posticus was unilateral or bilateral on these radiographs. Therefore, our study examined total and partial ponticulus posticus separately (Figures 1A, 1B), and no difference was found between the right and left sides. As in previous CT and cadaver studies [29, 31, 32], no difference was observed between the right and left ponticulus posticus. In our study, the incidence of sialoliths was determined as 2.3%. Garay et al. [33] found a sialolith rate of 11.0% in their study with panoramic radiographs, while Yalcin et al. [12] observed a sialolith rate of 0.7% in their study with CBCT. These different results may be due to ethnic differences, sample characteristics, and FOV size of images. The rates of calcification of tonsilloliths and styloid ligament in CT images of 357 trauma patients were 32.2% and 24.3%, respectively [34]. In our study, these calcification types were 4.7% and 2.3%, respectively. This difference may be due to different working principles of CT and CBCT, ethnicity of the included population, and different sample sizes. Yalcin et al. [12] determined a rate of 1% for osteoma cutis in CBCT images analyzed. In this study, the rate was almost 1.2%. Additionally, more than one calcification was commonly seen in an image of the same patient. Although this finding was not clinically significant, it may be indicative of underlying pathology, and can pose a risk of arterial calcification at another time.
One of the limitations of this study is that the radiological evaluations of CBCT images were performed retrospectively. Therefore, no information was available about the medical history of the subjects other than age, sex, date of examination, and type of examination. Another limitation was the lack of clinical data and equipment that could be used in the differential diagnosis of calcifications. In addition, this study was conducted in a single-center, and the incidence of calcifications and associated risk factors may be different in other populations. In future studies, each type of calcification can be studied by relating it to age distribution and medical history of patients. Because the rate of incidental calcifications was found quite high, and particularly CAC and ponticulus posticus calcifications were critical, any finding in CBCTs should be carefully investigated and reported.


Calcification was found in 75.4% of the analyzed images in this study. In the images, it was found that all calcification rates were higher in men. The rate of calcification was also found to be higher, although not significant, over 60 years of age. Due to the high calcification rates in our study and the presence of critical calcifications, such as CAC and ponticulus posticus, all findings in CBCTs should be carefully investigated and reported.


The authors declare no potential conflicts of interest concerning the research, authorship, and/ or publication of this article.


1. Santos G, Ickow I, Job J, et al. Cone-beam computed tomography incidental findings in individuals with cleft lip and palate. Cleft Palate Craniofac J 2020; 57: 404-411.
2. Dief S, Veitz-Keenan A, Amintavakoli N, McGowan R. A systematic review on incidental findings in cone beam computed tomography (CBCT) scans. Dentomaxillofac Radiol 2019; 48: 20180396.
3. Damaskos S, Tsiklakis K, Syriopoulos K, van der Stelt P. Extra- and intra-cranial arterial calcifications in adults depicted as incidental findings on cone beam CT images. Acta Odontol Scand 2015; 73: 202-209.
4. Gracco A, Incerti Parenti S, Ioele C, Alessandri Bonetti G, Stellini E.
5. Prevalence of incidental maxillary sinus findings in Italian orthodontic patients: a retrospective cone-beam computed tomography study. Korean J Orthod 2012; 42: 329-334.
6. Barghan S, Tahmasbi Arashlow M, Nair MK. Incidental findings on cone beam computed tomography studies outside of the maxillofacial skeleton. Int J Dent 2016; 2016: 9196503.
7. Zain-Alabdeen EH, El Khateeb SM. Incidental cone beam computed tomographic findings among Taibah University patients, KSA: a retrospective study. J Taibah Univ Med Sci 2016; 12: 131-138.
8. Lopes IA, Tucunduva RMA, Handem RH, Capelozza ALA. Study of the frequency and location of incidental findings of the maxillofacial region in different fields of view in CBCT scans. Dentomaxillofac Radiol 2017; 46: 20160215.
9. Allareddy V, Vincent SD, Hellstein JW, Qian F, Smoker WR, Ruprecht A. Incidental findings on cone beam computed tomography images. Int J Dent 2012; 2012: 871532.
10. White SC, Michael JP. Oral Radiology. Principles and Interpretation. eBook. Elsevier Health Sciences; 2014.
11. Sedghizadeh PP, Nguyen M, Enciso R. Intracranial physiological calcifications evaluated with cone beam CT. Dentomaxillofac Radiol 2012; 41: 675-678.
12. Bayrak S, Goller Bulut D, Kursun Çakmak EŞ, Orhan K. Cone beam computed tomographic evaluation of intracranial physiologic calcifications. J Craniofac Surg 2019; 30: 510-513.
13. Yalcin ED, Ararat E. Prevalence of soft tissue calcifications in the head and neck region: a cone-beam computed tomography study. Niger J Clin Prac 2020; 23: 759-763.
14. Daghighi MH, Rezaei V, Zarrintan S, Pourfathi H. Intracranial physiological calcifications in adults on computed tomography in Tabriz, Iran. Folia Morphol 2007; 66: 115-119.
15. Miracle AC, Mukherji SK. Cone beam CT of the head and neck, part 1: physical principles. AJNR Am J Neuroradiol 2009; 30: 1088-1095.
16. Angelopoulos C, Scarfe WC, Farman AG. A comparison of maxillofacial CBCT and medical CT. Atlas Oral Maxillofac Surg Clin North Am 2012; 20: 1-17.
17. Mutalik S, Rengasamy K, Tadinada A. Incidental findings based on anatomical location and clinical significance in CBCT scans of dental implant patients. Quintessence Int 2018; 49: 419-426.
18. Cağlayan F, Tozoğlu U. Incidental findings in the maxillofacial region detected by cone beam CT. Diagn Interv Radiol 2012; 18: 159-163.
19. Ozdede M, Akay G, Karadag O, Peker I. Comparison of panora¬mic radiography and cone-beam computed tomography for the detection of tonsilloliths. Med Princ Pract 2020; 29: 279-284.
20. Selwaness M, van den Bouwhuijsen Q, van Onkelen RS, et al.
21. Atherosclerotic plaque in the left carotid artery is more vulnerable than in the right. Stroke 2014; 45: 3226-3230.
22. Beckstrom BW, Horsley SH, Scheetz JP, et al. Correlation between carotid area calcifications and periodontitis: a retrospective study of digital panoramic radiographic findings in pretreatment cancer patients. Oral Surg Oral Med Oral Pathol Oral Radiol Endod 2007; 103: 359-366.
23. de Weert TT, Cakir H, Rozie S, et al. Intracranial internal carotid artery calcifications: association with vascular risk factors and ischemic cerebrovascular disease. AJNR Am J Neuroradiol 2009; 30: 177-184.
24. Kiroglu Y, Callı C, Karabulut N, Oncel C. Intracranial calcifi cations on CT. Diagn Interv Radiol 2010; 16: 263-269.
25. Schilling J, Schilling A, Galdames SI. Ponticulus posticus on the posterior arch of atlas, prevalence analysis in asymptomatic patients. Int J Morphol 2010; 28: 317-322.
26. Taoka T, Iwasaki S, Nakagawa H, et al. Evaluation of arteriosclerotic changes in the intracranial carotid artery using the calcium score obtained on plain cranial computed tomography scan: correlation with angiographic changes and clinical outcome. J Comput Assist Tomogr 2006; 30: 624-628.
27. Sharma V, Chaudhary D, Mitra R. Prevalence of ponticulus posticus in Indian orthodontic patients. Dentomaxillofac Radiol 2010; 39: 277-283.
28. Sonntag VK. Beware of the arcuate foramen. World Neurosurg 2014; 82: e141-142.
29. Buyuk SK, Sekerci AE, Benkli YA, Ekizer A. A survey of ponticulus posticus: Radiological analysis of atlas in an orthodontic population based on cone-beam computed tomography. Niger J Clin Pract 2017; 20: 106-110.
30. Hong JT, Lee SW, Son BC, et al. Analysis of anatomical variations of bone and vascular structures around the posterior atlantal arch using three-dimensional computed tomography angiography.
31. J Neurosurg Spine 2008; 8: 230-236.
32. Elliott RE, Tanweer O. The prevalence of the ponticulus posticus (arcuate foramen) and its importance in the Goel-Harms procedure: meta-analysis and review of the literature. World Neurosurg 2014; 82: e335-343.
33. Young JP, Young PH, Ackermann MJ, Anderson PA, Riew KD. The ponticulus posticus: implications for screw insertion into the first cervical lateral mass. J Bone Joint Surg Am 2005; 87: 2495-2498.
34. Hasan M, Shukla S, Siddiqui MS, Singh D. Posterolateral tunnels and ponticuli in human atlas vertebrae. J Anat 2001; 199: 339-343.
35. Kim SH, Shin HC, Shin DA, Kim KN, Yoon DH. Early clinical experience with the mobi-C disc prosthesis. Yonsei Med J 2007; 48: 457-464.
36. Garay I, Netto HD, Olate S. Soft tissue calcified in mandibular angle area observed by means of panoramic radiography. Int J Clin Exp Med 2014; 7: 51-56.
37. Ergun T, Lakadamyali H. The prevalence and clinical importance of incidental soft-tissue findings in cervical CT scans of trauma population. Dentomaxillofac Radiol 2013; 42: 20130216.
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